Table of Contents

• CUNLP at SemEval-2024 Task 8: Classify Human and AI Generated TextPranjal Aggarwal, Deepanshu Sachdeva. 1-6 [doi]
• OZemi at SemEval-2024 Task 1: A Simplistic Approach to Textual Relatedness Evaluation Using Transformers and Machine TranslationHidetsune Takahashi, Xingru Lu, Sean Ishijima, Deokgyu Seo, Yongju Kim, Sehoon Park, Min Song, Kathylene Marante, Keitaro-luke Iso, Hirotaka Tokura, Emily Öhman. 7-12 [doi]
• L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?Hanh Thi Hong Tran, Tien-Nam Nguyen, Antoine Doucet, Senja Pollak. 13-21 [doi]
• nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion StatesNicolay Rusnachenko, Huizhi Liang. 22-27 [doi]
• StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-SolversEthan Heavey, James Alexander Hughes, Milton King. 28-33 [doi]
• hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English)Hinoki Crum, Steven Bethard. 34-39 [doi]
• T5-Medical at SemEval-2024 Task 2: Using T5 Medical Embedding for Natural Language Inference on Clinical Trial DataMarco Siino. 40-46 [doi]
• CTYUN-AI at SemEval-2024 Task 7: Boosting Numerical Understanding with Limited Data Through Effective Data AlignmentYuming Fan, Dongming Yang, Xu He. 47-52 [doi]
• McRock at SemEval-2024 Task 4: Mistral 7B for Multilingual Detection of Persuasion Techniques In MemesMarco Siino. 53-59 [doi]
• Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text ClassificationAreeg Fahad Rasheed, M. Zarkoosh. 60-63 [doi]
• Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique DetectionJiaxu Dao, Zhuoying Li, Youbang Su, Wensheng Gong. 64-69 [doi]
• Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language InferenceJiaxu Dao, Zhuoying Li, Xiuzhong Tang, Xiaoli Lan, Junde Wang. 70-75 [doi]
• NRK at SemEval-2024 Task 1: Semantic Textual Relatedness through Domain Adaptation and Ensemble Learning on BERT-based modelsKiet Nguyen Tuan, Thin Dang Van. 76-81 [doi]
• BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakesMarco Siino. 82-87 [doi]
• DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference RobustnessYuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen 0003, Suparna De. 88-94 [doi]
• SATLab at SemEval-2024 Task 1: A Fully Instance-Specific Approach for Semantic Textual Relatedness PredictionYves Bestgen. 95-100 [doi]
• Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic FeaturesAreg Mikael Sarvazyan, José-Ángel González, Marc Franco-Salvador. 101-107 [doi]
• Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With LessMattia Opper, Siddharth Narayanaswamy. 108-115 [doi]
• RGAT at SemEval-2024 Task 2: Biomedical Natural Language Inference using Graph Attention NetworkAbir Chakraborty. 116-122 [doi]
• BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External KnowledgeVictoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola, Lydia Bryan-Smith, Oyinkansola Onwuchekwa, Nina Dethlefs. 123-132 [doi]
• nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual MemesAbu Nowhash Chowdhury, Michal Ptaszynski. 133-138 [doi]
• HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration MistakesZahra Rahimi, Hamidreza Amirzadeh, Alireza Sohrabi, Zeinab Taghavi 0001, Hossein Sameti. 139-147 [doi]
• NIMZ at SemEval-2024 Task 9: Evaluating Methods in Solving Brainteasers Defying CommonsenseZahra Rahimi, Mohammad Moein Shirzady, Zeinab Taghavi 0001, Hossein Sameti. 148-154 [doi]
• Mistral at SemEval-2024 Task 5: Mistral 7B for argument reasoning in Civil ProcedureMarco Siino. 155-162 [doi]
• NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text DetectionFeng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha 0001, Huizhi Liang. 163-169 [doi]
• iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble InferencingAbbas Akkasi, Adnan Khan, Mai A. Shaaban, Majid Komeili, Mohammad Yaqub. 170-174 [doi]
• CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes - An Ensemble of Language Models with Paraphrase AugmentationKota Shamanth Ramanath Nayak, Leila Kosseim. 175-180 [doi]
• RDproj at SemEval-2024 Task 4: An Ensemble Learning Approach for Multilingual Detection of Persuasion Techniques in MemesYuhang Zhu. 181-187 [doi]
• HausaNLP at SemEval-2024 Task 1: Textual Relatedness Analysis for Semantic Representation of SentencesSaheed Abdullahi Salahudeen, Falalu Ibrahim Lawan, Aliyu Yusuf, Amina Abubakar Imam, Lukman Jibril Aliyu, Nur Bala Rabiu, Mahmoud Said Ahmad, Aliyu Rabiu Shuaibu, Alamin Musa. 188-192 [doi]
• SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal TextM. Manvith Prabhu, Haricharana Srinivasa, Anand Kumar. 193-199 [doi]
• Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPTAbdelhak Kelious, Mounir Okirim. 200-205 [doi]
• OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMsVineet Saravanan, Steven Wilson. 206-212 [doi]
• NLP-LISAC at SemEval-2024 Task 1: Transformer-based approaches for Determining Semantic Textual RelatednessAbdessamad Benlahbib, Anass Fahfouh, Hamza Alami, Achraf Boumhidi. 213-217 [doi]
• ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical ReasoningZhen Qian, Xiaofei Xu, Xiuzhen Zhang 0001. 218-223 [doi]
• BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common SenseBaktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi. 224-232 [doi]
• yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking ChallengesQi Yang, Jingjie Zeng, Liang Yang, Hongfei Lin. 233-238 [doi]
