Table of Contents

• VerbaNexAI at SemEval-2025 Task 9: Advances and Challenges in the Automatic Detection of Food HazardsAndrea Menco-Tovar, Juan Carlos Martínez Santos, Edwin Puertas. 1-6 [doi]
• REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language ModelsDonggeon Lee, Hwanjo Yu. 7-15 [doi]
• CTYUN-AI at SemEval-2025 Task 1: Learning to Rank for Idiomatic ExpressionsYuming Fan, Dongming Yang, ZeFeng Cai, Binghuai Lin. 16-19 [doi]
• JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative ModelsJieying Xue, Phuong Nguyen 0003, Minh Le Nguyen 0001, Xin Liu 0020. 20-27 [doi]
• YNU-HPCC at SemEval-2025 Task3: Leveraging Zero-Shot Learning for Halluciantion DetectionShen Chen, Jin Wang, Xuejie Zhang. 28-33 [doi]
• AtlasIA at SemEval-2025 Task 11: FastText-Based Emotion Detection in Moroccan Arabic for Low-Resource SettingsAbdeljalil Elmajjodi, Imane Momayiz, Nouamane Tazi. 34-37 [doi]
• Irapuarani at SemEval-2025 Task 10: Evaluating Strategies Combining Small and Large Language Models for Multilingual Narrative DetectionGabriel Assis, Lívia de Azevedo, Joao de Moraes, Laura Ribeiro, Aline Paes. 38-48 [doi]
• Domain_adaptation at SemEval-2025 Task 11: Adversarial Domain Adaptation for Text-based Emotion RecognitionMikhail Lepekhin, Serge Sharoff. 49-53 [doi]
• IRNLP at SemEval-2025 Task 10: Multilingual Narrative Characterization and ClassificationPanagiotis Kiousis. 54-57 [doi]
• NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?Géraud Faye, Guillaume Gadek, Wassila Ouerdane, Céline Hudelot, Sylvain Gatepaille. 58-66 [doi]
• keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span DetectionSaketh Reddy Vemula, Parameswari Krishnamurthy. 67-72 [doi]
• Team A at SemEval-2025 Task 11: Breaking Language Barriers in Emotion Detection with Multilingual ModelsP. Sam Sahil, Anupam Jamatia. 73-82 [doi]
• YNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction HeadersHao Yang, Jin Wang, Xuejie Zhang. 83-89 [doi]
• I2R-NLP at SemEval-2025 Task 8: Question Answering on Tabular DataYuze Gao, Bin Chen, Jian Su 0002. 90-101 [doi]
• TeleAI at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection with Prompt Engineering and Data AugmentationShiquan Wang, Mengxiang Li, Shengxiong Peng, Fang Yu, Zhongjiang He, Shuangyong Song, Yongxiang Li. 102-108 [doi]
• OZemi at SemEval-2025 Task 11: Multilingual Emotion Detection and IntensityHidetsune Takahashi, Sumiko Teng, Jina Lee, Wenxiao Hu, Rio Obe, Chuen Shin Yong, Emily Öhman. 109-115 [doi]
• DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language ModelsChao Liu, Junliang Liu, Tengxiao Lv, Huayang Li, Tao Zeng, Ling Luo 0001, Yuanyuan Sun 0002, Hongfei Lin. 116-121 [doi]
• ChuenSumi at SemEval-2025 Task 1: Sentence Transformer Models and Processing IdiomacitySumiko Teng, Chuen Shin Yong. 122-126 [doi]
• daalft at SemEval-2025 Task 1: Multi-step Zero-shot Multimodal Idiomaticity RankingDavid Alfter. 127-140 [doi]
• Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk ClassificationTung Le, Tri Ngo, Trung Dang. 141-147 [doi]
• GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative ClassificationIknoor Singh, Carolina Scarton, Kalina Bontcheva. 148-154 [doi]
• DKE-Research at SemEval-2025 Task 7: A Unified Multilingual Framework for Cross-Lingual and Monolingual Retrieval with Efficient Language-specific AdaptationYuqi Wang, Kangshi Wang. 155-159 [doi]
• wangkongqiang at SemEval-2025 Task 11:Bridging the Gap in Text-Based Emotion DetectionKongqiang Wang. 160-164 [doi]
• UNEDTeam at SemEval-2025 Task 10: Zero-Shot Narrative ClassificationJesus M. Fraile-Hernandez, Anselmo Peñas. 165-173 [doi]
• DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online NewsTengxiao Lv, Juntao Li, Chao Liu, Yiyang Kang, Ling Luo 0001, Yuanyuan Sun 0002, Hongfei Lin. 174-179 [doi]
• PuerAI at SemEval-2025 Task 9: Research on Food Safety Data Classification Using ModernBERTJiaxu Dao, Zhuoying Li, Xiuzhong Tang, Youbang Su, Qingsong Zhou, Weida He, Xiaoli Lan. 180-185 [doi]
• TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical RulesVishal S, Rajalakshmi Sivanaiah, Angel Deborah S. 186-192 [doi]
• iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in EnglishMikhail Pukemo, Aleksandr Levykin, Dmitry Melikhov, Gleb Skiba, Roman Ischenko, Konstantin Vorontsov. 193-197 [doi]
• CIOL at SemEval-2025 Task 11: Multilingual Pre-trained Model Fusion for Text-based Emotion RecognitionMd. Iqramul Hoque, Mahfuz Ahmed Anik, Abdur Rahman, Azmine Toushik Wasi. 198-208 [doi]
• UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim RetrievalLadislav Lenc, Daniel Cífka, Jirí Martínek, Jakub Smíd, Pavel Král. 209-215 [doi]
• 111DUT at SemEval-2025 Task 8:Hierarchical Chain-of-Thought Reasoning and Multi-Model Deliberation for Robust TableQAJiaqi Yao, Erchen Yu, Yicen Tian, Yiyang Kang, Jiayi Zhang, Hongfei Lin, Linlin Zong, Bo Xu 0009. 216-221 [doi]
• DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion DetectionSowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah, Angel Deborah S, Mirnalinee Thanganadar Thangathai. 222-227 [doi]
• QM-AI at SemEval-2025 Task 6: an Ensemble of BERT Models for Promise Identification in ESG ContextZihang Sun, Filip Sobczak. 228-233 [doi]
• YNU-HPCC at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-checked Claim RetrievalYuheng Mao, Jin Wang, Xuejie Zhang. 234-240 [doi]
• adithjrajeev at SemEval-2025 Task 10: Sequential Learning for Role Classification Using Entity-Centric News SummariesAdith Rajeev, Radhika Mamidi. 241-246 [doi]
• xiacui at SemEval-2025 Task 11: Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted LossXia Cui. 247-256 [doi]
• UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination DetectionMichelle Wastl, Jannis Vamvas, Rico Sennrich. 257-270 [doi]
• NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPTJiaying Hong, Thanet Markchom, Jianfei Xu, Tong Wu, Huizhi Liang. 271-279 [doi]
• UniBuc at SemEval-2025 Task 9: Similarity Approaches to ClassificationMarius Micluta-Câmpeanu. 280-287 [doi]
• UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity RepresentationThanet Markchom, Tong Wu, Liting Huang, Huizhi Liang. 288-295 [doi]
• NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMsAlberto Caballero, Álvaro Rodrigo, Roberto Centeno. 296-301 [doi]
• tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned TransformersTing Zhu, Liting Huang, Huizhi Liang. 302-307 [doi]
• NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media PostsAlex Robertson, Huizhi Liang. 308-313 [doi]
• XLM-Muriel at SemEval-2025 Task 11: Hard Parameter Sharing for Multi-lingual Multi-label Emotion DetectionPouya Hosseinzadeh, Mohammad Mehdi Ebadzadeh, Hossein Zeinali. 314-318 [doi]
• Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive LearningTian Li, Yujian Sun, Huizhi(elly) Liang. 319-330 [doi]
• UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and NewsAisha Aman Parveen. 331-335 [doi]
• CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple LanguagesJiyu Chen, Necva Bölücü, Sarvnaz Karimi, Diego Mollá, Cécile Paris. 336-342 [doi]
• OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular QuestionsEmmanuel Osei-Brefo, Huizhi Liang. 343-349 [doi]
• INFOTEC-NLP at SemEval-2025 Task 11: A Case Study on Transformer-Based Models and Bag of WordsEmmanuel Santos-Rodriguez, Mario Graff. 350-356 [doi]
• sonrobok4 Team at SemEval-2025 Task 8: Question Answering over Tabular Data Using Pandas and Large Language ModelsNguyen Minh Son, Dang Thin. 357-362 [doi]
• DUTIR831 at SemEval-2025 Task 5: A Multi-Stage LLM Approach to GND Subject Assignment for TIBKAT RecordsYicen Tian, Erchen Yu, Yanan Wang, Dailin Li, Jiaqi Yao, Hongfei Lin, Linlin Zong, Bo Xu 0009. 363-372 [doi]
• gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label ClassificationBo Wang 0134, Ruichen Song, Xiangyu Wang, Ge Shi 0002, Linmei Hu, Heyan Huang, Chong Feng 0001. 373-380 [doi]
• NCL-NLP at SemEval-2025 Task 11: Using Prompting engineering framework and Low Rank Adaptation of Large Language Models for Multi-label Emotion DetectionKun Lu. 381-385 [doi]
• BERTastic at SemEval-2025 Task 10: State-of-the-Art Accuracy in Coarse-Grained Entity Framing for Hindi NewsTarek Mahmoud, Zhuohan Xie, Preslav Nakov. 386-396 [doi]
• Heimerdinger at SemEval-2025 Task 11: A Multi-Agent Framework for Perceived Emotion Detection in Multilingual TextZeliang Tong, Zhuojun Ding, Yingjia Li. 397-406 [doi]
• Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language ModelsDinesh P. Srivasthav, Bala Mallikarjunarao Garlapati. 407-417 [doi]
• NCLTeam at SemEval-2025 Task 10: Enhancing Multilingual, multi-class, and Multi-Label Document Classification via Contrastive Learning Augmented Cascaded UNet and Embedding based ApproachesShu Li, George Williamson, Huizhi Liang. 418-423 [doi]
• DUTtask10 at SemEval-2025 Task 10: ThoughtFlow: Hierarchical Narrative Classification via Stepwise PromptingDu Py, Huayang Li, Liang Yang 0003, Shaowu Zhang 0002. 424-430 [doi]
• Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion ClassificationNiloofar Ranjbar, Hamed Baghbani. 431-439 [doi]
• LTG at SemEval-2025 Task 10: Optimizing Context for Classification of Narrative RolesEgil Rønningstad, Gaurav Negi. 440-447 [doi]
• CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination AnnotationXu Liu, Guanyi Chen. 448-454 [doi]
• ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim RetrievalRrubaa Panchendrarajan, Rafael Martins Frade, Arkaitz Zubiaga. 455-462 [doi]
• NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning StrategyChi Kuan Lai, Yifei Chen. 463-467 [doi]
• Team Unibuc - NLP at SemEval-2025 Task 11: Few-shot text-based emotion detectionClaudiu Creanga, Teodor-George Marchitan, Liviu P. Dinu. 468-475 [doi]
• YNU-HPCC at SemEval-2025 Task 2: Local Cache and Online Retrieval-Based method for Entity-Aware Machine TranslationHao Li, Jin Wang, Xuejie Zhang. 476-481 [doi]
• TechSSN3 at SemEval-2025 Task 9: Food Hazard and Product Detection - Category Identification and Vector PredictionRajalakshmi Sivanaiah, Karpagavalli S, Karthikeyan S, Krithika C. 482-486 [doi]
• MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple StepsMaximiliano Hormazábal-Lagos, Álvaro Bueno Saez, Héctor Cerezo-Costas, Pedro Alonso Doval, Jorge Alcalde Vesteiro. 487-493 [doi]
• CYUT at SemEval-2025 Task 6: Prompting with Precision - ESG Analysis via Structured PromptsShih-Hung Wu, Z. h i-H. o n g Lin, Ping-Hsuan Lee. 494-501 [doi]
• Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion DetectionAngeliki Linardatou, Paraskevi Platanou. 502-507 [doi]
• YNWA_PZ at SemEval-2025 Task 11: Multilingual Multi-Label Emotion ClassificationMohammad Sadegh Poulaei, Mohammad Erfan Zare, Mohammad Reza Mohammadi, Sauleh Eetemadi. 508-521 [doi]
• DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and RetentionZekun Wang, Jingjie Zeng, Yingxu Li, Liang Yang 0003, Hongfei Lin. 522-526 [doi]
• Zuifeng at SemEval-2025 Task 9: Multitask Learning with Fine-Tuned RoBERTa for Food Hazard DetectionDapeng Sun, Sensen Li, Yike Wang, ShaoWu Zhang. 527-531 [doi]
• IEGPS-CSIC at SemEval-2025 Task 11: BERT-based approach for Multi-label Emotion Detection in English and Russian textsAlbina Sarymsakova, Patricia Martín-Rodilla. 532-538 [doi]
• CHILL at SemEval-2025 Task 2: You Can't Just Throw Entities and Hope - Make Your LLM to Get Them RightJaebok Lee, Yonghyun Ryu, Seongmin Park, Yoonjung Choi. 539-545 [doi]
• AlexUNLP-NB at SemEval-2025 Task 1: A Pipeline for Idiom Disambiguation and Visual RepresentationMohamed Badran, Youssof Nawar, Nagwa M. El-Makky. 546-550 [doi]
• RACAI at SemEval-2025 Task 7: Efficient adaptation of Large Language Models for Multilingual and Crosslingual Fact-Checked Claim RetrievalRadu-Gabriel Chivereanu, Dan Tufis. 551-557 [doi]
• FII the Best at SemEval 2025 Task 2: Steering State-of-the-art Machine Translation Models with Strategically Engineered Pipelines for Enhanced Entity TranslationDelia-Iustina Grigorita, Tudor-Constantin Pricop, Sergio-Alessandro Suteu, Daniela Gifu, Diana Trandabat. 558-565 [doi]
• ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model MergingHaoming Xu, Shuxun Wang, Yanqiu Zhao, Yi Zhong, Ziyan Jiang, Ningyuan Zhao, Shumin Deng, Huajun Chen, Ningyu Zhang 0001. 566-574 [doi]
• GPLSICORTEX at SemEval-2025 Task 10: Leveraging Intentions for Generating Narrative ExtractionsIván Martínez-Murillo, María Miró Maestre, Aitana Morote Martínez, Snorre Ralund, Elena Lloret, Paloma Moreda Pozo, Armando Suárez Cueto. 575-583 [doi]
• MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion DetectionMilad Afshari, Richard Frost, Samantha Kissel, Kristen Johnson. 584-589 [doi]
• cocoa at SemEval-2025 Task 10: Prompting vs. Fine-Tuning: A Multilevel Approach to Propaganda ClassificationVineet Saravanan, Steven Wilson. 590-594 [doi]
• CICL at SemEval-2025 Task 9: A Pilot Study on Different Machine Learning Models for Food Hazard Detection ChallengeWeiting Wang, Wanzhao Zhang. 595-600 [doi]
• Hallucination Detectives at SemEval-2025 Task 3: Span-Level Hallucination Detection for LLM-Generated AnswersPassant Elchafei, Mervat Abu-Elkheir. 601-606 [doi]
• iLostTheCode at SemEval-2025 Task 10: Bottom-up Multilevel Classification of Narrative TaxonomiesLorenzo Concas, Manuela Sanguinetti, Maurizio Atzori. 607-616 [doi]
• Pixel Phantoms at SemEval-2025 Task 11: Enhancing Multilingual Emotion Detection with a T5 and mT5-Based ApproachJithu Morrison S, Janani Hariharakrishnan, Harsh Pratap Singh. 617-622 [doi]
• TableWise at SemEval-2025 Task 8: LLM Agents for TabQAHarsh Bansal, Aman Raj, Akshit Sharma, Parameswari Krishnamurthy. 623-626 [doi]
• madhans476 at SemEval-2025 Task 9: Multi-Model Ensemble and Prompt-Based Learning for Food Hazard PredictionMadhan S, Gnanesh R, Gopal D, Sunil Saumya. 627-633 [doi]
• UniBuc-AE at SemEval-2025 Task 7: Training Text Embedding Models for Multilingual and Crosslingual Fact-Checked Claim RetrievalAlexandru Enache. 634-639 [doi]
• GT-NLP at SemEval-2025 Task 11: EmoRationale, Evidence-Based Emotion Detection via Retrieval-Augmented GenerationDaniel Saeedi, Alireza Kheirandish, Sirwe Saeedi, Hossein Sahour, Aliakbar Panahi, Iman Naeeni. 640-650 [doi]
