PPaperPicks

Julian J. McAuley

University of California, San Diego, Department of Computer Science and Engineering, CA, USA

92 papers at tracked venues · 53 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Junda Wu
×23
Tong Yu
×19
Zhankui He
×15
Yupeng Hou
×11
Lina Yao
×11
Yu Xia
×9
Ryan A. Rossi
×8
Zhouhang Xie
×8
Yu Wang
×8
Sungchul Kim
×7
Xintong Li
×6
Jingbo Shang
×6

Papers

  1. Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
    ACL 2026 ·
    Yupeng Hou
    ,
    Jiacheng Li
    ,
    Xiangjun Fu
    ,
    Zhankui He
    ,
    An Yan
    ,
    Xiusi Chen
    , Julian J. McAuley
  2. CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning
    SIGIR 2026 ·
    Boyang Wang
    ,
    Yash Vishe
    ,
    Xin Xu
    ,
    Zachary Novack
    ,
    Xunyi Jiang
    , Julian J. McAuley,
    Junda Wu
  3. CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
    ACL 2026 ·
    Rui Wang
    ,
    Junda Wu
    ,
    Yu Xia
    ,
    Tong Yu
    ,
    Ruiyi Zhang
    ,
    Ryan A. Rossi
    ,
    Subrata Mitra
    ,
    Lina Yao
    , Julian J. McAuley
  4. Dual Conditional Diffusion for Sequential Recommendation
    WSDM 2026 ·
    Hongtao Huang
    ,
    Chengkai Huang
    ,
    Tong Yu
    ,
    Xiaojun Chang
    ,
    Wen Hu
    , Julian J. McAuley,
    Lina Yao
  5. Evaluating Language Model Pluralism through In-the-wild Crowd Discussions
    ACL 2026 ·
    Gagan Mundada
    ,
    Rohan Surana
    ,
    Nandhini Swaminathan
    ,
    Bodhisattwa Prasad Majumder
    ,
    Junda Wu
    , Julian J. McAuley,
    Zhouhang Xie
  6. Inductive Generative Recommendation via Retrieval-based Speculation
    AAAI 2026 ·
    Yijie Ding
    ,
    Jiacheng Li
    , Julian J. McAuley,
    Yupeng Hou
  7. Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
    WWW 2026 ·
    Yu Xia
    ,
    Sungchul Kim
    ,
    Tong Yu
    ,
    Ryan A. Rossi
    , Julian J. McAuley
  8. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
    ACL 2026 ·
    Chuhan Wang
    ,
    Xintong Li
    ,
    Jennifer Yuntong Zhang
    ,
    Junda Wu
    ,
    Chengkai Huang
    ,
    Lina Yao
    , Julian J. McAuley,
    Jingbo Shang
  9. The 2nd Workshop on Human-Centered Recommender Systems
    WWW 2026 ·
    Kaike Zhang
    ,
    Jiakai Tang
    ,
    Du Su
    ,
    Shuchang Liu
    , Julian J. McAuley,
    Lina Yao
    ,
    Qi Cao
    ,
    Yue Feng
    ,
    Fei Sun
  10. Third Workshop on Generative AI for Recommender Systems and Personalization
    WSDM 2026 ·
    Narges Tabari
    ,
    Aniket Deshmukh
    ,
    Wang-Cheng Kang
    , Julian J. McAuley,
    James Caverlee
    ,
    Neil Shah
    ,
    George Karypis
  11. When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
    EACL 2026 ·
    Xunyi Jiang
    ,
    Dingyi Chang
    , Julian J. McAuley,
    Xin Xu
  12. ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation
    SIGIR 2026 ·
    Johannes Kruse
    ,
    Ryotaro Shimizu
    ,
    Kasper Lindskow
    ,
    Jon Tofteskov
    ,
    Michael Riis Andersen
    , Julian J. McAuley,
    Jes Frellsen
  13. A Tutorial on Agentic LLM for Recommender Systems
    RecSys 2025 ·
    Chengkai Huang
    ,
    Junda Wu
    ,
    Tong Yu
    , Julian J. McAuley,
