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Tongran Liu

9 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×3ACL ×2EMNLP ×2ICML ×1NeurIPS ×1

Frequent coauthors

Chenglong Wang
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×6
Yifu Huo
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×2
Yongyu Mu
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×1

Papers

  1. Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
    AAAI 2026 ·
    Chenglong Wang
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  2. SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
    ACL 2026 ·
    Yifu Huo
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  3. GRAM: A Generative Foundation Reward Model for Reward Generalization
    ICML 2025 ·
    Chenglong Wang
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  4. HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
    EMNLP 2025 ·
    Yifu Huo
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  5. MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
    NeurIPS 2025 ·
    Chenglong Wang
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  6. RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
    AAAI 2025 ·
    Chenglong Wang
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  7. ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
    AAAI 2024 ·
    Chenglong Wang
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  8. Hybrid Alignment Training for Large Language Models
    ACL 2024 ·
    Chenglong Wang
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  9. Revealing the Parallel Multilingual Learning within Large Language Models
    EMNLP 2024 ·
    Yongyu Mu
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