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2025

Special Issue on Responsible Recommender Systems Part 2Lina Yao 0001, Julian J. McAuley, Xianzhi Wang 0001, Dietmar Jannach. tist, 16(1), February 2025. [doi]

Tutorial on Recommendation with Generative Models (Gen-RecSys)Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano. wsdm 2025: 1002-1004 [doi]

Reindex-Then-Adapt: Improving Large Language Models for Conversational RecommendationZhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley. wsdm 2025: 866-875 [doi]

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language ModelsChengkai Huang, Yu Xia, Rui Wang 0088, Kaige Xie, Tong Yu 0001, Julian J. McAuley, Lina Yao 0001. COLING 2025: 1403-1412 [doi]

Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with RationalesShuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley. tors, 3(1), March 2025. [doi]

Your Causal Self-Attentive Recommender Hosts a Lonely NeighborhoodYueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang 0002. wsdm 2025: 688-696 [doi]

Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based RecommendationSiyu Wang, Xiaocong Chen, Julian J. McAuley, Sally Cripps, Lina Yao 0001. tnn, 36(1):1044-1055, January 2025. [doi]

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsYu Xia, Rui Wang 0088, Xu Liu, Mingyan Li, Tong Yu 0001, Xiang Chen, Julian J. McAuley, Shuai Li 0010. COLING 2025: 10795-10809 [doi]

2024

Special Issue on Responsible Recommender Systems Part 1Lina Yao 0001, Julian J. McAuley, Xianzhi Wang 0001, Dietmar Jannach. tist, 15(4), August 2024. [doi]

RepoBench: Benchmarking Repository-Level Code Auto-Completion SystemsTianyang Liu 0003, Canwen Xu, Julian J. McAuley. iclr 2024: [doi]

Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot LearningZhe Liu 0023, Yun Li, Lina Yao 0001, Julian J. McAuley, Sam Dixon. tnn, 35(1):657-669, January 2024. [doi]

Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trendsVito Walter Anelli, Li Chen, Gerard de Melo, Julian J. McAuley, Fedelucio Narducci, Azzurra Ragone. umuai, 34(5):1529-1533, November 2024. [doi]

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender SystemsXiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao 0001. tois, 42(6), November 2024. [doi]

International Workshop on Online and Adaptive Recommender Systems (OARS 2024)Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye 0001, Stephen D. Guo, Chip Huyen. CIKM 2024: 5580-5583 [doi]

The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang 0007, Enrico Palumbo. recsys 2024: 1250-1252 [doi]

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano. kdd 2024: 6448-6458 [doi]

A Review of Modern Fashion Recommender SystemsYashar Deldjoo, Fatemeh Nazary, Arnau Ramisa, Julian J. McAuley, Giovanni Pellegrini, Alejandro Bellogín, Tommaso Di Noia. ACM Comput. Surv., 56(4), April 2024. [doi]

MAWI Rec: Leveraging Severe Weather Data in RecommendationBrendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley. recsys 2024: 850-854 [doi]

Avoiding Decision Fatigue with AI-Assisted Decision-MakingJessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley. um 2024: 1-11 [doi]

Cognitive Bias in Decision-Making with LLMsJessica Maria Echterhoff, Yao Liu 0017, Abeer Alessa, Julian J. McAuley, Zexue He. emnlp 2024: 12640-12653 [doi]

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated DrivingJessica Maria Echterhoff, An Yan 0003, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley. wacv 2024: 7331-7340 [doi]

Large Language Models are Zero-Shot Rankers for Recommender SystemsYupeng Hou, Junjie Zhang 0009, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao. ecir 2024: 364-381 [doi]

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential RecommendationHyunsik Jeon, Se-eun Yoon, Julian J. McAuley. CIKM 2024: 973-982 [doi]

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information MinimizationJiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang 0001, Yong Yu 0001, Jun Wang 0012, Julian J. McAuley. WWW 2024: 1350-1361 [doi]

Extending Input Contexts of Language Models through Training on Segmented SequencesPetros Karypis, Julian J. McAuley, George Karypis. naacl 2024: 3040-3052 [doi]

Multi-Behavior Generative RecommendationZihan Liu, Yupeng Hou, Julian J. McAuley. CIKM 2024: 1575-1585 [doi]

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-DecodingGuangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu 0001, Liping Tang, Yuan Gao, Zhen Li 0026, Shuguang Cui, Julian J. McAuley, Zichao Yang, Eric P. Xing, Zhiting Hu. icml 2024: [doi]

SelfVC: Voice Conversion With Iterative Refinement using Self TransformationsPaarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley. icml 2024: [doi]

FaceSigns: Semi-fragile Watermarks for Media AuthenticationPaarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang 0001, Julian J. McAuley, Farinaz Koushanfar. tomccap, 20(11), November 2024. [doi]

DITTO: Diffusion Inference-Time T-Optimization for Music GenerationZachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan. icml 2024: [doi]

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music GenerationZachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan. ismir 2024: 874-881 [doi]