    Lina Yao
  14. ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
    ICML 2025 ·
    Yupeng Hou
    ,
    Jianmo Ni
    ,
    Zhankui He
    ,
    Noveen Sachdeva
    ,
    Wang-Cheng Kang
    ,
    Ed H. Chi
    , Julian J. McAuley,
    Derek Zhiyuan Cheng
  15. Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
    SIGKDD 2025 ·
    Hyunsik Jeon
    ,
    Satoshi Koide
    ,
    Yu Wang
    ,
    Zhankui He
    , Julian J. McAuley
  16. Bridging Conversational and Collaborative Signals for Conversational Recommendation
    WWW 2025 ·
    Ahmad Bin Rabiah
    ,
    Nafis Sadeq
    , Julian J. McAuley
  17. CoMMIT: Coordinated Multimodal Instruction Tuning
    EMNLP 2025 ·
    Xintong Li
    ,
    Junda Wu
    ,
    Tong Yu
    ,
    Rui Wang
    ,
    Yu Wang
    ,
    Xiang Chen
    ,
    Jiuxiang Gu
    ,
    Lina Yao
    , Julian J. McAuley,
    Jingbo Shang
  18. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
    EMNLP 2025 ·
    Dayu Yang
    ,
    Tianyang Liu
    ,
    Daoan Zhang
    ,
    Antoine Simoulin
    ,
    Xiaoyi Liu
    ,
    Yuwei Cao
    ,
    Zhaopu Teng
    ,
    Xin Qian
    ,
    Grey Yang
    ,
    Jiebo Luo
    , Julian J. McAuley
  19. Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
    WWW 2025 ·
    Ryotaro Shimizu
    ,
    Takashi Wada
    ,
    Yu Wang
    ,
    Johannes Kruse
    ,
    Sean O'Brien
    ,
    Sai Htaung Kham
    ,
    Linxin Song
    ,
    Yuya Yoshikawa
    ,
    Yuki Saito
    ,
    Fugee Tsung
    ,
    Masayuki Goto
    , Julian J. McAuley
  20. Doc-React: Multi-page Heterogeneous Document Question-answering
    ACL 2025 ·
    Junda Wu
    ,
    Yu Xia
    ,
    Tong Yu
    ,
    Xiang Chen
    ,
    Sai Sree Harsha
    ,
    Akash V. Maharaj
    ,
    Ruiyi Zhang
    ,
    Victor S. Bursztyn
    ,
    Sungchul Kim
    ,
    Ryan A. Rossi
    , Julian J. McAuley,
    Yunyao Li
    ,
    Ritwik Sinha
  21. Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
    EMNLP 2025 ·
    Sheldon Yu
    ,
    Yuxin Xiong
    ,
    Junda Wu
    ,
    Xintong Li
    ,
    Tong Yu
    ,
    Xiang Chen
    ,
    Ritwik Sinha
    ,
    Jingbo Shang
    , Julian J. McAuley
  22. First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)
    RecSys 2025 ·
    Claudio Pomo
    ,
    Dietmar Jannach
    ,
    Yubin Kim
    ,
    Daniele Malitesta
    ,
    Alberto Carlo Maria Mancino
    , Julian J. McAuley,
    Alessandro B. Melchiorre
    ,
    Shah Nawaz
  23. From Selection to Generation: A Survey of LLM-based Active Learning
    ACL 2025 ·
    Yu Xia
    ,
    Subhojyoti Mukherjee
    ,
    Zhouhang Xie
    ,
    Junda Wu
    ,
    Xintong Li
    ,
    Ryan Aponte
    ,
    Hanjia Lyu
    ,
    Joe Barrow
    ,
    Hongjie Chen
    ,
    Franck Dernoncourt
    ,
    Branislav Kveton
    ,
    Tong Yu
    ,
    Ruiyi Zhang
    ,
    Jiuxiang Gu
    ,
    Nesreen K. Ahmed
    ,
    Yu Wang
    ,
    Xiang Chen
    ,
    Hanieh Deilamsalehy
    ,
    Sungchul Kim
    ,
    Zhengmian Hu
    ,
    Yue Zhao
    ,
    Nedim Lipka
    ,
    Seunghyun Yoon
    ,
    Ting-Hao 'Kenneth' Huang
    ,
    Zichao Wang
    ,
    Puneet Mathur
    ,
    Soumyabrata Pal
    ,
    Koyel Mukherjee
    ,
    Zhehao Zhang