• STFXNLP at SemEval-2025 Task 11 Track A: Neural Network, Schema, and Next Word Prediction-based Approaches to Perceived Emotion DetectionNoah Murrant, Samantha Brooks, Milton King. 651-656 [doi]
• LATE-GIL-nlp at Semeval-2025 Task 10: Exploring LLMs and transformers for Characterization and extraction of narratives from online newsIván Díaz, Fredin Vázquez, Christian Luna, Aldair Conde, Gerardo Sierra, Helena Gómez-Adorno, Gemma Bel Enguix. 657-665 [doi]
• LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced DataJesús Vázquez-Osorio, Helena Gómez-Adorno, Gerardo Sierra, Vladimir Sierra-Casiano, Diana Canchola-Hernández, José Tovar-Cortés, Roberto Solís-Vilchis, Gabriel Salazar. 666-674 [doi]
• HTU at SemEval-2025 Task 11: Divide and Conquer - Multi-Label emotion classification using 6 DziriBERTs submodels with Label-fused Iterative Mask Filling technique for low-resource data augmentationAbdallah-Saleh, Mariam Biltawi. 675-683 [doi]
• BlueToad at SemEval-2025 Task 3: Using Question-Answering-Based Language Models to Extract Hallucinations from Machine-Generated TextMichiel Pronk, Ekaterina Kamyshanova, Thijmen Adam, Maxim Van Der Maesen De Sombreff. 684-694 [doi]
• IASBS at SemEval-2025 Task 11: Ensembling Transformers for Bridging the Gap in Text-Based Emotion DetectionMehrzad Tareh, Erfan Mohammadzadeh, Aydin Mohandesi, Ebrahim Ansari. 695-702 [doi]
• SBU-NLP at SemEval-2025 Task 8: Self-Correction and Collaboration in LLMs for Tabular Question AnsweringRashin Rahnamoun, Mehrnoush Shamsfard. 703-711 [doi]
• Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim RetrievalShujauddin Syed, Ted Pedersen. 712-717 [doi]
• BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language ModelsAurora Gensale, Irene Benedetto, Luca Gioacchini, Luca Cagliero, Alessio Bosca. 718-725 [doi]
• G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular DataWei Zhou 0067, Mohsen Mesgar, Annemarie Friedrich, Heike Adel. 726-742 [doi]
• UMUTeam at SemEval-2025 Task 1: Leveraging Multimodal and Large Language Model for Identifying and Ranking Idiomatic ExpressionsRonghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-García. 743-749 [doi]
• UMUTeam at SemEval-2025 Task 3: Detecting Hallucinations in Multilingual Texts Using Encoder-only Models Guided by Large Language ModelsRonghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-García. 750-756 [doi]
• UMUTeam at SemEval-2025 Task 7: Multilingual Fact-Checked Claim Retrieval with XLM-RoBERTa and Self-Alignment Pretraining StrategyRonghao Pan, Tomás Bernal-Beltrán, José Antonio García-Díaz, Rafael Valencia-García. 757-762 [doi]
• Lazarus NLP at SemEval-2025 Task 11: Fine-Tuning Large Language Models for Multi-Label Emotion Classification via Sentence-Label PairingWilson Wongso, David Samuel Setiawan, Ananto Joyoadikusumo, Steven Limcorn. 763-772 [doi]
• RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold TuningRavindran V., Rajalakshmi Sivanaiah, Angel Deborah S. 773-779 [doi]
• Modgenix at SemEval-2025 Task 1: Context Aware Vision Language Ranking (CAViLR) for Multimodal Idiomaticity UnderstandingJoydeb Mondal, Pramir Sarkar. 780-784 [doi]
• ABCD at SemEval-2025 Task 9: BERT-based and Generation-based models combine with advanced weighted majority soft voting strategyTai Le, Dang Thin. 785-790 [doi]
• Sakura at SemEval-2025 Task 2: Enhancing Named Entity Translation with Fine-Tuning and Preference OptimizationAlberto Poncelas, Ohnmar Htun. 791-796 [doi]
• GOLDX at SemEval-2025 Task 11: RoBERTa for Text-Based Emotion DetectionBill Clinton. 797-800 [doi]
• EMO-NLP at SemEval-2025 Task 11: Multi-label Emotion Detection in Multiple Languages Based on XLMCNNJing Li, Yucheng Xian, Xutao Yang. 801-806 [doi]
• Anaselka at SemEval-2025 Task 9: Leveraging SVM and MNB for Detecting Food HazardAnwar Annas, Al Hafiz Siagian. 807-811 [doi]
• MyMy at SemEval-2025 Task 9: A Robust Knowledge-Augmented Data Approach for Reliable Food Hazard DetectionBen Phan, Jung-Hsien Chiang. 812-822 [doi]
• Tue-JMS at SemEval-2025 Task 11: KReLax: An Ensemble-Based Approach for Multilingual Emotion Detection and Addressing Data ImbalanceJingyu Han, Megan Horikawa, Suvi Lehtosalo. 823-833 [doi]
• QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim RetrievalYouzheng Liu, Jiyan Liu, Xiaoman Xu, Taihang Wang, Yimin Wang 0002, Ye Jiang 0001. 834-840 [doi]
• CCNU at SemEval-2025 Task 8: Enhancing Question Answering on Tabular Data with Two-Stage CorrectionsChenlian Zhou, Xilu Cai, Yajuan Tong, Chengzhao Wu, Xin Xu, Guanyi Chen, Tingting He 0003. 841-845 [doi]
• HalluRAG-RUG at SemEval-2025 Task 3: Using Retrieval-Augmented Generation for Hallucination Detection in Model OutputsSilvana Abdi, Mahrokh Hassani, Rosalien Kinds, Timo Strijbis, Roman Terpstra. 846-851 [doi]
• SALT at SemEval-2025 Task 2: A SQL-based Approach for LLM-Free Entity-Aware-TranslationTom Völker, Jan Pfister, Andreas Hotho. 852-864 [doi]
• AlexNLP-MO at SemEval-2025 Task 8: A Chain of Thought Framework for Question-Answering over Tabular DataOmar Mokhtar, Nagia M. Ghanem, Nagwa M. El-Makky. 865-873 [doi]
• Team UBD at SemEval-2025 Task 11: Balancing Class and Task Importance for Emotion DetectionCristian Daniel Paduraru. 874-884 [doi]
• HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine TranslationAbdulhamid Abubakar, Hamidatu Abdulkadir, Rabiu Ibrahim Abdullahi, Auwal Abubakar Khalid, Ahmad Mustapha Wali, Amina Aminu Umar, Maryam Bala, Sani Abdullahi Sani, Ibrahim Said Ahmad, Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Vukosi Marivate. 885-892 [doi]
• Trans-Sent at SemEval-2025 Task 11: Text-based Multi-label Emotion Detection using Pre-Trained BERT Transformer ModelsZafar Sarif, Md. Akhtar, Dr. Abhishek Das, Dipankar Das. 893-898 [doi]
• KostasThesis2025 at SemEval-2025 Task 10 Subtask 2: A Continual Learning Approach to Propaganda Analysis in Online NewsKonstantinos Eleftheriou, Panos Louridas, John Pavlopoulos. 899-908 [doi]
• DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in ModelsShengdi Yin, Zekun Wang, Liang Yang 0003, Hongfei Lin. 909-913 [doi]
• BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard ClassificationFoteini Papadopoulou, Osman Mutlu, Neris Özen, Bas H. M. van der Velden, Iris Hendrickx, Ali Hurriyetoglu. 914-930 [doi]
• Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom UnderstandingYingzhou Zhao, Bowen Guan, Liang Yang, Hongfei Lin. 931-936 [doi]
• TabaQA at SemEval-2025 Task 8: Column Augmented Generation for Question Answering over Tabular DataEkaterina Antropova, Egor Kratkov, Roman Derunets, Margarita Trofimova, Ivan Bondarenko, Alexander Panchenko, Vasily Konovalov, Maksim Savkin. 937-952 [doi]
• NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject RecommendationBaharul Islam, Nasim Ahmad, Ferdous A. Barbhuiya, Kuntal Dey. 953-958 [doi]
• QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label ClassificationAngeline Wang, Aditya Gupta, Iran Roman, Arkaitz Zubiaga. 959-964 [doi]