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-TuningSejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar. tkdd, 18(9), November 2024. [doi]

Off-Policy Evaluation for Large Action Spaces via Policy ConvolutionNoveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley. WWW 2024: 3576-3585 [doi]

Mitigating Hallucination in Fictional Character Role-PlayNafis Sadeq, Zhouhang Xie, Byungkyu Kang, Prarit Lamba, Xiang Gao, Julian J. McAuley. emnlp 2024: 14467-14479 [doi]

Linear Layer Extrapolation for Fine-Grained Emotion ClassificationMayukh Sharma, Sean O'Brien, Julian J. McAuley. emnlp 2024: 20880-20888 [doi]

First Workshop on Generative AI for Recommender Systems and PersonalizationNarges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis. kdd 2024: 6737-6738 [doi]

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal RecommendationYueqi Wang, Zhenrui Yue, Huimin Zeng 0001, Dong Wang 0002, Julian J. McAuley. emnlp 2024: 13461-13472 [doi]

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference AlignmentJianing Wang, Junda Wu, Yupeng Hou, Yao Liu 0017, Ming Gao 0001, Julian J. McAuley. acl 2014: 13492-13510 [doi]

MEMORYLLM: Towards Self-Updatable Large Language ModelsYu Wang, YiFan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley. icml 2024: [doi]

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and ExplanationYu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley. AAAI 2024: 9133-9141 [doi]

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail RecommendationJunda Wu, Cheng-Chun Chang, Tong Yu 0001, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley. kdd 2024: 3391-3401 [doi]

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal InterventionJunda Wu, Tong Yu 0001, Xiang Chen, Haoliang Wang, Ryan A. Rossi, SungChul Kim, Anup B. Rao, Julian J. McAuley. acl 2024: 14073-14087 [doi]

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional FeedbackYu Xia, Tong Yu 0001, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li 0010. naacl 2014: 4684-4695 [doi]

Neighborhood-Based Collaborative Filtering for Conversational RecommendationZhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley. recsys 2024: 1045-1050 [doi]

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive ReasoningZhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley. acl 2014: 13207-13219 [doi]

Small Models are Valuable Plug-ins for Large Language ModelsCanwen Xu, Yichong Xu, Shuohang Wang, Yang Liu 0124, Chenguang Zhu 0001, Julian J. McAuley. acl 2014: 283-294 [doi]

Automatic Pair Construction for Contrastive Post-trainingCanwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah 0001, Nikhil Rao 0001. naacl 2024: 149-162 [doi]

Evaluating Large Language Models as Generative User Simulators for Conversational RecommendationSe-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley. naacl 2014: 1490-1504 [doi]

Forecasting Live Chat Intent from Browsing HistorySe-eun Yoon, Ahmad Bin Rabiah, Zaid Alibadi, Surya Kallumadi, Julian J. McAuley. CIKM 2024: 4223-4227 [doi]

Transferable Sequential Recommendation via Vector Quantized Meta LearningZhenrui Yue, Huimin Zeng 0001, Yang Zhang 0031, Julian J. McAuley, Dong Wang 0002. bigdataconf 2024: 487-492 [doi]

Linear Recurrent Units for Sequential RecommendationZhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang. wsdm 2024: 930-938 [doi]

Fair Sequential Recommendation without User DemographicsHuimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang. sigir 2024: 395-404 [doi]

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User InterfaceZeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He. AAAI 2024: 23856-23858 [doi]

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender SystemsJunjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen. WWW 2024: 3679-3689 [doi]

2023

Learning Concise and Descriptive Attributes for Visual RecognitionAn Yan 0003, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley. iccv 2023: 3067-3077 [doi]

Generative Flow Network for Listwise RecommendationShuchang Liu 0006, Qingpeng Cai 0001, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang 0002, Kun Gai. kdd 2023: 1524-1534 [doi]

Assistive Recipe Editing through CritiquingDiego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley. eacl 2023: 375-384 [doi]

Deep reinforcement learning in recommender systems: A survey and new perspectivesXiaocong Chen, Lina Yao 0001, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang 0001. kbs, 264:110335, March 2023. [doi]

3rd Workshop on Online and Adaptive Recommender Systems (OARS)Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye 0001, Stephen D. Guo, Chip Huyen. kdd 2023: 5855-5856 [doi]

Improving Robustness of Convolutional Networks Through Sleep-Like ReplayJean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov. icmla 2023: 257-264 [doi]

Multitrack Music TransformerHao-Wen Dong, Ke Chen 0021, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick. icassp 2023: 1-5 [doi]

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled VideosHao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick. iclr 2023: [doi]

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision ModelsHao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley. waspaa 2023: 1-5 [doi]

Jointly modeling products and resource pages for task-oriented recommendationBrendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley. WWW 2023: 432-436 [doi]

LongCoder: A Long-Range Pre-trained Language Model for Code CompletionDaya Guo, Canwen Xu, Nan Duan, Jian Yin 0001, Julian J. McAuley. icml 2023: 12098-12107 [doi]