    ,
    Namyong Park
    ,
    Thien Huu Nguyen
    ,
    Jiebo Luo
    ,
    Ryan A. Rossi
    , Julian J. McAuley
  24. GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI
    SIGIR 2025 ·
    Yashar Deldjoo
    ,
    Scott Sanner
    ,
    Enrico Palumbo
    ,
    Hugues Bouchard
    ,
    Shuai Zhang
    ,
    Pablo Castells
    , Julian J. McAuley
  25. Generating Long Semantic IDs in Parallel for Recommendation
    SIGKDD 2025 ·
    Yupeng Hou
    ,
    Jiacheng Li
    ,
    Ashley Shin
    ,
    Jinsung Jeon
    ,
    Abhishek Santhanam
    ,
    Wei Shao
    ,
    Kaveh Hassani
    ,
    Ning Yao
    , Julian J. McAuley
  26. Generative Recommendation Models: Progress and Directions
    WWW 2025 ·
    Yupeng Hou
    ,
    An Zhang
    ,
    Leheng Sheng
    ,
    Zhengyi Yang
    ,
    Xiang Wang
    ,
    Tat-Seng Chua
    , Julian J. McAuley
  27. Image Difference Captioning via Adversarial Preference Optimization
    EMNLP 2025 ·
    Zihan Huang
    ,
    Junda Wu
    ,
    Rohan Surana
    ,
    Tong Yu
    ,
    David Arbour
    ,
    Ritwik Sinha
    , Julian J. McAuley
  28. International Workshop on Online and Adaptive Recommender Systems (OARS 2025)
    SIGKDD 2025 ·
    Xiquan Cui
    ,
    Derek Zhiyuan Cheng
    ,
    Fei Liu
    ,
    Tao Ye
    , Julian J. McAuley,
    Vachik S. Dave
    ,
    Stephen Guo
  29. Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
    NAACL 2025 ·
    Yu Xia
    ,
    Junda Wu
    ,
    Sungchul Kim
    ,
    Tong Yu
    ,
    Ryan A. Rossi
    ,
    Haoliang Wang
    , Julian J. McAuley
  30. Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
    NAACL 2025 ·
    Xiaoyu Liu
    ,
    Paiheng Xu
    ,
    Junda Wu
    ,
    Jiaxin Yuan
    ,
    Yifan Yang
    ,
    Yuhang Zhou
    ,
    Fuxiao Liu
    ,
    Tianrui Guan
    ,
    Haoliang Wang
    ,
    Tong Yu
    , Julian J. McAuley,
    Wei Ai
    ,
    Furong Huang
  31. Large Scale Knowledge Washing
    ICLR 2025 ·
    Yu Wang
    ,
    Ruihan Wu
    ,
    Zexue He
    ,
    Xiusi Chen
    , Julian J. McAuley
  32. Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
    NAACL 2025 ·
    Zhouhang Xie
    ,
    Tushar Khot
    ,
    Bhavana Dalvi Mishra
    ,
    Harshit Surana
    , Julian J. McAuley,
    Peter Clark
    ,
    Bodhisattwa Prasad Majumder
  33. Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
    NeurIPS 2025 ·
    Hongtao Huang
    ,
    Chengkai Huang
    ,
    Junda Wu
    ,
    Tong Yu
    , Julian J. McAuley,
    Lina Yao
  34. Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
    SIGKDD 2025 ·
    Sein Kim
    ,
    Hongseok Kang
    ,
    Kibum Kim
    ,
    Jiwan Kim
    ,
    Donghyun Kim
    ,
    Minchul Yang
    ,
    Kwangjin Oh
    , Julian J. McAuley,
    Chanyoung Park
  35. M+: Extending MemoryLLM with Scalable Long-Term Memory
    ICML 2025 ·
    Yu Wang
    ,
    Dmitry Krotov
    ,
    Yuanzhe Hu
    ,
    Yifan Gao
    ,
    Wangchunshu Zhou
    , Julian J. McAuley,
    Dan Gutfreund
    ,
    Rogério Feris
    ,
    Zexue He
  36. Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement
    ICLR 2025 ·
    Kotaro Yoshida
    ,
    Yuji Naraki
    ,
    Takafumi Horie
    ,
    Ryosuke Yamaki
