PPaperPicks

Xin Zhao

Renmin University of China, Beijing, China

87 papers at tracked venues · 60 at CORE A* · active 2024–2026

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Venues

ACL ×19EMNLP ×16SIGIR ×10AAAI ×6NeurIPS ×6WWW ×6ICLR ×5SIGKDD ×4CIKM ×3NAACL ×3RecSys ×3ICML ×2ACM MM ×1EACL ×1ECCV ×1ICDE ×1

Frequent coauthors

Bowen Zheng
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Yuhao Wang
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Xinyu Tang
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Yifan Li
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Zhipeng Chen
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Junjie Zhang
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Xiaoxue Cheng
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Zhen Tian
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Jinhao Jiang
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Ruiyang Ren
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Jie Chen
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Tianyi Tang
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Papers

  1. Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
    AAAI 2026 ·
    Yifan Li
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  2. BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
    AAAI 2026 ·
    Yuhao Wang
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  3. Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models
    ACL 2026 ·
    Jia Deng
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  4. Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning
    ACL 2026 ·
    Yifan Li
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  5. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
    ACL 2026 ·
    Haoxiang Sun
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  6. Experience-Driven Reflective Co-Evolution of Prompts and Heuristics for Autonomous Algorithm Design
    ACL 2026 ·
    Yihong Liu
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  7. GenCI: Generative Modeling of User Interest Shift via Cohort-based Intent Learning for CTR Prediction
    WWW 2026 ·
    Kesha Ou
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  8. Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
    AAAI 2026 ·
    Rui Zou
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  9. LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation
    SIGIR 2026 ·
    Hongzhi Yin
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  10. RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
    EACL 2026 ·
    Jiapeng Wang
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  11. Reasoning with Exploration: An Entropy Perspective
    AAAI 2026 ·
    Daixuan Cheng
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  12. Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation
    ACL 2026 ·
    Yuhao Wang
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  13. Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
    ACL 2026 ·
    Xinyu Tang
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  14. Scaling Laws for Code: Every Programming Language Matters
    ACL 2026 ·
    Jian Yang
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  15. Towards Effective Code-Integrated Reasoning
    AAAI 2026 ·
    Fei Bai
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  16. Universal Item Tokenization for Transferable Generative Recommendation
    SIGIR 2026 ·
    Bowen Zheng
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  17. Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation
    CIKM 2025 ·
    Bowen Zheng
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  18. Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
    SIGKDD 2025 ·
    Enze Liu
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  19. C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
    ICML 2025 ·
    Guoxin Chen
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  20. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
    EMNLP 2025 ·
    Han Peng
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  21. DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
    NAACL 2025 ·
    Xinyu Tang
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  22. Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
    NeurIPS 2025 ·
    Zican Dong
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  23. Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis
    EMNLP 2025 ·
    Yiru Tang
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  24. Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
    SIGKDD 2025 ·
    Bowen Zheng
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  25. Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
    RecSys 2025 ·
    Bowen Zheng
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  26. Exploring the Design Space of Visual Context Representation in Video MLLMs
    ICLR 2025 ·
    Yifan Du
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  27. Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
    EMNLP 2025 ·
    Zhipeng Chen
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  28. Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation
    WWW 2025 ·
    Junjie Zhang
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  29. Generative Recommender with End-to-End Learnable Item Tokenization
    SIGIR 2025 ·
    Enze Liu
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  30. ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests
    NeurIPS 2025 ·
    Shiyi Xu
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  31. Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
    NeurIPS 2025 ·
    Xiaoxue Cheng
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  32. Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
    ICLR 2025 ·
    Xiaolei Wang
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  33. Irrational Complex Rotations Empower Low-bit Optimizers
    NeurIPS 2025 ·
    Zhen Tian
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  34. KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
    ACL 2025 ·
    Jinhao Jiang
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  35. LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking
    SIGIR 2025 ·
    Ruiyang Ren
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  36. Less is More: High-value Data Selection for Visual Instruction Tuning
    ACM MM 2025 ·
    Zikang Liu
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  37. MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation
    SIGIR 2025 ·
    Ruoxuan Feng
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  38. MMATH: A Multilingual Benchmark for Mathematical Reasoning
    EMNLP 2025 ·
    Wenyang Luo
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  39. ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework
    EMNLP 2025 ·
    Lisheng Huang
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  40. Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