• BadRock at SemEval-2024 Task 8: DistilBERT to Detect Multigenerator, Multidomain and Multilingual Black-Box Machine-Generated TextMarco Siino. 239-245 [doi]
• WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual RelatednessFahad Ebrahim, Mike Joy. 246-252 [doi]
• NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPTThanet Markchom, Subin Jung, Huizhi Liang. 253-260 [doi]
• NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline GenerationJunzhe Zhao, Yingxi Wang, Huizhi Liang, Nicolay Rusnachenko. 261-269 [doi]
• Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data AugmentationCheolyeon Byun. 270-273 [doi]
• DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based ModelsIvan Maksimov, Vasily Konovalov, Andrei Glinskii. 274-278 [doi]
• HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT ModelsPartha Sengupta, Sandip Sarkar, Dipankar Das 0001. 279-284 [doi]
• NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in ConversationsShu Li, Zicen Liao, Huizhi Liang. 285-290 [doi]
• DeBERTa at SemEval-2024 Task 9: Using DeBERTa for Defying Common SenseMarco Siino. 291-297 [doi]
• TransMistral at SemEval-2024 Task 10: Using Mistral 7B for Emotion Discovery and Reasoning its Flip in ConversationMarco Siino. 298-304 [doi]
• 0x.Yuan at SemEval-2024 Task 2: Agents Debating can reach consensus and produce better outcomes in Medical NLI taskYu-An Lu, Hung-Yu Kao. 305-310 [doi]
• TW-NLP at SemEval-2024 Task10: Emotion Recognition and Emotion Reversal Inference in Multi-Party DialoguesWei Tian, Peiyu Ji, Lei Zhang, Yue Jian. 311-315 [doi]
• UWBA at SemEval-2024 Task 3: Dialogue Representation and Multimodal Fusion for Emotion Cause AnalysisJosef Baloun, Jirí Martínek, Ladislav Lenc, Pavel Král, Matej Zeman, Lukás Vlcek. 316-325 [doi]
• GAVx at SemEval-2024 Task 10: Emotion Flip Reasoning via Stacked Instruction Finetuning of LLMsVy Nguyen, Xiuzhen Zhang 0001. 326-336 [doi]
• NLP_STR_teamS at SemEval-2024 Task1: Semantic Textual Relatedness based on MASK Prediction and BERT ModelLianshuang Su, Xiaobing Zhou. 337-341 [doi]
• Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-modelsRahul Mehta 0008, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma. 342-348 [doi]
• QFNU_CS at SemEval-2024 Task 3: A Hybrid Pre-trained Model based Approach for Multimodal Emotion-Cause Pair Extraction TaskZining Wang, Yanchao Zhao, Guanghui Han, Yang Song. 349-353 [doi]
• NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text DetectionBao Tran, Nhi Tran. 354-360 [doi]
• Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence PredictionHidetsune Takahashi. 361-364 [doi]
• CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in HinglishAnkit Vaidya, Aditya Gokhale, Arnav Desai, Ishaan Shukla, Sheetal Sonawane. 365-369 [doi]
• Hidetsune at SemEval-2024 Task 4: An Application of Machine Learning to Multilingual Propagandistic Memes Identification Using Machine TranslationHidetsune Takahashi. 370-373 [doi]
• Hidetsune at SemEval-2024 Task 10: An English Based Approach to Emotion Recognition in Hindi-English code-mixed Conversations Using Machine Learning and Machine TranslationHidetsune Takahashi. 374-378 [doi]
• All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual RelatednessMarco Siino. 379-384 [doi]
• 0x.Yuan at SemEval-2024 Task 5: Enhancing Legal Argument Reasoning with Structured PromptsYu-An Lu, Hung-Yu Kao. 385-390 [doi]
• Groningen team D at SemEval-2024 Task 8: Exploring data generation and a combined model for fine-tuning LLMs for Multidomain Machine-Generated Text DetectionThijs Brekhof, Xuanyi Liu, Joris Ruitenbeek, Niels Top, Yuwen Zhou. 391-398 [doi]
• Kathlalu at SemEval-2024 Task 8: A Comparative Analysis of Binary Classification Methods for Distinguishing Between Human and Machine-generated TextLujia Cao, Ece Lara Kilic, Katharina Will. 399-402 [doi]
• Team Unibuc - NLP at SemEval-2024 Task 8: Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text DetectionTeodor-George Marchitan, Claudiu Creanga, Liviu P. Dinu. 403-411 [doi]
• LinguisTech at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in ConversationMihaela Alexandru, Calina Ciocoiu, Ioana Maniga, Octavian Ungureanu, Daniela Gîfu, Diana Trandabat. 412-419 [doi]
• Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression ModelsRon Keinan. 420-431 [doi]
• USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using BertAnass Fahfouh, Abdessamad Benlahbib, Jamal Riffi, Hamid Tairi. 432-436 [doi]
• CRCL at SemEval-2024 Task 2: Simple prompt optimizationsClément Brutti-Mairesse, Loïc Verlingue. 437-442 [doi]
• SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision TransformersIon Anghelina, Gabriel Buta, Alexandru Enache. 443-449 [doi]
• RFBES at SemEval-2024 Task 8: Investigating Syntactic and Semantic Features for Distinguishing AI-Generated and Human-Written TextsMohammad Heydari Rad, Farhan Farsi, Shayan Bali, Romina Etezadi, Mehrnoush Shamsfard. 450-454 [doi]
• BAMBAS at SemEval-2024 Task 4: How far can we get without looking at hierarchies?Arthur B. Vasconcelos, Luiz Felipe De Melo, Eduardo Goncalves, Eduardo Bezerra 0002, Aline Paes, Alexandre Plastino 0001. 455-462 [doi]
• Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated TextXiaoman Xu, Xiangrun Li, Taihang Wang, Jianxiang Tian, Ye Jiang. 463-470 [doi]