    ,
    Ryotaro Shimizu
    ,
    Yuki Saito
    , Julian J. McAuley,
    Hiroki Naganuma
  37. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
    EMNLP 2025 ·
    Junda Wu
    ,
    Yuxin Xiong
    ,
    Xintong Li
    ,
    Yu Xia
    ,
    Ruoyu Wang
    ,
    Yu Wang
    ,
    Tong Yu
    ,
    Sungchul Kim
    ,
    Ryan A. Rossi
    ,
    Lina Yao
    ,
    Jingbo Shang
    , Julian J. McAuley
  38. Normative Alignment of Recommender Systems via Internal Label Shift
    RecSys 2025 ·
    Johannes Kruse
    ,
    Kasper Lindskow
    ,
    Michael Riis Andersen
    ,
    Ryotaro Shimizu
    , Julian J. McAuley,
    Pierre-Alexandre Mattei
    ,
    Jes Frellsen
  39. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
    ICLR 2025 ·
    Junda Wu
    ,
    Xintong Li
    ,
    Ruoyu Wang
    ,
    Yu Xia
    ,
    Yuxin Xiong
    ,
    Jianing Wang
    ,
    Tong Yu
    ,
    Xiang Chen
    ,
    Branislav Kveton
    ,
    Lina Yao
    ,
    Jingbo Shang
    , Julian J. McAuley
  40. Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation
    SIGKDD 2025 ·
    Zhenrui Yue
    ,
    Huimin Zeng
    ,
    Yueqi Wang
    , Julian J. McAuley,
    Dong Wang
  41. Presto! Distilling Steps and Layers for Accelerating Music Generation
    ICLR 2025 ·
    Zachary Novack
    ,
    Ge Zhu
    ,
    Jonah Casebeer
    , Julian J. McAuley,
    Taylor Berg-Kirkpatrick
    ,
    Nicholas J. Bryan
  42. REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
    NeurIPS 2025 ·
    Weihan Xu
    ,
    Yimeng Ma
    ,
    Jingyue Huang
    ,
    Yang Li
    ,
    Wenye Ma
    ,
    Taylor Berg-Kirkpatrick
    , Julian J. McAuley,
    Paul Pu Liang
    ,
    Hao-Wen Dong
  43. Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
    WSDM 2025 ·
    Zhankui He
    ,
    Zhouhang Xie
    ,
    Harald Steck
    ,
    Dawen Liang
    ,
    Rahul Jha
    ,
    Nathan Kallus
    , Julian J. McAuley
  44. SAND: Boosting LLM Agents with Self-Taught Action Deliberation
    EMNLP 2025 ·
    Yu Xia
    ,
    Yiran Shen
    ,
    Junda Wu
    ,
    Tong Yu
    ,
    Sungchul Kim
    ,
    Ryan A. Rossi
    ,
    Lina Yao
    , Julian J. McAuley
  45. Second Workshop on Generative AI for Recommender Systems and Personalization
    SIGKDD 2025 ·
    Narges Tabari
    ,
    Aniket Deshmukh
    ,
    Wang-Cheng Kang
    , Julian J. McAuley,
    James Caverlee
    ,
    Neil Shah
    ,
    George Karypis
  46. Self-Updatable Large Language Models by Integrating Context into Model Parameters
    ICLR 2025 ·
    Yu Wang
    ,
    Xinshuang Liu
    ,
    Xiusi Chen
    ,
    Sean O'Brien
    ,
    Junda Wu
    , Julian J. McAuley
  47. Symbolic Representation for Any-to-Any Generative Tasks
    CVPR 2025 ·
    Jiaqi Chen
    ,
    Xiaoye Zhu
    ,
    Yue Wang
    ,
    Tianyang Liu
    ,
    Xinhui Chen
    ,
    Ying Chen
    ,
    Chak Tou Leong
    ,
    Yifei Ke
    ,
    Joseph Liu
    ,
    Yiwen Yuan
    , Julian J. McAuley,
    Li-jia Li
  48. TeaserGen: Generating Teasers for Long Documentaries
    ICLR 2025 ·
    Weihan Xu
    ,
    Paul Pu Liang
    ,
    Haven Kim
    , Julian J. McAuley,
    Taylor Berg-Kirkpatrick
    ,
    Hao-Wen Dong