• Team INSALyon2 at SemEval-2025 Task 10: A Zero-shot Agentic Approach to Text ClassificationMohamed-Nour Eljadiri, Diana Nurbakova. 965-980 [doi]
• Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERTYutong Wang, Diana Nurbakova, Sylvie Calabretto. 981-988 [doi]
• MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination DetectionBaraa Hikal, Ahmed Nasreldin, Ali Hamdi. 989-995 [doi]
• SRCB at SemEval-2025 Task 9: LLM Finetuning Approach based on External Attention Mechanism in The Food Hazard DetectionYuMing Zhang, HongYu Li, Yongwei Zhang, Shanshan Jiang 0001, Bin Dong 0003. 996-1003 [doi]
• Emotion Train at SemEval-2025 Task 11: Comparing Generative and Discriminative Models in Emotion RecognitionAnastasiia Demidova, Injy Hamed, Teresa Lynn, Thamar Solorio. 1004-1014 [doi]
• uir-cis at SemEval-2025 Task 3: Detection of Hallucinations in Generated TextJia Huang, Shuli Zhao, Yaru Zhao, Tao Chen, Weijia Zhao, Hangui Lin, Yiyang Chen, Binyang Li. 1015-1022 [doi]
• NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large TranformerVijay Karthick Vaidyanathan, Srihari V. K, Mugilkrishna D. U, Saritha Madhavan. 1023-1027 [doi]
• Firefly Team at SemEval-2025 Task 8: Question-Answering over Tabular Data using SQL/Python generation with Closed-Source Large Language ModelsNga Ho, Tuyen Ho, Hung Le, Dang Thin. 1028-1033 [doi]
• SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination DetectionElisei Rykov, Valerii Olisov, Maksim Savkin, Artem Vazhentsev, Kseniia Titova, Alexander Panchenko, Vasily Konovalov, Julia Belikova. 1034-1045 [doi]
• NeuroReset : LLM Unlearning via Dual Phase Mixed MethodologyDhwani Bhavankar, Het Sevalia, Shubh Agarwal, Yogesh Kulkarni, Rahee Walambe, Ketan Kotecha. 1046-1051 [doi]
• Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity FramingJiyan Liu, Youzheng Liu, Taihang Wang, Xiaoman Xu, Yimin Wang 0002, Ye Jiang 0001. 1052-1056 [doi]
• AGHNA at SemEval-2025 Task 11: Predicting Emotion and Its Intensity within a Text with EmoBERTaMoh. Abyan. 1057-1063 [doi]
• TUM-MiKaNi at SemEval-2025 Task 3: Towards Multilingual and Knowledge-Aware Non-factual Hallucination IdentificationMiriam Anschütz, Ekaterina Gikalo, Niklas Herbster, Georg Groh. 1064-1076 [doi]
• NITK-VITAL at SemEval-2025 Task 11: Focal-RoBERTa: Addressing Class Imbalance in Multi-Label Emotion ClassificationAshinee Kesanam, Gummuluri Venkata Ravi Ram, B. Chaithanya Swaroop, G. Ram Mohana Reddy. 1077-1081 [doi]
• CharsiuRice at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion DetectionHiu Yan Yip, Hing Man Chiu, Hai-Yin Yang. 1082-1088 [doi]
• Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM WeightsAlex Chandler, Harika Abburi, Sanmitra Bhattacharya, Edward Bowen, Nirmala Pudota. 1089-1097 [doi]
• ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question AnsweringCatherine Kobus, François Lancelot, Marion-Cécile Martin, Nawal Ould Amer. 1098-1107 [doi]
• Dianchi at SemEval-2025 Task 11: Multilabel Emotion Recognition via Orthogonal Knowledge DistillationZhenlan Wang, Jiaxuan Liu. 1108-1112 [doi]
• zhouyijiang1 at SemEval-2025 Task 11: A Multi-tag Detection Method based on Pre-training Language ModelsZhou Jiang, Dengtao Zhang. 1113-1117 [doi]
• DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject IndexingLisa Kluge, Maximilian Kähler. 1118-1128 [doi]
• NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity PredictionZhe-Yu Xu, Yu-Hsin Wu, Lung-Hao Lee. 1129-1135 [doi]
• PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion DetectionZhihao Ruan, Runyang You, Kaifeng Yang, Junxin Lin, Wenwen Dai, Mengyuan Zhou, Meizhi Jin, Xinyue Mei. 1136-1142 [doi]
• FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span DetectionFlor Alberts, Ivo Bruinier, Nathalie Palm, Justin Paetzelt, Erik Varecha. 1143-1151 [doi]
• GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM UnlearningHrishikesh Kulkarni, Nazli Goharian, Ophir Frieder. 1152-1158 [doi]
• ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-CheckingIva Pezo, Allan Hanbury, Moritz Staudinger. 1159-1167 [doi]
• Tarbiat_Modares_SemEval2025_Task11_MultiLabel_Emotion_TransferLearningSara Bourbour, Maryam Gheysari, Amin Saeidi Kelishami, Tahereh Talaei, Fatemeh Rahimzadeh, Erfan Moeini. 1168-1173 [doi]
• OPI-DRO-HEL at SemEval-2025 Task 9: Integrating Transformer-Based Classification with LLM-Assisted Few-Shot Learning for Food Hazard DetectionMartyna Spiewak, Daniel Karas. 1174-1180 [doi]
• Zero at SemEval-2025 Task 11: Multilingual Emotion Classification with BERT Variants: A Comparative StudyRevanth Gundam, Abhinav Marri, Radhika Mamidi. 1181-1186 [doi]
• Zero at SemEval-2025 Task 2: Entity-Aware Machine Translation: Fine-Tuning NLLB for Improved Named Entity TranslationRevanth Gundam, Abhinav Marri, Advaith Malladi, Radhika Mamidi. 1187-1191 [doi]
• VerbaNexAI at SemEval-2025 Task 11 Track A: A RoBERTa-Based Approach for the Classification of Emotions in TextDanileth Almanza-Gonzalez, Juan Carlos Martínez Santos, Edwin Puertas. 1192-1197 [doi]
• dutir914 at SemEval-2025 Task 1: An integrated approach for Multimodal Idiomaticity RepresentationsYanan Wang, Dailin Li, Yicen Tian, Bo Zhang 0121, Jian Wang 0021, Liang Yang 0003. 1198-1203 [doi]
• Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM AnswersAnastasia Voznyuk, German Gritsai, Andrey V. Grabovoy. 1204-1210 [doi]
• PALI-NLP at SemEval 2025 Task 1: Multimodal Idiom Recognition and AlignmentRunyang You, Xinyue Mei, Mengyuan Zhou. 1211-1216 [doi]
• UTBNLP at Semeval-2025 Task 11: Predicting Emotion Intensity with BERT and VAD-Informed AttentionMelissa Moreno, Juan Carlos Martínez Santos, Edwin Puertas. 1217-1222 [doi]
• Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular dataPawel Bujnowski, Tomasz Dryjanski, Christian Goltz, Bartosz Swiderski, Natalia Paszkiewicz, Bartlomiej Kuzma, Jacek Rutkowski, Jakub Stepka, Milosz Dudek, Wojciech Siemiatkowski, Weronika Plichta, Bartlomiej Paziewski, Maciej Grabowski, Katarzyna Beksa, Zuzanna Bordzicka, Filip Ostrowski, Grzegorz Sochacki. 1223-1232 [doi]
• OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion RecognitionDaniel Karas, Martyna Spiewak. 1233-1240 [doi]
• Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular dataKamal Raj Kanakarajan, Hwanmun Kim, Malaikannan Sankarasubbu. 1241-1247 [doi]
• Tuebingen at SemEval-2025 Task 10: Class Weighting, External Knowledge and Data Augmentation in BERT ModelsÖzlem Karabulut, Soudabeh Eslami, Ali Gharaee, Matthew Andrews. 1248-1254 [doi]
• VerbaNexAI at SemEval-2025 Task 2: Enhancing Entity-Aware Translation with Wikidata-Enriched MarianMTDaniel Peña Gnecco, Juan Carlos Martínez Santos, Edwin Puertas. 1255-1262 [doi]
• CSECU-Learners at SemEval-2025 Task 9: Enhancing Transformer Model for Explainable Food Hazard Detection in TextMonir Ahmad, Md. Akram Hossain, Abu Nowshed Chy. 1263-1268 [doi]
• NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion DetectionSadman Sakib, Ahaj Mahhin Faiak, Abdullah Ibne Hanif Arean, Fariha Anjum Shifa. 1269-1275 [doi]
• WordWiz at SemEval-2025 Task 10: Optimizing Narrative Extraction in Multilingual News via Fine-Tuned Language ModelsRuhollah Ahmadi, Hossein Zeinali. 1276-1281 [doi]
• LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QAAdrián Gude, Roi Santos-Rios, Francisco Prado-Valiño, Ana Ezquerro, Jesús Vilares. 1282-1288 [doi]
• AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination DetectionDimitra Karkani, Maria Lymperaiou, George Filandrianos, Nikolaos Spanos, Athanasios Voulodimos, Giorgos Stamou. 1289-1305 [doi]
• Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QAGiuseppe Attardi, Andrea Nelson Mauro, Daniele Sartiano. 1306-1312 [doi]
• Core Intelligence at SemEval-2025 Task 8: Multi-hop LLM Agent for Tabular Question AnsweringMaryna Chernyshevich. 1313-1317 [doi]
• MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model ValidationClaudio Savelli, Alkis Koudounas, Flavio Giobergia. 1318-1324 [doi]
• LCTeam at SemEval-2025 Task 3: Multilingual Detection of Hallucinations and Overgeneration Mistakes Using XLM-RoBERTaAraya Hailemariam, Jose Maldonado Rodriguez, Ezgi Basar, Roman Kovalev, Hanna Shcharbakova. 1325-1331 [doi]
• CSECU-Learners at SemEval-2025 Task 11: Multilingual Emotion Recognition and Intensity Prediction with Language-tuned Transformers and Multi-sample DropoutMonir Ahmad, Muhammad Anwarul Azim, Abu Nowshed Chy. 1332-1341 [doi]
• QleverAnswering-PUCRS at SemEval-2025 Task 8: Exploring LLM agents, code generation and correction for Table Question AnsweringAndré Bergmann Lisboa, Lucas Cardoso Azevedo, Lucas Rafael Costella Pessutto. 1342-1350 [doi]
• Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard DetectionRabia Shahab, Iqra Azfar, Hammad Sajid, Ayesha Enayat. 1351-1356 [doi]
• iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning lossYujian Sun, Tian Li. 1357-1369 [doi]
• Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim RetrievalAmirMohammad Azadi, Sina Zamani, Mohammadmostafa Rostamkhani, Sauleh Eetemadi. 1370-1376 [doi]
• CAISA at SemEval-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim RetrievalMuqaddas Haroon, Shaina Ashraf, Ipek Baris, Lucie Flek. 1377-1382 [doi]
• AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data ChunkingIraklis Premptis, Maria Lymperaiou, George Filandrianos, Orfeas Menis-Mastromichalakis, Athanasios Voulodimos, Giorgos Stamou. 1383-1405 [doi]
• Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English DataGirma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza, Grigori Sidorov, Mesay Gemeda Yigezu. 1406-1410 [doi]
• NarrativeNexus at SemEval-2025 Task 10: Entity Framing and Narrative Extraction using BARTHareem Siraj, Kushal Chandani, Dua E. Sameen, Ayesha Enayat. 1411-1414 [doi]
• Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference OptimizationJan Bronec, Jindrich Helcl. 1415-1422 [doi]
• AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringAndreas Evangelatos, George Filandrianos, Maria Lymperaiou, Athanasios Voulodimos, Giorgos Stamou. 1423-1435 [doi]
• HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination DetectionMohamed Abdallah, Samhaa R. El-Beltagy. 1436-1441 [doi]
• COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical PromptingAzwad Anjum Islam, Mark A. Finlayson. 1442-1449 [doi]
• SyntaxMind at SemEval-2025 Task 11: BERT Base Multi-label Emotion Detection Using Gated Recurrent UnitMd. Shihab Uddin Riad, Mohammad Aman Ullah. 1450-1455 [doi]
• DEMON at SemEval-2025 Task 10: Fine-tuning LLaMA-3 for Multilingual Entity FramingMatteo Fenu, Manuela Sanguinetti, Maurizio Atzori. 1456-1464 [doi]
• ITF-NLP at SemEval-2025 Task 11 An Exploration of English and German Multi-label Emotion Detection using Fine-tuned Transformer ModelsSamantha Kent, Theresa Nindel. 1465-1472 [doi]
• RaggedyFive at SemEval-2025 Task 3: Hallucination Span Detection Using Unverifiable Answer DetectionWessel Heerema, Collin Krooneman, Simon Van Loon, Jelmer Top, Maurice Voors. 1473-1478 [doi]
• JNLP at SemEval-2025 Task 1: Multimodal Idiomaticity Representation with Large Language ModelsBlake Matheny, Phuong Nguyen, Minh Nguyen. 1479-1484 [doi]
• Tewodros at SemEval-2025 Task 11: Multilingual Emotion Intensity Detection using Small Language ModelsMikiyas Eyasu, Wendmnew Sitot Abebaw, Nida Hafeez, Fatima Uroosa, Tewodros Achamaleh Bizuneh, Grigori Sidorov, Alexander F. Gelbukh. 1485-1494 [doi]
• SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity TranslationXinye Yang, Kalina Bontcheva, Xingyi Song. 1495-1503 [doi]
• ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code GenerationAtakan Site, Emre Hakan Erdemir, Gülsen Eryigit. 1504-1514 [doi]
• Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text ReportsAman Sinha 0002, Federica Gamba. 1515-1521 [doi]
• Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal LossZhuoang Cai, Zhenghao Li, Yang Liu 0165, Liyuan Guo, Yangqiu Song. 1522-1527 [doi]
• Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMsAleksey Kudelya, Alexander Shirnin. 1528-1533 [doi]
• VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify HallucinationsAnderson Morillo, Edwin Puertas, Juan Carlos Martínez Santos. 1534-1541 [doi]
• Team KiAmSo at SemEval-2025 Task 11: A Comparison of Classification Models for Multi-label Emotion DetectionKimberly Sharp, Sofia Kathmann, Amelie Rüeck. 1542-1548 [doi]
• FiRC-NLP at SemEval-2025 Task 11: To Prompt or to Fine-Tune? Approaches for Multilingual Emotion ClassificationWondimagegnhue Tufa, Fadi Hassan, Evgenii Migaev, Yalei Fu. 1549-1556 [doi]
• GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation ConstraintsKarla Salas-Jimenez, Francisco F. López-Ponce, Diego Hernández-Bustamante, Gemma Bel Enguix, Helena Gómez-Adorno. 1557-1562 [doi]
• UncleLM at SemEval-2025 Task 11: RAG-Based Few-Shot Learning and Fine-Tuned Encoders for Multilingual Emotion DetectionMobin Barfi, Sajjad Mehrpeyma, Nasser Mozayani. 1563-1569 [doi]
• UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion DetectionFrances Adriana Laureano De Leon, Yixiao Wang, Yue Feng, Mark Lee 0001. 1570-1576 [doi]
• GIL-IIMAS UNAM at SemEval-2025 Task 3: MeSSI: A Multilmodule System to detect hallucinated Segments in trivia-like InquiriesFrancisco F. López-Ponce, Karla Salas-Jimenez, Adrián Juárez-Pérez, Diego Hernández-Bustamente, Gemma Bel Enguix, Helena Gómez-Adorno. 1577-1584 [doi]
• Howard University-AI4PC at SemEval-2025 Task 10: Ensembling LLMs for Multi-lingual Multi-Label and Multi-Class Meta-ClassificationSaurav K. Aryal, Prasun Dhungana. 1585-1592 [doi]
• HU at SemEval-2025 Task 9: Leveraging LLM-Based Data Augmentation for Class ImbalanceMuhammad Saad, Meesum Abbas, Sandesh Kumar, Abdul-Samad. 1593-1601 [doi]
• FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration MistakesTariq Ballout, Pieter Jansma, Nander Koops, Yong Hui Zhou. 1602-1608 [doi]
• CIC-IPN at SemEval-2025 Task 11: Transformer-Based Approach to Multi-Class Emotion DetectionTolulope O. Abiola, Olumide Ebenezer Ojo, Grigori Sidorov, Olga Kolesnikova, Hiram Calvo. 1609-1615 [doi]
• Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMUArjun Dosajh, Mihika Sanghi. 1616-1622 [doi]
• CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information RetrievalDominik Benchert, Severin Meßlinger, Sven Goller, Jonas Kaiser, Jan Pfister, Andreas Hotho. 1623-1638 [doi]
• NarrativeMiners at SemEval-2025 Task 10: Combating Manipulative Narratives in Online NewsMuhammad Khubaib, Muhammad Shoaib Khursheed, Muminah Khurram, Abdul-Samad, Sandesh Kumar. 1639-1644 [doi]
• Howard University-AI4PC at SemEval-2025 Task 11: Combining Expert Personas via Prompting for Enhanced Multilingual Emotion AnalysisAmir Ince, Saurav K. Aryal. 1645-1655 [doi]
• Habib University at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion DetectionOwais Waheed, Hammad Sajid, Kushal Chandani, Muhammad Areeb Kazmi, Sandesh Kumar, Abdul-Samad. 1656-1661 [doi]
• NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion DetectionGuillermo Segura-Gómez, Adrián Pastor López-Monroy, Fernando Sánchez-Vega, Alejandro Rosales-Pérez. 1662-1669 [doi]
• WC Team at SemEval-2025 Task 6: PromiseEval: Multinational, Multilingual, Multi-Industry Promise Verification leveraging monolingual and multilingual BERT modelsTakumi Nishi, Miu Nicole Takagi. 1670-1676 [doi]
• Predicting Emotion Intensity in Text Using Transformer-Based ModelsTemitope Olasunkanmi Oladepo, Oluwatobi Joseph Abiola, Tolulope O. Abiola, Abdullah, Usman Muhammad, Abiola Babatunde. 1677-1682 [doi]
• NLP_CIMAT at SemEval-2025 Task 3: Just Ask GPT or look Inside. A prompt and Neural Networks Approach to Hallucination DetectionJaime Stack-Sánchez, Miguel Alvarez-Carmona, Adrián Pastor López-Monroy. 1683-1689 [doi]
• CSIRO LT at SemEval-2025 Task 8: Answering Questions over Tabular Data using LLMsTomas Turek, Shakila Mahjabin Tonni, Vincent Nguyen, Huichen Yang, Sarvnaz Karimi. 1690-1701 [doi]
• Howard University-AI4PC at SemEval-2025 Task 8: DeepTabCoder - Code-based Retrieval and In-context Learning for Question-Answering over Tabular DataSaharsha Tiwari, Saurav Aryal. 1702-1708 [doi]
• UAlberta at SemEval-2025 Task 2: Prompting and Ensembling for Entity-Aware TranslationNing Shi, David Basil, Bradley Hauer, Noshin Nawal, Jai Riley, Daniela Teodorescu, John Zhang, Grzegorz Kondrak. 1709-1717 [doi]
• Oath Breakers at SemEval-2025 Task 06: PromiseEvalMuhammad Khubaib, Owais Aijaz, Ayesha Enayat. 1718-1723 [doi]
• Team Cantharellus at SemEval-2025 Task 3: Hallucination Span Detection with Fine Tuning on Weakly Supervised Synthetic DataXinyuan Mo, Nikolay Vorontsov, Tiankai Zang. 1724-1736 [doi]
• HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination DetectionMaryam Bala, Amina Imam Abubakar, Abdulhamid Abubakar, Abdulkadir Shehu Bichi, Hafsa Kabir Ahmad, Sani Abdullahi Sani, Idris Abdulmumin, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad. 1737-1741 [doi]
• nlptuducd at SemEval-2025 Task 10: Narrative Classification as a Retrieval Task through Story EmbeddingsArjumand Younus, Muhammad Atif Qureshi 0001. 1742-1746 [doi]
• MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMsClaudio Savelli, Evren A. Munis, Erfan Bayat, Andrea Grieco, Flavio Giobergia. 1747-1752 [doi]
• TueCL at SemEval-2025 Task 1: Image-Augmented Prompting and Multimodal Reasoning for Enhanced Idiom UnderstandingYue Yu, Jiarong Tang, Ruitong Liu. 1753-1758 [doi]
• FJWU_Squad at SemEval-2025 Task 1: An Idiom Visual Understanding Dataset for Idiom LearningMaira Khatoon, Arooj Kiyani, Tehmina Farid, Sadaf Abdul-Rauf. 1759-1765 [doi]
• CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise VerificationEeham Khan, Nawar Turk, Leila Kosseim. 1766-1771 [doi]
• Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge RemovalAayush Acharya, Saurav K. Aryal. 1772-1776 [doi]
• Howard University-AI4PC at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval-Combining Zero-Shot Claim Extraction and KNN-Based Classification for Multilingual Claim MatchingSuprabhat Rijal, Saurav K. Aryal. 1777-1782 [doi]
• McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion DetectionVivek Verma, David Ifeoluwa Adelani. 1783-1789 [doi]
• Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBODSaurav K. Aryal, Mildness Akomoize. 1790-1794 [doi]
• NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation LearningNguyen Pham Hoang Le, An Nguyen Tran Khuong, Tram Nguyen Thi Ngoc, Thin Dang Van. 1795-1801 [doi]
• Wikidata-Driven Entity-Aware Translation: Boosting LLMs with External KnowledgeLu Xu. 1802-1809 [doi]
• Swushroomsia at SemEval-2025 Task 3: Probing LLMs' Collective Intelligence for Multilingual Hallucination DetectionSandra Mitrovic, Joseph Cornelius, David Kletz, Ljiljana Dolamic, Fabio Rinaldi 0001. 1810-1827 [doi]
• TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language ModelsSishi Xiong, Mengxiang Li, Dakai Wang, Yu Zhao 0007, Jie Zhang, Changzai Pan, Haowei He, Xiangyu Li, Wenhan Chang, Zhongjiang He, Shuangyong Song, Yongxiang Li. 1828-1841 [doi]
• Howard University-AI4PC at SemEval-2025 Task 1: Using GPT-4o and CLIP-ViLT to Decode Figurative Language Across Text and ImagesSaurav Aryal, Lawal Abdulmujeeb. 1842-1848 [doi]
• CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise VerificationTashin Hossain, Abu Nowshed Chy. 1849-1858 [doi]
• Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion DetectionTafazzul Nadeem, Riyansha Singh, Suyamoon Pathak, Ashutosh Modi. 1859-1865 [doi]
• Stanford MLab at SemEval-2025 Task 11: Track B-Emotion Intensity DetectionJoseph Le, Hannah Cui, James Zhang. 1866-1869 [doi]
• Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QANikolas Evkarpidi, Elena Tutubalina. 1870-1884 [doi]
• Howard University-AI4PC at SemEval-2025 Task 2: Improving Machine Translation With Context-Aware Entity-Only Pre-translations with GPT4oSaurav K. Aryal, Jabez Agyemang-Prempeh. 1885-1889 [doi]
• Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-based Models for Emotion Detection in Multi-label Classification, Intensity Estimation, and Cross-lingual AdaptationAshraful Islam Paran, Sabik Aftahee, Md. Refaj Hossan, Jawad Hossain, Mohammed Moshiul Hoque. 1890-1904 [doi]
• YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise VerificationDehui Deng, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang. 1905-1911 [doi]
• PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard DetectionXue Wan, Fengping Su, Ling Sun, Yuyang Lin, Pengfei Chen. 1912-1918 [doi]
• Howard University-AI4PC at SemEval-2025 Task 9: Using Open-weight BART-MNLI for Zero Shot Classification of Food Recall DocumentsSaurav Aryal, Kritika Pant. 1919-1923 [doi]
• Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language ModelsEnfa Fane, Mihai Surdeanu, Eduardo Blanco 0002, Steven R. Corman. 1924-1934 [doi]
• CSCU at SemEval-2025 Task 6: Enhancing Promise Verification with Paraphrase and Synthesis Augmentation: Effects on Model PerformanceKittiphat Leesombatwathana, Wisarut Tangtemjit, Dittaya Wanvarie. 1935-1947 [doi]
• UB_Tel-U at SemEval-2025 Task 11: Emotions Without Borders - A Unified Framework for Multilingual Classification Using Augmentation and EnsembleTirana Noor Fatyanosa, Putra Pandu Adikara, Rochmanu Erfitra, Muhammad Dikna, Sari Dewi Budiwati, Cahyana Cahyana. 1948-1956 [doi]
• Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion DetectionShenpo Dong. 1957-1963 [doi]
• TartanTritons at SemEval-2025 Task 10: Multilingual Hierarchical Entity Classification and Narrative Reasoning using Instruct-Tuned LLMsRaghav R, Adarsh Prakash Vemali, Darpan Aswal, Rahul Ramesh, Parth Tusham, Pranaya Rishi. 1964-1973 [doi]
• TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular DataAakarsh Nair, Huixin Yang. 1974-1980 [doi]
• UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM OutputSicong Huang 0006, Jincheng He, Shiyuan Huang, Karthik Raja Anandan, Arkajyoti Chakraborty, Ian Lane. 1981-1992 [doi]
• YNU-HPCC at SemEval-2025 Task 10: A Two-Stage Approach to Solving Multi-Label and Multi-Class Role Classification Based on DeBERTaNing Li, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang. 1993-1999 [doi]
• Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions PredictionLev Morozov, Aleksandr Mogilevskii, Alexander Shirnin. 2000-2007 [doi]
• IUST_Champs at SemEval-2025 Task 8: Structured Prompting and Retry Policy for Tabular Question AnsweringArshia Hossein Zadeh, Aysa Mayahinia, Nafiseh Ahmadi. 2008-2013 [doi]
• HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion DetectionSani Abdullahi Sani, Salim Abubakar, Falalu Ibrahim Lawan, Abdulhamid Abubakar, Maryam Bala. 2014-2019 [doi]
• indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian LanguagesSaurabh Kumar, Sujit Kumar, Sanasam Ranbir Singh, Sukumar Nandi. 2020-2027 [doi]
• GinGer at SemEval-2025 Task 11: Leveraging Fine-Tuned Transformer Models and LoRA for Sentiment Analysis in Low-Resource LanguagesAylin Naebzadeh, Fatemeh Askari. 2028-2037 [doi]
• YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM UnlearningYang Chen, Zheyang Luo, Zhiwen Tang. 2038-2043 [doi]
• TILeN at SemEval-2025 Task 11: A Transformer-Based Model for Sentiment Classification Applied to the Russian LanguageJorge Reyes-Magaña, Luis Basto-Díaz, Luis Fernando Curi Quintal. 2044-2049 [doi]
• UCSC at SemEval-2025 Task 8: Question Answering over Tabular DataNeng Wan, Sicong Huang 0006, Esha Ubale, Ian Lane. 2050-2058 [doi]
• JU-CSE-NLP'25 at SemEval-2025 Task 4: Learning to Unlearn LLMsArkajyoti Naskar, Dipankar Das 0001, Sivaji Bandyopadhyay. 2059-2064 [doi]
• pingan-team at SemEval-2025 Task 2: LoRA-Augmented Qwen2.5 with Wikidata-Driven Entity TranslationDiyang Chen. 2065-2070 [doi]
• PoliTo at SemEval-2025 Task 1: Beyond Literal Meaning: A Chain-of-Though Approach for Multimodal Idiomacity UnderstandingLorenzo Vaiani, Davide Napolitano, Luca Cagliero. 2071-2076 [doi]
• YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss OptimizationLiu Lei, You Zhang, Jin Wang, Dan Xu, Xuejie Zhang. 2077-2083 [doi]
• JU_NLP at SemEval-2025 Task 7: Leveraging Transformer-Based Models for Multilingual & Crosslingual Fact-Checked Claim RetrievalAtanu Nayak, Srijani Debnath, Arpan Majumdar, Pritam Pal, Dipankar Das 0001. 2084-2089 [doi]
• JellyK at SemEval-2025 Task 11: Russian Multi-label Emotion Detection with Pre-trained BERT-based Language ModelsKhoa Le, Dang Thin. 2090-2095 [doi]
• FiRC-NLP at SemEval-2025 Task 3: Exploring Prompting Approaches for Detecting Hallucinations in LLMsWondimagegnhue Tufa, Fadi Hassan, Guillem Collell, Dandan Tu, Yi Tu, Sang Ni, Kuan Eeik Tan. 2096-2102 [doi]
• UCSC NLP T6 at SemEval-2025 Task 1: Leveraging LLMs and VLMs for Idiomatic UnderstandingJudith Clymo, Adam Zernik, Shubham Gaur. 2103-2115 [doi]
• JUNLP_Sarika at SemEval-2025 Task 11: Bridging Contextual Gaps in Text-Based Emotion Detection using Transformer ModelsSarika Khatun, Dipanjan Saha, Dipankar Das 0001. 2116-2120 [doi]
• PATeam at SemEval-2025 Task 10: Two-stage News Analytical Framework: Target-oriented Semantic Segmentation and Sequence Generation LLMs for Cross-Lingual Entity and Narrative AnalysisLing Sun, Xue Wan, Yuyang Lin, Fengping Su, Pengfei Chen. 2121-2132 [doi]
• YNUzwt at SemEval-2025 Task 10: Tree-guided Stagewise Classifier for Entity Framing and Narrative ClassificationQiangyu Tan, Yuhang Cui, Zhiwen Tang. 2133-2139 [doi]
• PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short TextsZiyi Huang, Xia Cui 0001. 2140-2148 [doi]
• University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion DetectionIkhlasul Akmal Hanif, Eryawan Presma Yulianrifat, Jaycent Gunawan Ongris, Eduardus Tjitrahardja, Muhammad Falensi Azmi, Rahmat Bryan Naufal, Alfan Farizki Wicaksono. 2149-2164 [doi]
• Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular DataAditya Bangar, Ankur Kumar, Shlok Mishra, Ashutosh Modi. 2165-2169 [doi]
• COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity RecognitionAldan Creo, Héctor Cerezo-Costas, Maximiliano Hormazábal-Lagos, Pedro Alonso Doval. 2170-2176 [doi]
• CDHF at SemEval-2025 Task 9: A Multi-Task Learning Approach for Food Hazard ClassificationPhuoc Chu. 2177-2182 [doi]
• UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive JudgingAmirHossein Safdarian, Milad Mohammadi, Heshaam Faili. 2183-2189 [doi]
• FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple LanguagesEvgenii Nikolaev, Ivan Bondarenko, Islam Aushev, Vasilii Krikunov, Andrei Glinskii, Vasily Konovalov, Julia Belikova. 2190-2196 [doi]
• ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular DataRaghav R, Adarsh Prakash Vemali, Darpan Aswal, Rahul Ramesh, Ayush Bhupal. 2197-2204 [doi]
• TECHSSN at SemEval-2025 Task 10: A Comparative Analysis of Transformer Models for Dominant Narrative-Based News SummarizationPooja Premnath, Venkatasai Ojus Yenumulapalli, Parthiban Mohankumar, Rajalakshmi Sivanaiah, Angel Deborah S. 2205-2212 [doi]
• MINDS at SemEval-2025 Task 9: Multi-Task Transformers for Food Hazard Coarse-Fine ClassificationFlavio Giobergia. 2213-2218 [doi]
• MINDS at SemEval-2025 Task 8: Question Answering Over Tabular Data via Large Language Model-generated SQL QueriesFlavio Giobergia. 2219-2224 [doi]
• NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-RMaham Khan, Mehwish Fatima, Hajra Naeem, Laiba Rana, Faiza Khan, Seemab Latif, Khurram Shahzad. 2225-2232 [doi]
• bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language ModelsRishit Tyagi, Rahul Bouri, Mohit Gupta. 2233-2239 [doi]
• Narrlangen at SemEval-2025 Task 10: Comparing (mostly) simple multilingual approaches to narrative classificationAndreas Blombach, Bao Minh Doan Dang, Stephanie Evert, Tamara Fuchs, Philipp Heinrich, Olena Kalashnikova, Naveed Unjum. 2240-2248 [doi]
• Aestar at SemEval-2025 Task 8: Agentic LLMs for Question Answering over Tabular DataRishit Tyagi, Mohit Gupta, Rahul Bouri. 2249-2255 [doi]
• HiTZ-Ixa at SemEval-2025 Task 1: Multimodal Idiomatic Language UnderstandingAnar Yeginbergen, Elisa Sanchez-Bayona, Andrea Jaunarena, Ander Salaberria. 2256-2261 [doi]
• KyuHyunChoi at SemEval-2025 Task 10: Narrative Extraction Using a Summarization-Specific Pretrained ModelKyu Hyun Choi, Seung-Hoon Na. 2262-2264 [doi]
• Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive LearningJuan Pérez, Santiago Lares. 2265-2269 [doi]
