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Dawei Yin

Baidu, Beijing, China

109 papers at tracked venues · 72 at CORE A* · active 2024–2026

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Venues

ACL ×19EMNLP ×17SIGKDD ×14WWW ×11SIGIR ×9AAAI ×6NAACL ×6CIKM ×5NeurIPS ×4ICDE ×3WSDM ×3ICLR ×2ICML ×2IJCAI ×2ACM MM ×1CVPR ×1ECAI ×1ECCV ×1ECIR ×1ECML-PKDD ×1

Frequent coauthors

Yuchen Li
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Wenhan Liu
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Changle Qu
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Zhengliang Shi
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Xubin Ren
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Pengyue Jia
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Hao Sun
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Yiqun Chen
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Wanli Yang
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Xiaolong Wei
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Zhen Zhang
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Dongsheng Zhu
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Papers

  1. Accurate and Efficient Personalized Query Rewriting in Baidu Search
    WWW 2026 ·
    Xu Chu
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  2. AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
    AAAI 2026 ·
    Qiyang Li
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  3. Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models
    ACL 2026 ·
    Can Xu
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  4. Agentic-R: Learning to Retrieve for Agentic Search
    ACL 2026 ·
    Wenhan Liu
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  5. An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision
    ACL 2026 ·
    Zishuai Zhang
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  6. Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning
    AAAI 2026 ·
    Xiaolong Wei
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  7. DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search
    ACL 2026 ·
    Guangming Qin
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  8. DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent
    SIGIR 2026 ·
    Tongzhou Wu
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  9. Efficient Thought Space Exploration Through Strategic Intervention
    AAAI 2026 ·
    Ziheng Li
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  10. LLM-Based Listwise Reranking Under the Effect of Positional Bias
    ECIR 2026 ·
    Jingfen Qiao
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  11. MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
    ACL 2026 ·
    Changle Qu
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  12. Model Editing for New Document Integration in Generative Information Retrieval
    WWW 2026 ·
    Zhen Zhang
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  13. Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search
    WWW 2026 ·
    Yuchen Li
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  14. RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
    SIGIR 2026 ·
    Tingyu Chen
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  15. ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
    ACL 2026 ·
    Wenhan Liu
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  16. Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning
    SIGIR 2026 ·
    Jiahan Chen
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  17. Reinforced Efficient Reasoning via Semantically Diverse Exploration
    ACL 2026 ·
    Ziqi Zhao
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  18. Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory
    SIGKDD 2026 ·
    Yuchen Li
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  19. Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
    AAAI 2026 ·
    Wenda Wei
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  20. Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
    WSDM 2026 ·
    Jiani Huang
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  21. VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
    SIGKDD 2026 ·
    Xubin Ren
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  22. Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection
    CIKM 2025 ·
    Ziyang Chen
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  23. AgentIR: 2nd Workshop on Agent-based Information Retrieval
    SIGIR 2025 ·
    Pengyue Jia
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  24. CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation
    CIKM 2025 ·
    Xingzhu Wang
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  25. CTR-Guided Generative Query Suggestion in Conversational Search
    EMNLP 2025 ·
    Erxue Min
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  26. CoRanking: Collaborative Ranking with Small and Large Ranking Agents
    EMNLP 2025 ·
    Wenhan Liu
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  27. DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
    ICDE 2025 ·
    Xihong Yang
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  28. Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
    CVPR 2025 ·
    Zefeng Zhang
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  29. Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
    ACL 2025 ·
    Dongsheng Zhu
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  30. Enhancing Retrieval-Augmented Generation via Evidence Tree Search
    ACL 2025 ·
    Hao Sun
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  31. Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
    SIGKDD 2025 ·
    Xiaodong Li
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  32. FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking
    SIGKDD 2025 ·
    Yuchen Li
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  33. From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
    ICLR 2025 ·
    Changle Qu
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  34. Generative Retrieval for Book Search
    SIGKDD 2025 ·
    Yubao Tang
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  35. Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
    ICML 2025 ·
    Xin Yang
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  36. Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards
    EMNLP 2025 ·
    Xiaolong Wei
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  37. Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Yiqun Chen
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  38. InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
    AAAI 2025 ·
    Yutong Wu
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  39. Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
    NeurIPS 2025 ·
    Zhengliang Shi
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  40. Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
    ACL 2025 ·
    Shijie Wang
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  41. LLMs + Persona-Plug = Personalized LLMs
    ACL 2025 ·
    Jiongnan Liu
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  42. Large Language Model for E-Commerce Workshop
    WWW 2025 ·
    Haoyu Han
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  43. Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
    CIKM 2025 ·
    Zeyu Xiong
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  44. M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search
    ICDE 2025 ·
    Yuchen Li
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  45. MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
    WWW 2025 ·
    Yiqun Chen
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  46. MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
    ICLR 2025 ·
    Yougang Lyu
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  47. MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering
    ACM MM 2025 ·
    Hui Wu
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  48. Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
    EMNLP 2025 ·
    Jiulong Wu
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  49. Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering
    SIGKDD 2025 ·
    Xinran Chen
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  50. Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search
    SIGKDD 2025 ·
    Hengzhu Tang
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  51. PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
    NAACL 2025 ·
    Jiayi Wu