  49. The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking
    WWW 2025 ·
    Qingsong Wen
    ,
    Yongfeng Zhang
    ,
    Zhiwei Liu
    , Julian J. McAuley,
    Hua Wei
    ,
    Linsey Pang
    ,
    Wei Liu
    ,
    Philip S. Yu
  50. The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking
    SIGKDD 2025 ·
    Qingsong Wen
    ,
    Yongfeng Zhang
    ,
    Zhiwei Liu
    , Julian J. McAuley,
    Hua Wei
    ,
    Linsey Pang
    ,
    Wei Liu
    ,
    Philip S. Yu
  51. The Second Workshop on Generative AI for E-commerce
    RecSys 2025 ·
    Mansi Ranjit Mane
    ,
    Djordje Gligorijevic
    ,
    Dingxian Wang
    ,
    Topojoy Biswas
    ,
    Evren Körpeoglu
    ,
    Marios Savvides
    ,
    Yongfeng Zhang
    , Julian J. McAuley
  52. Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
    SIGIR 2025 ·
    Yashar Deldjoo
    ,
    Nikhil Mehta
    ,
    Maheswaran Sathiamoorthy
    ,
    Shuai Zhang
    ,
    Pablo Castells
    , Julian J. McAuley
  53. Towards Large Generative Recommendation: A Tokenization Perspective
    CIKM 2025 ·
    Yupeng Hou
    ,
    An Zhang
    ,
    Leheng Sheng
    ,
    Jiancan Wu
    ,
    Xiang Wang
    ,
    Tat-Seng Chua
    , Julian J. McAuley
  54. Tutorial on Recommendation with Generative Models (Gen-RecSys)
    WSDM 2025 ·
    Yashar Deldjoo
    ,
    Zhankui He
    , Julian J. McAuley,
    Anton Korikov
    ,
    Scott Sanner
    ,
    Arnau Ramisa
    ,
    René Vidal
    ,
    Maheswaran Sathiamoorthy
    ,
    Atoosa Kasirzadeh
    ,
    Silvia Milano
  55. Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
    NAACL 2025 ·
    Tingchen Fu
    ,
    Yupeng Hou
    , Julian J. McAuley,
    Rui Yan
  56. Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
    IROS 2025 ·
    Ruoyu Wang
    ,
    Tong Yu
    ,
    Junda Wu
    ,
    Yao Liu
    , Julian J. McAuley,
    Lina Yao
  57. WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
    EMNLP 2025 ·
    Gagan Mundada
    ,
    Yash Vishe
    ,
    Amit Namburi
    ,
    Xin Xu
    ,
    Zachary Novack
    , Julian J. McAuley,
    Junda Wu
  58. Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
    WSDM 2025 ·
    Yueqi Wang
    ,
    Zhankui He
    ,
    Zhenrui Yue
    , Julian J. McAuley,
    Dong Wang
  59. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
    SIGKDD 2024 ·
    Yashar Deldjoo
    ,
    Zhankui He
    , Julian J. McAuley,
    Anton Korikov
    ,
    Scott Sanner
    ,
    Arnau Ramisa
    ,
    René Vidal
    ,
    Maheswaran Sathiamoorthy
    ,
    Atoosa Kasirzadeh
    ,
    Silvia Milano
  60. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
    WWW 2024 ·
    Junjie Zhang
    ,
    Yupeng Hou
    ,
    Ruobing Xie
    ,
    Wenqi Sun
    , Julian J. McAuley,
    Wayne Xin Zhao
    ,
    Leyu Lin
    ,
    Ji-Rong Wen
  61. Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
    NAACL 2024 ·
    Yu Xia
    ,
    Tong Yu
    ,
    Zhankui He
    ,
    Handong Zhao
    , Julian J. McAuley,
    Shuai Li
  62. Automatic Pair Construction for Contrastive Post-training
    NAACL 2024 ·
    Canwen Xu
    ,
    Corby Rosset
    ,
    Ethan C. Chau
    ,
    Luciano Del Corro
    ,
    Shweti Mahajan
    , Julian J. McAuley,
