Chenglong Wang

Venues

Frequent coauthors

Papers

1. GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
   AAAI 2026 · Chenglong Wang
2. On the Emotion Understanding of Synthesized Speech
   ACL 2026 ·

   Yuan Ge

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3. Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
   AAAI 2026 · Chenglong Wang
4. RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment
   ACL 2026 ·

   Yingfeng Luo

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5. SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
   ACL 2026 · Chenglong Wang
6. SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
   ACL 2026 ·

   Yifu Huo

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7. SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
   AAAI 2026 ·

   Yuan Ge

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8. GRAM: A Generative Foundation Reward Model for Reward Generalization
   ICML 2025 · Chenglong Wang
9. HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
   EMNLP 2025 ·

   Yifu Huo

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10. MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
    NeurIPS 2025 · Chenglong Wang
11. RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
    AAAI 2025 · Chenglong Wang
12. Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
    EMNLP 2025 ·

    Kaiyan Chang

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13. ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
    AAAI 2024 · Chenglong Wang
14. Hybrid Alignment Training for Large Language Models
    ACL 2024 · Chenglong Wang
15. Revealing the Parallel Multilingual Learning within Large Language Models
    EMNLP 2024 ·

    Yongyu Mu

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