• YNU-HPCC at SemEval-2024 Task 9: Using Pre-trained Language Models with LoRA for Multiple-choice Answering TasksJie Wang, Jin Wang, Xuejie Zhang. 471-476 [doi]
• Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated TextJoseph Larson, Francis Tyers. 477-484 [doi]
• HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?Shubhashis Roy Dipta, Sadat Shahriar. 485-491 [doi]
• Team AT at SemEval-2024 Task 8: Machine-Generated Text Detection with Semantic EmbeddingsYuchen Wei. 492-496 [doi]
• JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and GenerationXinyi Liu, Xintong Liu, Hengyang Lu. 497-502 [doi]
• BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language ModelsTarek Mahmoud, Preslav Nakov. 503-510 [doi]
• RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated TextsRam Mohan Rao Kadiyala. 511-519 [doi]
• TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report AnalysisSpandan Das, Vinay Samuel, Shahriar Noroozizadeh. 520-529 [doi]
• ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive LearningBinjie Sun, Xiaobing Zhou. 530-535 [doi]
• Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in ConversationsShen Zhang, Haojie Zhang, Jing Zhang, Xudong Zhang, Yimeng Zhuang, Jinting Wu. 536-546 [doi]
• Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-TuningYoulin Wu, Kaichun Wang, Kai Ma, Liang Yang 0003, Hongfei Lin. 547-552 [doi]
• SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in ConversationsAntony Rajesh, Supriya Abirami, Aravindan Chandrabose, Senthil Kumar. 553-557 [doi]
• KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text DetectionMichal Spiegel, Dominik Macko. 558-564 [doi]
• Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated TextSeyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani, Arian Qazvini, Pouya Sadeghi, Zeinab Taghavi 0001, Hossein Sameti. 565-572 [doi]
• IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations?Nihed Bendahman, Karen Pinel-Sauvagnat, Gilles Hubert 0001, Mokhtar Billami. 573-578 [doi]
• CYUT at SemEval-2024 Task 7: A Numerals Augmentation and Feature Enhancement Approach to Numeral Reading ComprehensionTsz-Yeung Lau, Shih-Hung Wu. 579-585 [doi]
• UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLIMarius Micluta-Câmpeanu, Claudiu Creanga, Ana-Maria Bucur, Ana Sabina Uban, Liviu P. Dinu. 586-595 [doi]
• Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot settingKatarina Laken. 596-601 [doi]
• OtterlyObsessedWithSemantics at SemEval-2024 Task 4: Developing a Hierarchical Multi-Label Classification Head for Large Language ModelsJulia Wunderle, Julian Schubert, Antonella Cacciatore, Albin Zehe, Jan Pfister, Andreas Hotho. 602-612 [doi]
• D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language ModelsDuygu Altinok. 613-627 [doi]
• LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion DetectionShiyi Li, Yike Wang 0008, Liang Yang, ShaoWu Zhang, Hongfei Lin. 628-633 [doi]
• Innovators at SemEval-2024 Task 10: Revolutionizing Emotion Recognition and Flip Analysis in Code-Mixed TextsAbhay Shanbhag, Suramya Jadhav, Shashank Rathi, Siddhesh Pande, Dipali Kadam. 634-641 [doi]
• DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in MemesErchen Yu, Junlong Wang, Xuening Qiao, Jiewei Qi, Zhaoqing Li, Hongfei Lin, Linlin Zong, Bo Xu 0009. 642-648 [doi]
• ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversationsClaudiu Creanga, Liviu P. Dinu. 649-654 [doi]
• UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language ModelsRonghao Pan, José Antonio García-Díaz, Rafael Valencia-García. 655-666 [doi]
• MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language ModelsZebang Cheng, Fuqiang Niu, Yuxiang Lin, Zhi-Qi Cheng, Xiaojiang Peng, Bowen Zhang. 667-674 [doi]
• UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration MistakesRonghao Pan, José Antonio García-Díaz, Tomás Bernal-Beltrán, Rafael Valencia-García. 675-681 [doi]
• DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax TrainingBhuvanesh Verma, Lisa Raithel. 682-696 [doi]
• UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text DetectionRonghao Pan, José Antonio García-Díaz, Pedro José Vivancos Vicente, Rafael Valencia-García. 697-702 [doi]
• UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using TransformersRonghao Pan, José Antonio García-Díaz, Diego Roldán, Rafael Valencia-García. 703-709 [doi]
• TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed TextXiaoyan Qu, XiangFeng Meng. 710-715 [doi]
• Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference OptimizationPawan Rajpoot, Nut Chukamphaeng. 716-720 [doi]
• OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised DataZe Chen, Chengcheng Wei, Songtan Fang, Jiarong He, Max Gao. 721-729 [doi]
• SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDFRohith Arumugam S, Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, Mirnalinee Thankanadar. 730-736 [doi]
• TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLIVeronika Smilga, Hazem Alabiad. 737-744 [doi]
• FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsZuhair Hasan Shaik, Dhivya Prasanna, Enduri Jahnavi, Rishi Thippireddy, Vamsi Madhav, Sunil Saumya, Shankar Biradar. 745-756 [doi]
• YNU-HPCC at SemEval-2024 Task 5: Regularized Legal-BERT for Legal Argument Reasoning Task in Civil ProcedurePeng Shi, Jin Wang, Xuejie Zhang. 757-762 [doi]
• TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed ConversationsRavindran V, Shreejith Babu G, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah, Mirnalinee Thankanadar, Milton R. S. 763-769 [doi]
• UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in ConversationsHongyu Guo, Xueyao Zhang, Yiyang Chen, Lin Deng, Binyang Li. 770-776 [doi]
• YNU-HPCC at SemEval-2024 Task10: Pre-trained Language Model for Emotion Discovery and Reasoning its Flip in ConversationChenyi Liang, Jin Wang, Xuejie Zhang. 777-784 [doi]
• YNU-HPCC at SemEval-2024 Task 2: Applying DeBERTa-v3-large to Safe Biomedical Natural Language Inference for Clinical TrialsRengui Zhang, Jin Wang, Xuejie Zhang. 785-791 [doi]
• YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual RelatednessWeijie Li, Jin Wang, Xuejie Zhang. 792-799 [doi]
• AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual RelatednessMiaoran Zhang, Mingyang Wang, Jesujoba Alabi, Dietrich Klakow. 800-810 [doi]
• BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in ConversationDilip Venkatesh, Pasunti Prasanjith, Yashvardhan Sharma. 811-815 [doi]
• BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving BrainteasersDilip Venkatesh, Yashvardhan Sharma. 816-820 [doi]
• Bridging Numerical Reasoning and Headline Generation for Enhanced Language ModelsVaishnavi R, Srimathi T, Aarthi S, Harini V. 821-828 [doi]
• TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed TextValentin Pickard, Hoa Do. 829-832 [doi]
• TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based ModelsVenkatasai Ojus Yenumulapalli, Pooja Premnath, Parthiban Mohankumar, Rajalakshmi Sivanaiah, Angel Deborah S. 833-838 [doi]
• SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination DetectionBradley P. Allen, Fina Polat, Paul Groth. 839-844 [doi]
• I2C-Huelva at SemEval-2024 Task 8: Boosting AI-Generated Text Detection with Multimodal Models and Optimized EnsemblesAlberto Rodero Peña, Jacinto Mata Vázquez, Victoria Pachón Álvarez. 845-852 [doi]
• Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of MemesLuca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Manuela Sanguinetti, Maurizio Atzori. 853-858 [doi]
• Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based ApproachAnik Mahmud Shanto, Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury, Udoy Das, Hasan Murad. 859-864 [doi]
• BITS Pilani at SemEval-2024 Task 1: Using text-embedding-3-large and LaBSE embeddings for Semantic Textual RelatednessDilip Venkatesh, Sundaresan Raman. 865-868 [doi]
• SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination DetectionElisei Rykov, Yana Shishkina, Ksenia Petrushina, Ksenia Titova, Sergey Petrakov, Alexander Panchenko. 869-880 [doi]
• USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness TaskJianjian Li, Shengwei Liang, Yong Liao, Hongping Deng, Haiyang Yu. 881-887 [doi]
• GreyBox at SemEval-2024 Task 4: Progressive Fine-tuning (for Multilingual Detection of Propaganda Techniques)Nathan Roll, Calbert Graham. 888-893 [doi]
• NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual RelatednessSanad Malaysha, Mustafa Jarrar, Mohammed Khalilia. 894-901 [doi]
• scaLAR SemEval-2024 Task 1: Semantic Textual Relatednes for EnglishAnand Kumar, Hemanth Kumar. 902-906 [doi]
• TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer ModelsShreejith Babu G, Ravindran V, Aashika Jetti, Rajalakshmi Sivanaiah, Angel Deborah S. 907-912 [doi]
• Noot Noot at SemEval-2024 Task 7: Numerical Reasoning and Headline GenerationSankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy. 913-917 [doi]
• Fine-tuning Language Models for AI vs Human Generated Text detectionSankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy. 918-921 [doi]
• eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil ProcedureHoorieh Sabzevari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi. 922-926 [doi]
• TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection TechniquesAshok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati, Charaka Vinayak Kumar, Ajeet Kumar Singh, Srinivasa Rao Chalamala. 927-934 [doi]
• Pinealai at SemEval-2024 Task 1: Exploring Semantic Relatedness Prediction using Syntactic, TF-IDF, and Distance-Based FeaturesAlex Eponon, Luis Ramos Perez. 935-939 [doi]
• Infrrd.ai at SemEval-2024 Task 7: RAG-based end-to-end training to generate headlines and numbersJianglong He, Saiteja Tallam, Srirama Nakshathri, Navaneeth Amarnath, Pratiba Kr, Deepak Kumar. 940-951 [doi]
• AlphaIntellect at SemEval-2024 Task 6: Detection of Hallucinations in Generated TextSohan Choudhury, Priyam Saha, Subharthi Ray, Shankha S. Das, Dipankar Das. 952-958 [doi]
• YSP at SemEval-2024 Task 1: Enhancing Sentence Relatedness Assessment using Siamese NetworksYasamin Aali, Sardar Hamidian, Parsa Farinneya. 959-963 [doi]
• NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes DetectionSankalp Bahad, Yash Bhaskar, Parameswari Krishnamurthy. 964-968 [doi]
• Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTaKriti Singhal, Jatin Bedi. 969-972 [doi]
• YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and GenerationKaiYuan Chen, Jin Wang, Xuejie Zhang. 973-979 [doi]
• CAILMD-23 at SemEval-2024 Task 1: Multilingual Evaluation of Semantic Textual RelatednessSrushti Sonavane, Sharvi Endait, Ridhima Sinare, Pritika Rohera, Advait Naik, Dipali Kadam. 980-985 [doi]
• SEME at SemEval-2024 Task 2: Comparing Masked and Generative Language Models on Natural Language Inference for Clinical TrialsMathilde Aguiar, Pierre Zweigenbaum, Nona Naderi. 986-996 [doi]