    Jennifer Neville
    ,
    Ahmed Awadallah
    ,
    Nikhil Rao
  63. Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
    CIKM 2024 ·
    Hyunsik Jeon
    ,
    Se-eun Yoon
    , Julian J. McAuley
  64. CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
    SIGKDD 2024 ·
    Junda Wu
    ,
    Cheng-Chun Chang
    ,
    Tong Yu
    ,
    Zhankui He
    ,
    Jianing Wang
    ,
    Yupeng Hou
    , Julian J. McAuley
  65. Cognitive Bias in Decision-Making with LLMs
    EMNLP 2024 ·
    Jessica Maria Echterhoff
    ,
    Yao Liu
    ,
    Abeer Alessa
    , Julian J. McAuley,
    Zexue He
  66. DITTO: Diffusion Inference-Time T-Optimization for Music Generation
    ICML 2024 ·
    Zachary Novack
    , Julian J. McAuley,
    Taylor Berg-Kirkpatrick
    ,
    Nicholas J. Bryan
  67. DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
    ACL 2024 ·
    Junda Wu
    ,
    Tong Yu
    ,
    Xiang Chen
    ,
    Haoliang Wang
    ,
    Ryan A. Rossi
    ,
    Sungchul Kim
    ,
    Anup B. Rao
    , Julian J. McAuley
  68. Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
    AAAI 2024 ·
    Yu Wang
    ,
    Zexue He
    ,
    Zhankui He
    ,
    Hao Xu
    , Julian J. McAuley
  69. Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
    NAACL 2024 ·
    Se-eun Yoon
    ,
    Zhankui He
    ,
    Jessica Maria Echterhoff
    , Julian J. McAuley
  70. Extending Input Contexts of Language Models through Training on Segmented Sequences
    NAACL 2024 ·
    Petros Karypis
    , Julian J. McAuley,
    George Karypis
  71. Fair Sequential Recommendation without User Demographics
    SIGIR 2024 ·
    Huimin Zeng
    ,
    Zhankui He
    ,
    Zhenrui Yue
    , Julian J. McAuley,
    Dong Wang
  72. Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning
    ACL 2024 ·
    Zhouhang Xie
    ,
    Bodhisattwa Prasad Majumder
    ,
    Mengjie Zhao
    ,
    Yoshinori Maeda
    ,
    Keiichi Yamada
    ,
    Hiromi Wakaki
    , Julian J. McAuley
  73. First Workshop on Generative AI for Recommender Systems and Personalization
    SIGKDD 2024 ·
    Narges Tabari
    ,
    Aniket Anand Deshmukh
    ,
    Wang-Cheng Kang
    ,
    Hamed Zamani
    ,
    Rashmi Gangadharaiah
    , Julian J. McAuley,
    George Karypis
  74. Forecasting Live Chat Intent from Browsing History
    CIKM 2024 ·
    Se-eun Yoon
    ,
    Ahmad Bin Rabiah
    ,
    Zaid Alibadi
    ,
    Surya Kallumadi
    , Julian J. McAuley
  75. InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
    WWW 2024 ·
    Jiarui Jin
    ,
    Zexue He
    ,
    Mengyue Yang
    ,
    Weinan Zhang
    ,
    Yong Yu
    ,
    Jun Wang
    , Julian J. McAuley
  76. InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
    ACL 2024 ·
    Jianing Wang
    ,
    Junda Wu
    ,
    Yupeng Hou
    ,
    Yao Liu
    ,
    Ming Gao
    , Julian J. McAuley
  77. International Workshop on Online and Adaptive Recommender Systems (OARS 2024)
    CIKM 2024 ·
    Xiquan Cui
    ,
    Vachik S. Dave
    ,
    Yi Su
    ,
    Khalifeh Al Jadda
    ,
    Srijan Kumar
    , Julian J. McAuley,
    Tao Ye
    ,
    Stephen D. Guo
    ,
    Chip Huyen
  78. Linear Layer Extrapolation for Fine-Grained Emotion Classification
