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 20242026

Venues

Frequent coauthors

Papers

  1. Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
  2. CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning
  3. CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
  4. Dual Conditional Diffusion for Sequential Recommendation
  5. Evaluating Language Model Pluralism through In-the-wild Crowd Discussions
  6. Inductive Generative Recommendation via Retrieval-based Speculation
  7. Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
  8. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes
  9. The 2nd Workshop on Human-Centered Recommender Systems
  10. Third Workshop on Generative AI for Recommender Systems and Personalization
  11. When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
  12. ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation
  13. A Tutorial on Agentic LLM for Recommender Systems
  14. ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
  15. Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
  16. Bridging Conversational and Collaborative Signals for Conversational Recommendation
  17. CoMMIT: Coordinated Multimodal Instruction Tuning
  18. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
  19. Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
  20. Doc-React: Multi-page Heterogeneous Document Question-answering
  21. Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
  22. First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)
  23. From Selection to Generation: A Survey of LLM-based Active Learning
  24. GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI
  25. Generating Long Semantic IDs in Parallel for Recommendation
  26. Generative Recommendation Models: Progress and Directions
  27. Image Difference Captioning via Adversarial Preference Optimization
  28. International Workshop on Online and Adaptive Recommender Systems (OARS 2025)
  29. Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
  30. Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
  31. Large Scale Knowledge Washing
  32. Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
  33. Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
  34. Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
  35. M+: Extending MemoryLLM with Scalable Long-Term Memory
  36. Mastering Task Arithmetic: τJp as a Key Indicator for Weight Disentanglement
  37. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
  38. Normative Alignment of Recommender Systems via Internal Label Shift
  39. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
  40. Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation
  41. Presto! Distilling Steps and Layers for Accelerating Music Generation
  42. REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
  43. Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
  44. SAND: Boosting LLM Agents with Self-Taught Action Deliberation
  45. Second Workshop on Generative AI for Recommender Systems and Personalization
  46. Self-Updatable Large Language Models by Integrating Context into Model Parameters
  47. Symbolic Representation for Any-to-Any Generative Tasks
  48. TeaserGen: Generating Teasers for Long Documentaries
  49. The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking
  50. The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking
  51. The Second Workshop on Generative AI for E-commerce
  52. Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
  53. Towards Large Generative Recommendation: A Tokenization Perspective
  54. Tutorial on Recommendation with Generative Models (Gen-RecSys)
  55. Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
  56. Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
  57. WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
  58. Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
  59. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
  60. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
  61. Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
  62. Automatic Pair Construction for Contrastive Post-training
  63. Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
  64. CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
  65. Cognitive Bias in Decision-Making with LLMs
    EMNLP 2024 ·
    Jessica Maria Echterhoff
  66. DITTO: Diffusion Inference-Time T-Optimization for Music Generation
  67. DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
  68. Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
  69. Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
  70. Extending Input Contexts of Language Models through Training on Segmented Sequences
  71. Fair Sequential Recommendation without User Demographics
  72. Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning
  73. First Workshop on Generative AI for Recommender Systems and Personalization
  74. Forecasting Live Chat Intent from Browsing History
  75. InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
  76. InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
  77. International Workshop on Online and Adaptive Recommender Systems (OARS 2024)
  78. Linear Layer Extrapolation for Fine-Grained Emotion Classification
  79. Linear Recurrent Units for Sequential Recommendation
  80. MAWI Rec: Leveraging Severe Weather Data in Recommendation
  81. MEMORYLLM: Towards Self-Updatable Large Language Models
  82. Mitigating Hallucination in Fictional Character Role-Play
  83. Multi-Behavior Generative Recommendation
  84. Neighborhood-Based Collaborative Filtering for Conversational Recommendation
  85. Off-Policy Evaluation for Large Action Spaces via Policy Convolution
  86. RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
  87. RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
  88. SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
  89. Small Models are Valuable Plug-ins for Large Language Models
  90. The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN)
  91. Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
  92. Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding