Zhiliang Tian

Venues

Frequent coauthors

Papers

1. CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher
   ACL 2026 ·

   Tianlun Liu

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2. DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection
   ACL 2026 ·

   Tianle Liu

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3. DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
   AAAI 2026 ·

   Xinyi Wang

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4. Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation
   ACL 2026 ·

   Hongyan Wu

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5. KnowFC: Navigating Knowledge Conflicts in Large Language Model-based Fact-Checking
   WSDM 2026 ·

   Yue Zhang

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6. Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs' Hallucinations
   ACL 2026 ·

   Xinyue Fang

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7. Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs
   WWW 2026 ·

   Zhizhao Liu

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8. WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety
   AAAI 2026 ·

   Shilong Pan

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9. AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models
   ACL 2025 ·

   Shilong Pan

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10. Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning
    ACL 2025 ·

    Haoran Li

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11. Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues
    ACL 2025 ·

    Haiyang Wang

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12. Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
    EMNLP 2025 ·

    Qiunan Du

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13. DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation
    ACL 2025 ·

    Zhonghao Sun

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14. DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference
    ACL 2025 ·

    Juhua Zhang

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15. Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference
    EMNLP 2025 ·

    Libo Zhang

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16. GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection
    EMNLP 2025 ·

    Zejiang He

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17. Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
    NeurIPS 2025 ·

    Quntian Fang

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18. LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
    ACL 2025 · Zhiliang Tian
19. Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis
    WWW 2025 ·

    Zhihua Wen

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20. Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
    AAAI 2025 ·

    Xingzhi Zhou

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21. Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
    AAAI 2025 ·

    Xinyue Fang

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22. 360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System
    ACL 2024 ·

    Shen Gao

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23. Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
    EMNLP 2024 ·

    Yuxuan Guo

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24. POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
    ACL 2024 ·

    Shilong Pan

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25. Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
    NeurIPS 2024 ·

    Zhihua Wen

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