Wei Shen

Venues

Frequent coauthors

Papers

1. Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
   AAAI 2026 ·

   Junshu Pan

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2. SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution
   ACL 2026 ·

   Zhenyu He

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3. A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
   NeurIPS 2025 · Wei Shen
4. Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
   NeurIPS 2025 · Wei Shen
5. Joint Enhancement of Relational Reasoning for Long-Context LLMs
   EMNLP 2025 ·

   Zhirui Chen

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6. Learning LLM-as-a-Judge for Preference Alignment
   ICLR 2025 ·

   Ziyi Ye

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7. Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads
   EMNLP 2025 ·

   Yingxue Zhou

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8. Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding
   ACL 2025 ·

   Zikai Xiao

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9. On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
   ICML 2025 · Wei Shen
10. OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework
    EMNLP 2025 ·

    Jian Hu

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11. RMB: Comprehensively benchmarking reward models in LLM alignment
    ICLR 2025 ·

    Enyu Zhou

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12. Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
    ICLR 2024 ·

    Rui Zheng

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13. Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
    ICML 2024 ·

    Songyang Gao

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14. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
    ACL 2024 ·

    Shihan Dou

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15. Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
    NeurIPS 2024 ·

    Xiaoying Zhang

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16. Reward Modeling Requires Automatic Adjustment Based on Data Quality
    EMNLP 2024 ·

    Binghai Wang

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17. Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
    AISTATS 2024 · Wei Shen
18. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
    ICML 2024 ·

    Zhiheng Xi

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19. ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
    AAAI 2024 ·

    Danning Lao

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