• MAINDZ at SemEval-2024 Task 5: CLUEDO - Choosing Legal oUtcome by Explaining Decision through OversightIrene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Luca Cagliero, Francesco Tarasconi. 997-1005 [doi]
• Groningen Group E at SemEval-2024 Task 8: Detecting machine-generated texts through pre-trained language models augmented with explicit linguistic-stylistic featuresPatrick Darwinkel, Sijbren Van Vaals, Marieke Van Der Holt, Jarno Van Houten. 1006-1014 [doi]
• Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in MemesAdnan Khurshid, Dipankar Das. 1015-1018 [doi]
• Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness EstimationLeixin Zhang, Çagri Çöltekin. 1019-1025 [doi]
• SemEval Task 8: A Comparison of Traditional and Neural Models for Detecting Machine Authored TextSrikar Kashyap Pulipaka, Shrirang Mhalgi, Joseph Larson, Sandra Kübler. 1026-1031 [doi]
• RACAI at SemEval-2024 Task 10: Combining algorithms for code-mixed Emotion Recognition in ConversationSara Nita, Vasile Pais. 1032-1037 [doi]
• ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common SenseMohammadmostafa Rostamkhani, Shayan Mousavinia, Sauleh Eetemadi. 1038-1042 [doi]
• Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic RelationsSeyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani, Hadi Alizadeh, Zeinab Taghavi 0001, Hossein Sameti. 1043-1052 [doi]
• DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil ProcedureIoannis Maslaris, Avi Arampatzis. 1053-1057 [doi]
• MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent ModelMahmood Kalantari, Mehdi Feghhi, Taha Khany Alamooti. 1058-1063 [doi]
• DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration MistakesIoanna Iordanidou, Ioannis Maslaris, Avi Arampatzis. 1064-1070 [doi]
• MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual RelatednessJesús-Germán Ortiz-Barajas, Gemma Bel Enguix, Helena Gómez-Adorno. 1071-1079 [doi]
• DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text DetectionTheodora Kyriakou, Ioannis Maslaris, Avi Arampatzis. 1080-1086 [doi]
• Sina Alinejad at SemEval-2024 Task 7: Numeral Prediction using gpt3.5Sina Alinejad, Erfan Moosavi Monazzah. 1087-1091 [doi]
• IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in MemesMohammad Osoolian, Erfan Moosavi Monazzah, Sauleh Eetemadi. 1092-1096 [doi]
• PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause AnalysisSofiia Levchenko, Rafal Wolert, Piotr Andruszkiewicz. 1097-1105 [doi]
• IUST-NLPLAB at SemEval-2024 Task 9: BRAINTEASER By MPNet (Sentence Puzzle)Mohammad Hossein Abbaspour, Erfan Moosavi Monazzah, Sauleh Eetemadi. 1106-1109 [doi]
• iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identificationAndric Valdez, Fernando Márquez, Jorge Pantaleón, Helena Gómez, Gemma Bel Enguix. 1110-1114 [doi]
• INGEOTEC at SemEval-2024 Task 10: Bag of Words ClassifiersDaniela Moctezuma 0001, Eric Sadit Tellez, José Ortiz-Bejar, Mireya Paredes. 1115-1120 [doi]
• IIMAS at SemEval-2024 Task 9: A Comparative Approach for Brainteaser SolutionsCecilia Reyes, Orlando Ramos Flores, Diego Martínez-Maqueda. 1121-1126 [doi]
• PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in ConversationsRoman Kazakov, Kseniia Petukhova, Ekaterina Kochmar. 1127-1134 [doi]
• SCaLAR at SemEval-2024 Task 8: Unmasking the machine : Exploring the power of RoBERTa Ensemble for Detecting Machine Generated TextAnand Kumar, Abhin B, Sidhaarth Murali. 1135-1139 [doi]
• PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?Kseniia Petukhova, Roman Kazakov, Ekaterina Kochmar. 1140-1147 [doi]
• SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucinationPouya Fallah, Soroush Gooran, Mohammad Jafarinasab, Pouya Sadeghi, Reza Farnia, Amirreza Tarabkhah, Zeinab Sadat Taghavi, Hossein Sameti. 1148-1154 [doi]
• INGEOTEC at SemEval-2024 Task 1: Bag of Words and TransformersDaniela Moctezuma 0001, Eric Sadit Téllez, Mario Graff. 1155-1159 [doi]
• OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM textsOctavian Brodoceanu. 1160-1165 [doi]
• FI Group at SemEval-2024 Task 8: A Syntactically Motivated Architecture for Multilingual Machine-Generated Text DetectionMaha Ben-Fares, Urchade Zaratiana, Simon David Hernandez, Pierre Holat. 1166-1171 [doi]
• Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text DetectionSurbhi Sharma, Irfan Mansuri. 1172-1176 [doi]
• EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion TechniquesYouri Peskine, Raphaël Troncy, Paolo Papotti. 1177-1182 [doi]
• TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination DetectionVarvara Arzt, Mohammad Mahdi Azarbeik, Ilya Lasy, Tilman Kerl, Gábor Recski. 1183-1196 [doi]
• silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual LearningSumit Singh, Pankaj Goyal, Uma Shanker Tiwary. 1197-1203 [doi]
• LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling TaskSuyash Vardhan Mathur, Akshett Rai Jindal, Hardik Mittal, Manish Shrivastava 0001. 1204-1211 [doi]
• DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional ReasoningSuyash Vardhan Mathur, Akshett Rai Jindal, Manish Shrivastava 0001. 1212-1216 [doi]
• MorphingMinds at SemEval-2024 Task 10: Emotion Recognition in Conversation in Hindi-English Code-Mixed ConversationsMonika Vyas. 1217-1221 [doi]
• SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual RelatednessMd. Sajjad Hossain, Ashraful Islam Paran, Symom Hossain Shohan, Jawad Hossain, Mohammed Moshiul Hoque. 1222-1228 [doi]
• IASBS at SemEval-2024 Task 10: Delving into Emotion Discovery and Reasoning in Code-Mixed ConversationsMehrzad Tareh, Aydin Mohandesi, Ebrahim Ansari. 1229-1238 [doi]
• Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense ReasoningTrina Chakraborty, Marufur Rahman, Omar Riyad. 1239-1244 [doi]
• FtG-CoT at SemEval-2024 Task 9: Solving Sentence Puzzles Using Fine-Tuned Language Models and Zero-Shot CoT PromptingMicah Zhang, Shafiuddin Rehan Ahmed, James H. Martin. 1245-1251 [doi]
• LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based ParsingAna Ezquerro, David Vilares 0001. 1252-1259 [doi]
• NumDecoders at SemEval-2024 Task 7: FlanT5 and GPT enhanced with CoT for Numerical ReasoningAndres Gonzalez, Md Zobaer Hossain, Jahedul Alam Junaed. 1260-1268 [doi]
• FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in Biomedical DomainJin Liu, Steffen Thoma. 1269-1279 [doi]
• Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data AugmentationArtur Guimarães, Bruno Martins, João Magalhães. 1280-1287 [doi]
• GIL-IIMAS UNAM at SemEval-2024 Task 1: SAND: An In Depth Analysis of Semantic Relatedness Using Regression and Similarity CharacteristicsFrancisco Lopez-Ponce, Ángel Cadena, Karla Salas-Jimenez, Gemma Bel Enguix, David Preciado-Márquez. 1288-1292 [doi]
• Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4Daniel Schumacher, Anthony Rios. 1293-1301 [doi]
• BD-NLP at SemEval-2024 Task 2: Investigating Generative and Discriminative Models for Clinical Inference with Knowledge AugmentationShantanu Nath, Ahnaf Mozib Samin. 1302-1308 [doi]
• NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QAAnish Pahilajani, Samyak Rajesh Jain, Devasha Trivedi. 1309-1314 [doi]
• CoT-based Data Augmentation Strategy for Persuasion Techniques DetectionDailin Li, Chuhan Wang, Xin Zou, Junlong Wang, Peng Chen, Jian Wang, Liang Yang, Hongfei Lin. 1315-1321 [doi]
• HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination RecognitionTimothy Obiso, Jingxuan Tu, James Pustejovsky. 1322-1331 [doi]
• VerbaNexAI Lab at SemEval-2024 Task 10: Emotion recognition and reasoning in mixed-coded conversations based on an NRC VAD approachSantiago Garcia, Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martínez Santos, Edwin Puertas. 1332-1338 [doi]
• VerbaNexAI Lab at SemEval-2024 Task 3: Deciphering emotional causality in conversations using multimodal analysis approachVictor Pacheco, Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martínez Santos, Edwin Puertas. 1339-1343 [doi]
• VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship DetectionAnderson Morillo, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas. 1344-1350 [doi]
• UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translationShubhashis Roy Dipta, Sai Vallurupalli. 1351-1357 [doi]
• MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought PromptsMd. Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran, Sadiya Sayara Chowdhury Puspo, Amrita Ganguly, Marcos Zampieri. 1358-1363 [doi]
• MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text DetectionSadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Dhiman Goswami, Al Nahian Bin Emran, Amrita Ganguly, Özlem Uzuner. 1364-1372 [doi]
• UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair ExtractionSharad Chandakacherla, Vaibhav Bhargava, Natalie Parde. 1373-1379 [doi]
• MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual RelatednessDhiman Goswami, Sadiya Sayara Chowdhury Puspo, Md. Nishat Raihan, Al Nahian Bin Emran, Amrita Ganguly, Marcos Zampieri. 1380-1390 [doi]
• RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot ApproachesKejsi Take, Chau Tran. 1391-1396 [doi]
• IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical TrialsShreyasi Mandal, Ashutosh Modi. 1397-1404 [doi]
• PEAR at SemEval-2024 Task 1: Pair Encoding with Augmented Re-sampling for Semantic Textual RelatednessTollef Jørgensen. 1405-1411 [doi]
• BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in MemesAmirhossein Abaskohi, AmirHossein Dabiri Aghdam, Lele Wang, Giuseppe Carenini. 1412-1423 [doi]
• Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in MemesMatt Pauk, Maria Leonor Pacheco. 1424-1434 [doi]
• Saama Technologies at SemEval-2024 Task 2: Three-module System for NLI4CT Enhanced by LLM-generated Intermediate LabelsHwanmun Kim, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu. 1435 [doi]
• AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying ReasoningSoumya Smruti Mishra, Mina Ghashami. 1436-1442 [doi]
• IITK at SemEval-2024 Task 1: Contrastive Learning and Autoencoders for Semantic Textual Relatedness in Multilingual TextsUdvas Basak, Rajarshi Dutta, Shivam Pandey, Ashutosh Modi. 1443-1448 [doi]
• Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect HallucinationSouvik Das, Rohini K. Srihari. 1449-1454 [doi]
• NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical TrialsLung-Hao Lee, Chen-ya Chiou, Tzu-Mi Lin. 1455-1462 [doi]
• Team MLab at SemEval-2024 Task 8: Analyzing Encoder Embeddings for Detecting LLM-generated TextKevin Li, Kenan Hasanaliyev, Sally Zhu, George Altshuler, Alden Eberts, Eric Chen, Kate Wang, Emily Xia, Eli Browne, Ian Chen. 1463-1467 [doi]
• Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language ModelsVishruth Veerendranath, Vishwa Shah, Kshitish Ghate. 1468-1475 [doi]
• AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated TextRenhua Gu, XiangFeng Meng. 1476-1481 [doi]
• SemEval-2024 Task 7: Numeral-Aware Language Understanding and GenerationChung-Chi Chen 0001, Jiantao Huang, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen. 1482-1491 [doi]
• UCSC NLP at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)Neng Wan, Steven Au, Esha Ubale, Decker Krogh. 1492-1497 [doi]
• CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text ClassificationMohammadHossein Rezaei, Yeaeun Kwon, Reza Sanayei, Abhyuday Singh, Steven Bethard. 1498-1504 [doi]
• SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written TextAlberto José Gutiérrez-Megías, Luis Alfonso Ureña López, Eugenio Martínez-Cámara. 1505-1510 [doi]
• USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM EmbeddingsZikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang 0002, Yongdong Zhang 0001, Zhendong Mao. 1511-1522 [doi]
• ALF at SemEval-2024 Task 9: Exploring Lateral Thinking Capabilities of LMs through Multi-task Fine-tuningSeyed Ali Farokh, Hossein Zeinali. 1523-1528 [doi]
• Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes BackKonstantin Kobs, Jan Pfister, Andreas Hotho. 1529-1536 [doi]
• whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated TextsNishan Chatterjee, Marko Pranjic, Boshko Koloski, Lidia Pivovarova, Senja Pollak. 1537-1543 [doi]
• LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2bGleb Skiba, Mikhail Pukemo, Dmitry Melikhov, Konstantin Vorontsov. 1544-1548 [doi]
• AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysisNatalia Grigoriadou, Maria Lymperaiou, George Filandrianos, Giorgos Stamou. 1549-1560 [doi]
• JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama modelsArefa, Mohammed Abbas Ansari, Chandni Saxena, Tanvir Ahmad. 1561-1576 [doi]
• LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLIZihang Sun, Danqi Yan, Anyi Wang, Tanalp Agustoslu, Qi Feng, Chengzhi Hu, Longfei Zuo, Shijia Zhou, Hermine Kleiner, Pingjun Hong. 1577-1583 [doi]
• MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarityReza Sanayei, Abhyuday Singh, MohammadHossein Rezaei, Steven Bethard. 1584-1588 [doi]
• NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in ConversationsMeng Luo, Han Zhang, Shengqiong Wu, Bobo Li, Hong Han, Hao Fei 0001. 1589-1596 [doi]
• TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detectionDaniel Stuhlinger, Aron Winkler. 1597-1601 [doi]
• GeminiPro at SemEval-2024 Task 9: BrainTeaser on GeminiKyu Hyun Choi, Seung-Hoon Na. 1602-1606 [doi]
• Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil ProcedureOdysseas S. Chlapanis, Ion Androutsopoulos, Dimitrios Galanis. 1607-1622 [doi]
• Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text DetectionAyan Datta, Aryan Chandramania, Radhika Mamidi. 1623-1626 [doi]
• Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated TextJainit Sushil Bafna, Hardik Mittal, Suyash Sethia, Manish Shrivastava 0001, Radhika Mamidi. 1627-1633 [doi]
• HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR)Mengyao Piao, Chang Su 0001, Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Yinglu Li, Min Zhang 0005, Hao Yang 0006. 1634-1638 [doi]
• KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral ReasoningWeiqi Wang 0001, Baixuan Xu, Haochen Shi, Jiaxin Bai, Qi Hu, Yangqiu Song. 1639-1645 [doi]
• HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMsYinglu Li, Yanqing Zhao, Min Zhang, Yadong Deng, Aiju Geng, Xiaoqin Liu, Mengxin Ren, Yuang Li, Chang Su 0001, Xiaofeng Zhao. 1646-1651 [doi]
• SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument ReasoningKristiyan Krumov, Svetla Boytcheva, Ivan Koytchev. 1652-1658 [doi]
• Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language GenerationAli Zhunis, Hao-yun Chuang. 1659-1662 [doi]
• Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you needBéla Rösener, Hong-Bo Wei, Ilinca Vandici. 1663-1666 [doi]
• AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4Alexander Shirnin, Nikita Andreev, Vladislav Mikhailov, Ekaterina Artemova. 1667-1672 [doi]
• CLaC at SemEval-2024 Task 2: Faithful Clinical Trial InferenceJennifer Marks, MohammadReza Davari, Leila Kosseim. 1673-1677 [doi]
• MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination DetectionFederico Borra, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, Flavio Giobergia. 1678-1684 [doi]
• Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination DetectionPatanjali Bhamidipati, Advaith Malladi, Manish Shrivastava 0001, Radhika Mamidi. 1685-1689 [doi]
• Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-DetectionVittorio Ciccarelli, Cornelia Genz, Nele Mastracchio, Wiebke Petersen, Anna Stein, Hanxin Xia. 1690-1697 [doi]
• AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair AnalysisAlireza Ghahramani Kure, Mahshid Dehghani, Mohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili, Ehsaneddin Asgari. 1698-1703 [doi]
• AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed ConversationsMohammad Mahdi Abootorabi, Nona Ghazizadeh, Seyed Arshan Dalili, Alireza Ghahramani Kure, Mahshid Dehghani, Ehsaneddin Asgari. 1704-1710 [doi]
• Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated TextHuixin Chen, Jan Büssing, David Rügamer, Ercong Nie. 1711-1718 [doi]
• ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline GenerationMonika Singh, Sujit Kumar, Tanveen, Sanasam Ranbir Singh. 1719-1726 [doi]
• HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text ClassifierOmid Ghahroodi, Ehsaneddin Asgari. 1727-1732 [doi]
• AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking PuzzlesIoannis Panagiotopoulos, George Filandrianos, Maria Lymperaiou, Giorgos Stamou. 1733-1746 [doi]
• DeepPavlov at SemEval-2024 Task 3: Multimodal Large Language Models in Emotion ReasoningJulia Belikova, Dmitrii Kosenko. 1747-1757 [doi]
• iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain TeasersHarshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma. 1758-1766 [doi]
• uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?Pouya Sadeghi, Amirhossein Abaskohi, Yadollah Yaghoobzadeh. 1767-1778 [doi]
• IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in MemesShreenaga Chikoti, Shrey Mehta, Ashutosh Modi. 1779-1787 [doi]
• HIT-MI&T Lab at SemEval-2024 Task 6: DeBERTa-based Entailment Model is a Reliable Hallucination DetectorWei Liu, Wanyao Shi, Zijian Zhang, Hui Huang. 1788-1797 [doi]
• UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and SimilarityNing Shi, Senyu Li, Guoqing Luo, Amirreza Mirzaei, Ali Rafiei, Jai Riley, Hadi Sheikhi, Mahvash Siavashpour, Mohammad Tavakoli, Bradley Hauer, Grzegorz Kondrak. 1798-1805 [doi]
• HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning TaskXiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou, Min Zhang 0005, Chang Su 0001, Mengyao Piao, Yuang Li, Yinglu Li, Ming Zhu, Yilun Liu 0001. 1806-1810 [doi]
• IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker EmbeddingsShubham Patel, Divyaksh Shukla, Ashutosh Modi. 1811-1820 [doi]
• DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated TextsAnastasia Voznyuk, Vasily Konovalov. 1821-1829 [doi]
• Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative UnderstandingXinyue Liang, Jiawei Li, Yizhe Yang, Yang Gao. 1830-1841 [doi]
• MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual RelatednessShijia Zhou, Huangyan Shan, Barbara Plank, Robert Litschko. 1842-1853 [doi]
• NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource LanguagesSenthil Kumar, Aravindan Chandrabose, Gokulakrishnan B, Karthikraja TP. 1854-1859 [doi]
• ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label ClassificationMeredith Gibbons, Maggie Mi, Xingyi Song, Aline Villavicencio. 1860-1867 [doi]
• NLPNCHU at SemEval-2024 Task 4: A Comparison of MDHC Strategy and In-domain Pre-training for Multilingual Detection of Persuasion Techniques in MemesShih-Wei Guo, Yao-Chung Fan. 1868-1875 [doi]
• Mothman at SemEval-2024 Task 9: An Iterative System for Chain-of-Thought Prompt OptimizationAlvin Po-Chun Chen, Ray Groshan, Sean von Bayern. 1876-1888 [doi]
• Zero Shot is All You Need at SemEval-2024 Task 9: A study of State of the Art LLMs on Lateral Thinking PuzzlesErfan Moosavi Monazzah, Mahdi Feghhi. 1889-1893 [doi]
• Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4Aryo Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex. 1894-1904 [doi]
• CaresAI at SemEval-2024 Task 2: Improving Natural Language Inference in Clinical Trial Data using Model Ensemble and Data ExplanationReem Abdel-Salam, Mary Adewunmi, Mercy Akinwale. 1905-1911 [doi]
• CVcoders on Semeval-2024 Task 4Fatemezahra Bakhshande, Mahdieh Naderi. 1912-1918 [doi]
• Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning ModelsRina Donker, Björn Overbeek, Dennis Thulden, Oscar Zwagers. 1919-1925 [doi]
• Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic FeaturesHuseyin Alecakir, Puja Chakraborty, Pontus Henningsson, Matthijs Van Hofslot, Alon Scheuer. 1926-1932 [doi]
• SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty 0002. 1933-1946 [doi]
• SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical TrialsMaël Jullien, Marco Valentino, André Freitas. 1947-1962 [doi]
• SemEval Task 1: Semantic Textual Relatedness for African and Asian LanguagesNedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Meriem Beloucif, Christine de Kock, Oumaima Hourrane, Manish Shrivastava 0001, Thamar Solorio, Nirmal Surange, Krishnapriya Vishnubhotla, Seid Muhie Yimam, Saif M. Mohammad. 1963-1978 [doi]
• SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration MistakesTimothee Mickus, Elaine Zosa, Raúl Vázquez, Teemu Vahtola, Jörg Tiedemann, Vincent Segonne, Alessandro Raganato, Marianna Apidianaki. 1979-1993 [doi]
• SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common SenseYifan Jiang 0001, Filip Ilievski, Kaixin Ma. 1994-2008 [doi]
• SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in MemesDimitar Dimitrov, Firoj Alam, Maram Hasanain, Abul Hasnat 0001, Fabrizio Silvestri, Preslav Nakov, Giovanni Da San Martino. 2009-2026 [doi]
• SemEval-2024 Task 5: Argument Reasoning in Civil ProcedureLena Held, Ivan Habernal. 2027-2038 [doi]
• SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in ConversationsFanfan Wang, Heqing Ma, Rui Xia, Jianfei Yu, Erik Cambria. 2039-2050 [doi]
• SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in MemesCharlie Grimshaw, Kalina Bontcheva, Xingyi Song. 2051-2056 [doi]
• SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text DetectionYuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti 0002, Thomas Arnold 0002. 2057-2079 [doi]