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge InfusionZexue He, an Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu. AAAI 2023: 14232-14240 [doi]

Synthetic Pre-Training Tasks for Neural Machine TranslationZexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris. acl 2023: 8080-8098 [doi]

Large Language Models as Zero-Shot Conversational RecommendersZhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley. CIKM 2023: 720-730 [doi]

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model EvaluationZexue He, Yu Wang, An Yan 0003, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu. emnlp 2023: 8725-8744 [doi]

Learning Vector-Quantized Item Representation for Transferable Sequential RecommendersYupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao. WWW 2023: 1162-1171 [doi]

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language ExplanationsMyeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu. acl 2023: 540-553 [doi]

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationJiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley. kdd 2023: 1248-1257 [doi]

Text Is All You Need: Learning Language Representations for Sequential RecommendationJiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley. kdd 2023: 1258-1267 [doi]

Exploiting Explicit and Implicit Item relationships for Session-based RecommendationZihao Li, Xianzhi Wang 0001, Chao Yang, Lina Yao 0001, Julian J. McAuley, Guandong Xu. wsdm 2023: 553-561 [doi]

Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot LearningYun Li, Zhe Liu 0023, Xiaojun Chang, Julian J. McAuley, Lina Yao 0001. tmm, 25:8372-8382, 2023. [doi]

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable PredictionsBodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley. emnlp 2023: 9466-9471 [doi]

CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsZachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg. icml 2023: 26342-26362 [doi]

Data Distillation: A SurveyNoveen Sachdeva, Julian J. McAuley. tmlr, 2023, 2023. [doi]

Unsupervised Improvement of Factual Knowledge in Language ModelsNafis Sadeq, Byungkyu Kang, Prarit Lamba, Julian J. McAuley. eacl 2023: 2952-2961 [doi]

Spoiler Detection as Semantic Text MatchingRyan Tran, Canwen Xu, Julian J. McAuley. emnlp 2023: 6109-6113 [doi]

Factual and Informative Review Generation for Explainable RecommendationZhouhang Xie, Sameer Singh 0001, Julian J. McAuley, Bodhisattwa Prasad Majumder. AAAI 2023: 13816-13824 [doi]

A Survey on Dynamic Neural Networks for Natural Language ProcessingCanwen Xu, Julian J. McAuley. eacl 2023: 2325-2336 [doi]

A Survey on Model Compression and Acceleration for Pretrained Language ModelsCanwen Xu, Julian J. McAuley. AAAI 2023: 10566-10575 [doi]

Equipping Pretrained Unconditional Music Transformers with Instrument and Genre ControlsWeihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong. bigdataconf 2023: 4512-4517 [doi]

Mirror: A Natural Language Interface for Data Querying, Summarization, and VisualizationCanwen Xu, Julian J. McAuley, Penghan Wang. WWW 2023: 49-52 [doi]

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat DataCanwen Xu, Daya Guo, Nan Duan, Julian J. McAuley. emnlp 2023: 6268-6278 [doi]

2022

Improving Choral Music Separation through Expressive Synthesized Data from Sampled InstrumentsKe Chen 0021, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov. ismir 2022: 726-732 [doi]

Deep Performer: Score-to-Audio Music Performance SynthesisHao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley. icassp 2022: 951-955 [doi]

Query-Aware Sequential RecommendationZhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley. CIKM 2022: 4019-4023 [doi]

Bundle MCR: Towards Conversational Bundle RecommendationZhankui He, Handong Zhao, Tong Yu 0001, SungChul Kim, Fan Du, Julian J. McAuley. recsys 2022: 288-298 [doi]

Instilling Type Knowledge in Language Models via Multi-Task QAShuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley. naacl 2022: 594-603 [doi]

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge InjectionBodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley. acl 2022: 3140-3153 [doi]

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language ExplanationsBodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley. icml 2022: 14786-14801 [doi]

Rank List Sensitivity of Recommender Systems to Interaction PerturbationsSejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar. CIKM 2022: 1584-1594 [doi]

GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise ControlNoveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley. itsc 2022: 2528-2535 [doi]

Infinite Recommendation Networks: A Data-Centric ApproachNoveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley. nips 2022: [doi]

On Sampling Collaborative Filtering DatasetsNoveen Sachdeva, Carole-Jean Wu, Julian J. McAuley. wsdm 2022: 842-850 [doi]

InforMask: Unsupervised Informative Masking for Language Model PretrainingNafis Sadeq, Canwen Xu, Julian J. McAuley. emnlp 2022: 5866-5878 [doi]

Leashing the Inner Demons: Self-Detoxification for Language ModelsCanwen Xu, Zexue He, Zhankui He, Julian J. McAuley. AAAI 2022: 11530-11537 [doi]

Efficiently Tuned Parameters Are Task EmbeddingsWangchunshu Zhou, Canwen Xu, Julian J. McAuley. emnlp 2022: 5007-5014 [doi]

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