Zhongxiang Sun

Venues

Frequent coauthors

Papers

1. Beyond High-Entropy Exploration: Correctness-Aware Low-Entropy Segment-Based Advantage Shaping for Reasoning LLMs
   ACL 2026 ·

   Xinzhu Chen

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2. DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents
   SIGIR 2026 ·

   Jiahao Zhao

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3. Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
   SIGIR 2026 · Zhongxiang Sun
4. QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
   SIGIR 2026 ·

   Kepu Zhang

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5. Streaming Hallucination Detection in Long Chain-of-Thought Reasoning
   ACL 2026 ·

   Haolang Lu

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6. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
   ACL 2026 · Zhongxiang Sun
7. LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
   SIGIR 2025 ·

   Xiaopeng Ye

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8. LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator
   WWW 2025 · Zhongxiang Sun
9. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
   SIGIR 2025 · Zhongxiang Sun
10. ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
    ICLR 2025 · Zhongxiang Sun
11. SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models
    CIKM 2025 ·

    Kepu Zhang

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12. Trigger3: Refining Query Correction via Adaptive Model Selector
    AAAI 2025 ·

    Kepu Zhang

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13. Effective In-Context Example Selection through Data Compression
    ACL 2024 · Zhongxiang Sun
14. Large Language Models Enhanced Collaborative Filtering
    CIKM 2024 · Zhongxiang Sun
15. TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
    CIKM 2024 ·

    Zihua Si

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16. To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
    SIGIR 2024 · Zhongxiang Sun