    ICLR 2025 ·
    Jinhao Jiang
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  41. Neuron based Personality Trait Induction in Large Language Models
    ICLR 2025 ·
    Jia Deng
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  42. On Domain-Adaptive Post-Training for Multimodal Large Language Models
    EMNLP 2025 ·
    Daixuan Cheng
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  43. RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
    NAACL 2025 ·
    Jinhao Jiang
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  44. STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning
    CIKM 2025 ·
    Chenghao Wu
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  45. Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
    SIGIR 2025 ·
    Xiaolei Wang
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  46. Self-Calibrated Listwise Reranking with Large Language Models
    WWW 2025 ·
    Ruiyang Ren
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  47. SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
    EMNLP 2025 ·
    Shuang Sun
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  48. Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
    EMNLP 2025 ·
    Huatong Song
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  49. Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework
    EMNLP 2025 ·
    Jie Chen
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  50. The 3rd Workshop on Personal Intelligence with Generative AI
    WWW 2025 ·
    Yang Zhang
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  51. Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
    ACL 2025 ·
    Xiaoxue Cheng
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  52. Towards Effective and Efficient Continual Pre-training of Large Language Models
    ACL 2025 ·
    Jie Chen
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  53. Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
    AAAI 2025 ·
    Xinyu Tang
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  54. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
    ACL 2025 ·
    Xinyu Tang
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  55. Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation
    SIGIR 2025 ·
    Yuhao Wang
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  56. ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models
    EMNLP 2025 ·
    Zikang Liu
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  57. YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model
    ACL 2025 ·
    Yiwen Hu
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  58. Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
    ICDE 2024 ·
    Bowen Zheng
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  59. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
    WWW 2024 ·
    Junjie Zhang
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  60. An Integrated Data Processing Framework for Pretraining Foundation Models
    SIGIR 2024 ·
    Yiding Sun
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  61. AuriSRec: Adversarial User Intention Learning in Sequential Recommendation
    EMNLP 2024 ·
    Junjie Zhang
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  62. BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
    EMNLP 2024 ·
    Ruiyang Ren
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  63. Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
    ICLR 2024 ·
    Geyang Guo
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  64. DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
    ACL 2024 ·
    Yingqian Min
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  65. EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
    SIGIR 2024 ·
    Zhen Tian
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  66. Exploring Context Window of Large Language Models via Decomposed Positional Vectors
    NeurIPS 2024 ·
    Zican Dong
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  67. Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
    ECCV 2024 ·
    Yifan Li
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  68. Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
    ACL 2024 ·
    Zhipeng Chen
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  69. JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
    NeurIPS 2024 ·
    Kun Zhou
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  70. LLMBox: A Comprehensive Library for Large Language Models
    ACL 2024 ·
    Tianyi Tang
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  71. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
    ACL 2024 ·
    Tianyi Tang
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  72. Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
    NAACL 2024 ·
    Tianyi Tang
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  73. Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
    EMNLP 2024 ·
    Zhipeng Chen
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  74. Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
    ACL 2024 ·
    Yuchong Sun
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  75. Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation
    RecSys 2024 ·
    Lanling Xu
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  76. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
    EMNLP 2024 ·
    Yuhao Wang
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  77. Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
    SIGKDD 2024 ·
    Chen Yang
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  78. Rotative Factorization Machines
    SIGKDD 2024 ·
    Zhen Tian
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  79. Scaling Law of Large Sequential Recommendation Models
    RecSys 2024 ·
    Gaowei Zhang
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  80. Sequence-level Semantic Representation Fusion for Recommender Systems
    CIKM 2024 ·
    Lanling Xu
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  81. Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
    EMNLP 2024 ·
    Xiaoxue Cheng
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  82. The 2nd Workshop on Recommendation with Generative Models
    WWW 2024 ·
    Wenjie Wang
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  83. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
    ACL 2024 ·
    Junyi Li
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  84. Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression
    ACL 2024 ·
    Peiyu Liu
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  85. Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
    ICML 2024 ·
    Jinxia Yang
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  86. Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
    EMNLP 2024 ·
    Jie Chen
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