Quanyu Dai

Venues

Frequent coauthors

Papers

1. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
   ACL 2026 ·

   Haoran Tan

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2. Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation
   WWW 2026 ·

   Xueyang Feng

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3. Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
   IJCAI 2025 ·

   Jie-Jing Shao

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4. CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
   NeurIPS 2025 ·

   Rui Li

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5. Distributional LLM-as-a-Judge
   NeurIPS 2025 ·

   Luyu Chen

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6. EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
   WWW 2025 ·

   Minjie Hong

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7. Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
   ACL 2025 ·

   Xueyang Feng

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8. Improving Retrospective Language Agents via Joint Policy Gradient Optimization
   NAACL 2025 ·

   Xueyang Feng

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9. KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
   SIGKDD 2025 ·

   Rui Li

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10. MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
    WWW 2025 · Quanyu Dai
11. MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
    ACL 2025 ·

    Zhipeng Bian

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12. MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
    ACL 2025 ·

    Haoran Tan

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13. MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
    WWW 2025 ·

    Zeyu Zhang

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14. MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants
    NeurIPS 2025 ·

    Zeyu Zhang

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15. RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems
    WWW 2025 ·

    Luyu Chen

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16. SocialEval: Evaluating Social Intelligence of Large Language Models
    ACL 2025 ·

    Jinfeng Zhou

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17. Benchmarking News Recommendation in the Era of Green AI
    WWW 2024 ·

    Qijiong Liu

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18. MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation
    ACM MM 2024 ·

    Haojie Wei

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19. Modeling User Attention in Music Recommendation
    ICDE 2024 ·

    Sunhao Dai

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20. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
    SIGKDD 2024 ·

    Qijiong Liu

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21. Reflective Multi-Agent Collaboration based on Large Language Models
    NeurIPS 2024 ·

    Xiaohe Bo

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22. UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning
    CIKM 2024 ·

    Boqi Dai

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23. Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
    AAAI 2024 ·

    Lei Wang

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