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  52. Proactive Guidance of Multi-Turn Conversation in Industrial Search
    ACL 2025 ·
    Xiaoyu Li
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  53. RACQC: Advanced Retrieval-Augmented Generation for Chinese Query Correction
    EMNLP 2025 ·
    Jinbo Su
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  54. RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search
    SIGKDD 2025 ·
    Yuchen Li
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  55. RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search
    SIGKDD 2025 ·
    Yuchen Li
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  56. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
    EMNLP 2025 ·
    Junda Zhu
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  57. Replication and Exploration of Generative Retrieval over Dynamic Corpora
    SIGIR 2025 ·
    Zhen Zhang
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  58. Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
    ACL 2025 ·
    Zhengliang Shi
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  59. Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
    ACL 2025 ·
    Wenhan Liu
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  60. TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
    EMNLP 2025 ·
    Hang Ni
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  61. Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization
    ACL 2025 ·
    Yukun Zhao
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  62. The 2nd Workshop on Large Language Models for E-Commerce
    SIGKDD 2025 ·
    Haoyu Han
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  63. The Mirage of Model Editing: Revisiting Evaluation in the Wild
    ACL 2025 ·
    Wanli Yang
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  64. Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
    WWW 2025 ·
    Zhengliang Shi
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  65. TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
    WWW 2025 ·
    Yiqun Chen
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  66. Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
    AAAI 2025 ·
    Shicheng Wang
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  67. Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
    WWW 2025 ·
    Lulu Yu
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  68. Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation
    EMNLP 2025 ·
    Changle Qu
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  69. Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
    EMNLP 2025 ·
    Hengran Zhang
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  70. A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
    NAACL 2024 ·
    Jie Ren
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  71. A Survey of Large Language Models for Graphs
    SIGKDD 2024 ·
    Xubin Ren
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  72. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
    SIGKDD 2024 ·
    Wenqi Fan
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  73. ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
    EMNLP 2024 ·
    Junda Zhu
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  74. AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
    EMNLP 2024 ·
    Hao Sun
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  75. AgentIR: 1st Workshop on Agent-based Information Retrieval
    SIGIR 2024 ·
    Qingpeng Cai
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  76. Cross-model Control: Improving Multiple Large Language Models in One-time Training
    NeurIPS 2024 ·
    Jiayi Wu
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  77. Exploring Memorization in Fine-tuned Language Models
    ACL 2024 ·
    Shenglai Zeng
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  78. FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding
    ECAI 2024 ·
    Jingyang Deng
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  79. G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
    NeurIPS 2024 ·
    Pengyue Jia
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  80. GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation
    EMNLP 2024 ·
    Wenjie Zhou
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  81. GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
    IJCAI 2024 ·
    Yuchen Li
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  82. Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
    ICML 2024 ·
    Xixun Lin
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  83. GraphGPT: Graph Instruction Tuning for Large Language Models
    SIGIR 2024 ·
    Jiabin Tang
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  84. HiGPT: Heterogeneous Graph Language Model
    SIGKDD 2024 ·
    Jiabin Tang
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  85. Hyperbolic Contrastive Learning for Cross-Domain Recommendation
    CIKM 2024 ·
    Xin Yang
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  86. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
    EMNLP 2024 ·
    Yougang Lyu
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  87. Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
    NAACL 2024 ·
    Yukun Zhao
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  88. LLMRec: Large Language Models with Graph Augmentation for Recommendation
    WSDM 2024 ·
    Wei Wei
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  89. LT2R: Learning to Online Learning to Rank for Web Search
    ICDE 2024 ·
    Xiaokai Chu
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  90. Large Language Models for Graphs: Progresses and Directions
    WWW 2024 ·
    Chao Huang
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  91. Learning to Use Tools via Cooperative and Interactive Agents
    EMNLP 2024 ·
    Zhengliang Shi
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  92. MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
    EMNLP 2024 ·
    Weiwei Sun
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  93. MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
    NAACL 2024 ·
    Pengyue Jia
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  94. MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract)
    IJCAI 2024 ·
    Yuchen Li
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  95. PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks
    ECML-PKDD 2024 ·
    Qingqing Ge
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  96. Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning
    ECCV 2024 ·
    Fanyue Wei
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  97. Representation Learning with Large Language Models for Recommendation
    WWW 2024 ·
    Xubin Ren
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  98. Text-Video Retrieval via Multi-Modal Hypergraph Networks
    WSDM 2024 ·
    Qian Li
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  99. The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
    ACL 2024 ·
    Wanli Yang
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  100. The Fall of ROME: Understanding the Collapse of LLMs in Model Editing
    EMNLP 2024 ·
    Wanli Yang
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  101. The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
    ACL 2024 ·
    Shenglai Zeng
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  102. Towards Completeness-Oriented Tool Retrieval for Large Language Models
    CIKM 2024 ·
    Changle Qu
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  103. Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
    EMNLP 2024 ·
    Hao Sun
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  104. UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle
    NAACL 2024 ·
    Yutao Mou
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  105. Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation
    SIGIR 2024 ·
    Dan Luo
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  106. Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback
    SIGIR 2024 ·
    Qian Dong
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  107. UrbanGPT: Spatio-Temporal Large Language Models
    SIGKDD 2024 ·
    Zhonghang Li
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  108. VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
    NAACL 2024 ·
    Dongsheng Zhu
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  109. Whole Page Unbiased Learning to Rank
    WWW 2024 ·
    Haitao Mao
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