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Xiaojun Wan

Peking University, Institute of Computer Science and Technology, MOE Key Laboratory of Computational Linguistics, Beijing, China

44 papers at tracked venues · 28 at CORE A* · active 2024–2026

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Venues

ACL ×22EMNLP ×7NAACL ×6AAAI ×4CIKM ×3ICML ×1NeurIPS ×1

Frequent coauthors

Baizhou Huang
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Xinyu Hu
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Xunjian Yin
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Fan Xu
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Xiaofan Zheng
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Xu Zhang
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Zhenliang Zhang
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Jiatao Li
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Junzhe Zhang
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Mingqi Gao
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Huixuan Zhang
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Jie Ruan
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Papers

  1. CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria
    ACL 2026 ·
    Xinyu Hu
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  2. DecoCal: Decoding with Calibration in Diffusion Large Language Models
    ACL 2026 ·
    Fan Xu
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  3. Edit-Aware Reward Modeling for Chinese Grammatical Error Correction
    ACL 2026 ·
    Yilin Li
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  4. From TDMA to CDMA: A Multi-bit Watermark for Diffusion Language Models
    ACL 2026 ·
    Baizhou Huang
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  5. Ghost in the Shell: Synonym-Aware Logit Shaping Fingerprint for Copyright Protection of Large Vision-Language Models
    ACL 2026 ·
    Xiaofan Zheng
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  6. HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy
    ACL 2026 ·
    Fan Xu
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  7. JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
    ACL 2026 ·
    Fan Xu
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  8. LEDOM: Reverse Language Model
    ACL 2026 ·
    Xunjian Yin
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  9. Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text
    ACL 2026 ·
    Junzhe Zhang
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  10. QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs
    ACL 2026 ·
    Junlin Zhu
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  11. RST-Guarder: Enhancing Long-Context Robustness for Safeguards via RST Parsing and Probabilistic Inference
    ACL 2026 ·
    Xu Zhang
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  12. SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs
    AAAI 2026 ·
    Zhenliang Zhang
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  13. UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint
    ACL 2026 ·
    Xiaofan Zheng
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  14. A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
    ACL 2025 ·
    Xinyu Hu
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  15. Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
    NAACL 2025 ·
    Mingqi Gao
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  16. B⁴: A Black-Box Scrubbing Attack on LLM Watermarks
    NAACL 2025 ·
    Baizhou Huang
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  17. C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation
    CIKM 2025 ·
    Xu Zhang
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  18. DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models
    EMNLP 2025 ·
    Xu Zhang
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  19. DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
    AAAI 2025 ·
    Jinxiang Xie
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  20. Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks
    NeurIPS 2025 ·
    Huanming Shen
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  21. Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
    NAACL 2025 ·
    Jiatao Li
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  22. Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models
    CIKM 2025 ·
    Zhenliang Zhang
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  23. Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
    EMNLP 2025 ·
    Boyu Jia
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  24. Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement
    ACL 2025 ·
    Xunjian Yin
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  25. ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
    ACL 2025 ·
    Zhenliang Zhang
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  26. MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
    ACL 2025 ·
    Junzhe Zhang
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  27. R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models
    EMNLP 2025 ·
    Huixuan Zhang
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  28. Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference
    NAACL 2025 ·
    Mingqi Gao
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  29. Towards A "Novel" Benchmark: Evaluating Literary Fiction with Large Language Models
    ACL 2025 ·
    Wenqing Wang
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  30. Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models
    EMNLP 2025 ·
    Xiaofan Zheng
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  31. TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization
    ACL 2025 ·
    Baizhou Huang
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  32. WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness
    NAACL 2025 ·
    Baizhou Huang
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  33. Where Do LLMs Go Wrong? Diagnosing Automated Peer Review via Aspect-Guided Multi-Level Perturbation
    CIKM 2025 ·
    Jiatao Li
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  34. Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
    ACL 2025 ·
    Jiatao Li
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  35. Are LLM-based Evaluators Confusing NLG Quality Criteria?
    ACL 2024 ·
    Xinyu Hu
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  36. Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
    ACL 2024 ·
    Xunjian Yin
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  37. Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
    AAAI 2024 ·
    Jie Ruan
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  38. Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation
    NAACL 2024 ·
    Jie Ruan
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  39. Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
    ACL 2024 ·
    Baizhou Huang
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  40. History Matters: Temporal Knowledge Editing in Large Language Model
    AAAI 2024 ·
    Xunjian Yin
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  41. PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
    EMNLP 2024 ·
    Huixuan Zhang
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  42. Selecting Large Language Model to Fine-tune via Rectified Scaling Law
    ICML 2024 ·
    Haowei Lin
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  43. Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
    EMNLP 2024 ·
    Xiao Pu
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  44. Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
    EMNLP 2024 ·
    Xinyu Hu
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