    EMNLP 2024 ·
    Mayukh Sharma
    ,
    Sean O'Brien
    , Julian J. McAuley
  79. Linear Recurrent Units for Sequential Recommendation
    WSDM 2024 ·
    Zhenrui Yue
    ,
    Yueqi Wang
    ,
    Zhankui He
    ,
    Huimin Zeng
    , Julian J. McAuley,
    Dong Wang
  80. MAWI Rec: Leveraging Severe Weather Data in Recommendation
    RecSys 2024 ·
    Brendan Andrew Duncan
    ,
    Surya Kallumadi
    ,
    Taylor Berg-Kirkpatrick
    , Julian J. McAuley
  81. MEMORYLLM: Towards Self-Updatable Large Language Models
    ICML 2024 ·
    Yu Wang
    ,
    Yifan Gao
    ,
    Xiusi Chen
    ,
    Haoming Jiang
    ,
    Shiyang Li
    ,
    Jingfeng Yang
    ,
    Qingyu Yin
    ,
    Zheng Li
    ,
    Xian Li
    ,
    Bing Yin
    ,
    Jingbo Shang
    , Julian J. McAuley
  82. Mitigating Hallucination in Fictional Character Role-Play
    EMNLP 2024 ·
    Nafis Sadeq
    ,
    Zhouhang Xie
    ,
    Byungkyu Kang
    ,
    Prarit Lamba
    ,
    Xiang Gao
    , Julian J. McAuley
  83. Multi-Behavior Generative Recommendation
    CIKM 2024 ·
    Zihan Liu
    ,
    Yupeng Hou
    , Julian J. McAuley
  84. Neighborhood-Based Collaborative Filtering for Conversational Recommendation
    RecSys 2024 ·
    Zhouhang Xie
    ,
    Junda Wu
    ,
    Hyunsik Jeon
    ,
    Zhankui He
    ,
    Harald Steck
    ,
    Rahul Jha
    ,
    Dawen Liang
    ,
    Nathan Kallus
    , Julian J. McAuley
  85. Off-Policy Evaluation for Large Action Spaces via Policy Convolution
    WWW 2024 ·
    Noveen Sachdeva
    ,
    Lequn Wang
    ,
    Dawen Liang
    ,
    Nathan Kallus
    , Julian J. McAuley
  86. RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
    AAAI 2024 ·
    Zeyuan Zhang
    ,
    Tanmay Laud
    ,
    Zihang He
    ,
    Xiaojie Chen
    ,
    Xinshuang Liu
    ,
    Zhouhang Xie
    , Julian J. McAuley,
    Zhankui He
  87. RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
    ICLR 2024 ·
    Tianyang Liu
    ,
    Canwen Xu
    , Julian J. McAuley
  88. SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
    ICML 2024 ·
    Paarth Neekhara
    ,
    Shehzeen Samarah Hussain
    ,
    Rafael Valle
    ,
    Boris Ginsburg
    ,
    Rishabh Ranjan
    ,
    Shlomo Dubnov
    ,
    Farinaz Koushanfar
    , Julian J. McAuley
  89. Small Models are Valuable Plug-ins for Large Language Models
    ACL 2024 ·
    Canwen Xu
    ,
    Yichong Xu
    ,
    Shuohang Wang
    ,
    Yang Liu
    ,
    Chenguang Zhu
    , Julian J. McAuley
  90. The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)
    RecSys 2024 ·
    Yashar Deldjoo
    , Julian J. McAuley,
    Scott Sanner
    ,
    Pablo Castells
    ,
    Shuai Zhang
    ,
    Enrico Palumbo
  91. Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
    EMNLP 2024 ·
    Yueqi Wang
    ,
    Zhenrui Yue
    ,
    Huimin Zeng
    ,
    Dong Wang
    , Julian J. McAuley
  92. Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
    ICML 2024 ·
    Guangyi Liu
    ,
    Yu Wang
    ,
    Zeyu Feng
    ,
    Qiyu Wu
    ,
    Liping Tang
    ,
    Yuan Gao
    ,
    Zhen Li
    ,
    Shuguang Cui
    , Julian J. McAuley,
    Zichao Yang
    ,
    Eric P. Xing
    ,
    Zhiting Hu