• AIMA at SemEval-2025 Task 1: Bridging Text and Image for Idiomatic Knowledge Extraction via Mixture of ExpertsArash Rasouli, Erfan Sadraiye, Omid Ghahroodi, Hamid R. Rabiee 0001, Ehsaneddin Asgari. 2270-2275 [doi]
• YNU-HPCC at SemEval-2025 Task 8: Enhancing Question-Answering over Tabular Data with TableGPT2Kaiwen Hu, Jin Wang, Xuejie Zhang. 2276-2282 [doi]
• QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional MethodsMariia Bogatyreva, Pascal Gaertner, Quim Ribas, Daryna Dementieva, Alexander Fraser 0002. 2283-2296 [doi]
• TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim RetrievalPrasanna Devadiga, Arya Suneesh, Pawan Rajpoot, Bharatdeep Hazarika, Aditya U. Baliga. 2297-2304 [doi]
• AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion RecognitionIago Alves Brito, Fernanda Bufon Färber, Julia Soares Dollis, Daniel Pedrozo, Artur M. A. Novais, Diogo Fernandes Costa Silva, Arlindo R. G. Filho. 2305-2310 [doi]
• Transformer25 at SemEval-2025 Task 1: A similarity-based approachWiebke Petersen, Lara Eulenpesch, Ann Piho, Julio Julio, Victoria Lohner. 2311-2317 [doi]
• HITSZ-HLT at SemEval-2025 Task 8: Multi-turn Interactive Code Generation for Question Answering on Tabular DataJun Wang 0012, Feng Xiong, Hongling Xu, Geng Tu, Ruifeng Xu 0001. 2318-2324 [doi]
• MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source AlignmentMohammad Mahdi Abootorabi, Alireza Ghahramani Kure, MohammadAli Mohammadkhani, Sina Elahimanesh, Mohammad Ali Ali Panah. 2325-2335 [doi]
• NLPART at SemEval-2025 Task 4: Forgetting is harder than LearningHoorieh Sabzevari, Milad Molazadeh Oskuee, Tohid Abedini, Ghazal Zamaninejad, Sara Baruni, Zahra Amirmahani, Amirmohammad Salehoof. 2336-2341 [doi]
• RAGthoven at SemEval 2025 - Task 2: Enhancing Entity-Aware Machine Translation with Large Language Models, Retrieval Augmented Generation and Function CallingDemetris Skottis, Gregor Karetka, Marek Suppa. 2342-2351 [doi]
• fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim RetrievalPranshu Rastogi. 2352-2357 [doi]
• AlphaPro at SemEval-2025 Task 8: A Code Generation Approach for Question-Answering over Tabular DataAnshuman Aryan, Laukik Wadhwa, Kalki Eshwar, Aakarsh Sinha, Durgesh Kumar. 2358-2367 [doi]
• SHA256 at SemEval-2025 Task 4: Selective Amnesia - Constrained Unlearning for Large Language Models via Knowledge IsolationSaransh Agrawal, Kuan-Hao Huang. 2368-2375 [doi]
• Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean PairsDaniel Lee, Harsh Sharma, Jieun Han, Sunny Jeong, Alice Oh, Vered Shwartz. 2376-2388 [doi]
• silp_nlp at SemEval-2025 Task 2: An Effect of Entity Awareness in Machine Translation Using LLMSumit Singh, Pankaj Kumar Goyal, Uma Shanker Tiwary. 2389-2394 [doi]
• clujteam at SemEval-2025 Task 10: Finetuning SmolLM2 with Taxonomy-based Prompting for Explaining the Dominant Narrative in Propaganda TexttAnca Marginean. 2395-2399 [doi]
• Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject TaggingHadi Bayrami Asl Tekanlou, Jafar Razmara, Mahsa Sanaei, Mostafa Rahgouy, Hamed Babaei Giglou. 2400-2406 [doi]
• Jim at SemEval-2025 Task 5: Multilingual BERT EnsembleJim Hahn. 2407-2412 [doi]
• LA²I²F at SemEval-2025 Task 5: Reasoning in Embedding Space - Fusing Analogical and Ontology-based Reasoning for Document Subject TaggingAndrea Salfinger, Luca Zaccagna, Francesca Incitti, Gianluca De Nardi, Lorenzo Dal Fabbro, Lauro Snidaro. 2413-2423 [doi]
• Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMsOsma Suominen, Juho Inkinen, Mona Lehtinen. 2424-2431 [doi]
• Last Minute at SemEval-2025 Task 5: RAG System for Subject TaggingZahra Sarlak, Ebrahim Ansari. 2432-2436 [doi]
• RUC Team at SemEval-2025 Task 5: Fast Automated Subject Indexing: A Method Based on Similar Records Matching and Related Subject RankingXia Tian, Yang Xin, Wu Jing, Xiu Heng, Zhang Xin, Li Yu, Gao Tong, Tan Xi, Hu Dong, Chen Tao, Jia Zhi. 2437-2442 [doi]
• YNU-HPCC at SemEval-2025 Task 5: Contrastive Learning for GND Subject Tagging with Multilingual Sentence-BERTHong Jiang, Jin Wang, Xuejie Zhang. 2443-2448 [doi]
• TartuNLP at SemEval-2025 Task 5: Subject Tagging as Two-Stage Information RetrievalAleksei Dorkin, Kairit Sirts. 2449-2454 [doi]
• silp_nlp at SemEval-2025 Task 5: Subject Recommendation With Sentence TransformerSumit Singh, Pankaj Kumar Goyal, Uma Shanker Tiwary. 2455-2460 [doi]
• SemEval-2025 Task 6: Multinational, Multilingual, Multi-Industry Promise VerificationChung-Chi Chen 0001, Yohei Seki, Hakusen Shu, Anaïs Lhuissier, Juyeon Kang, Hanwool Lee, Min-Yuh Day, Hiroya Takamura. 2461-2471 [doi]
• SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration MistakesRaúl Vázquez, Timothee Mickus, Elaine Zosa, Teemu Vahtola, Jörg Tiedemann, Aman Sinha 0002, Vincent Segonne, Fernando Sánchez-Vega, Alessandro Raganato, Jindrich Libovický, Jussi Karlgren, Shaoxiong Ji, Jindrich Helcl, Liane Guillou, Ona de Gibert, Jaione Bengoetxea, Joseph Attieh, Marianna Apidianaki. 2472-2497 [doi]
• SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim RetrievalQiwei Peng 0003, Róbert Móro, Michal Gregor, Ivan Srba, Simon Ostermann 0002, Marián Simko, Juraj Podrouzek, Matús Mesarcík, Jaroslav Kopcan, Anders Søgaard. 2498-2511 [doi]
• SemEval-2025 Task 8: Question Answering over Tabular DataJorge Osés Grijalba, Luis Alfonso Ureña López, Eugenio Martínez-Cámara, José Camacho-Collados. 2512-2522 [doi]
• SemEval-2025 Task 9: The Food Hazard Detection ChallengeKorbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren, Juli Bakagianni. 2523-2534 [doi]
• SemEval-2025 Task 2: Entity-Aware Machine TranslationSimone Conia, Min Li, Roberto Navigli, Saloni Potdar. 2535-2557 [doi]
• SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion DetectionShamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle, Terry Lima Ruas, Meriem Beloucif, Christine de Kock, Tadesse Destaw Belay, Ibrahim Said Ahmad, Nirmal Surange, Daniela Teodorescu, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Vladimir Araujo, Abinew Ali Ayele, Oana Ignat, Alexander Panchenko, Yi Zhou 0019, Saif M. Mohammad. 2558-2569 [doi]
• SemEval-2025 Task 5: LLMs4Subjects - LLM-based Automated Subject Tagging for a National Technical Library's Open-Access CatalogJennifer D'Souza 0001, Sameer Sadruddin, Holger Israel, Mathias Begoin, Diana Slawig. 2570-2583 [doi]
• SemEval-2025 Task 4: Unlearning sensitive content from Large Language ModelsAnil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang 0001, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong 0001, Rahul Gupta 0001. 2584-2596 [doi]
• SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity RepresentationThomas Pickard, Aline Villavicencio, Maggie Mi, Wei He 0017, Dylan Phelps, Marco Idiart. 2597-2609 [doi]
• SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online NewsJakub Piskorski, Tarek Mahmoud, Nikolaos Nikolaidis 0004, Ricardo Campos 0001, Alípio Mário Jorge, Dimitar Dimitrov 0003, Purificação Silvano, Roman Yangarber, Shivam Sharma, Tanmoy Chakraborty 0002, Nuno Guimarães, Elisa Sartori, Nicolas Stefanovitch, Zhuohan Xie, Preslav Nakov, Giovanni Da San Martino. 2610-2643 [doi]