Who cites Lin Yan
- OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkarXiv:2405.11143Jian Hu, Xibin Wu, Wei Shen, et al.2024 · 140 citations
- REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage NormalizationarXiv:2501.03262Jian Hu, Jason Klein Liu, Haotian Xu, et al.2025 · 104 citations
- A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
- VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning TasksarXiv:2504.05118Yu Yue, Yufeng Yuan, Qiying Yu, et al.2025 · 68 citations
- Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
- Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement LearningarXiv:2504.13914ByteDance Seed, Jiaze Chen, Tiantian Fan, et al.2025 · 62 citations
- A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
- A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to ReproducibilityarXiv:2504.07086Andreas Hochlehnert, Hardik Bhatnagar, Vishaal Udandarao, et al.2025 · 36 citations
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
- CodePRM: Execution Feedback-enhanced Process Reward Model for Code GenerationFindings of the Association for Computational LinguisticsQingyao Li, Xinyi Dai, Xiangyang Li, et al.2025 · 15 citations
- AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yun He, Wenzhe Li, Hejia Zhang, et al.2026 · 9 citations
- Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple ActionsAnnual Meeting of the Association for Computational Linguistics (ACL)Guo Gan, Yuxuan Ding, Cong Chen, et al.2026 · 7 citations
- Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dadi Guo, Jiayu Liu, Zhiyuan Fan, et al.2026 · 5 citations
- Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
- Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool InteractionsFindings of the Association for Computational LinguisticsJunhao Su, Yuanliang Wan, Junwei Yang, et al.2026 · 2 citations
- OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
- PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric RecordsAnnual Meeting of the Association for Computational Linguistics (ACL)Yibo Lyu, Gongwei Chen, Rui Shao, et al.2026 · 2 citations
- ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Jihong Wang, Jiamu Zhou, Weiming Zhang, et al.2026 · 1 citation
- CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Teng Pan, Yuchen Yan, Zixuan Wang, et al.2026 · 1 citation
- From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy AssimilationAnnual Meeting of the Association for Computational Linguistics (ACL)Zezhou Wang, Ziyun Zhang, Xiaoyi Zhang, et al.2026 · 1 citation
- A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026
- Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual LearningFindings of the Association for Computational LinguisticsZheng Wu, Xingyu Lou, Xinbei Ma, et al.2026
- Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward ModelsFindings of the Association for Computational LinguisticsQiyuan Zhang, Yufei Wang, Tianhe Wu, et al.2026
- Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk ClassificationWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECZhihao Shao, Ryo Sekizaki, Shengzhou Yi, et al.2026
- MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Sun, Jiwen Zhang, Siyuan Wang, et al.2026
- NaturalGAIA: A Verifiable Benchmark and Hierarchical Framework for Long-Horizon GUI TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Zheng, Tianle Cui, Taoran Wang, et al.2026
- OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Bowen Yang, Kaiming Jin, Zhenyu Wu, et al.2026
- Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
- Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement LearningFindings of the Association for Computational LinguisticsXiaoyun Zhang, Xiaojian Yuan, Di Huang, et al.2026
- SeDev: Structured Semantic Exploration for LLM-Driven Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ronghui Yang, Jie Liu, Jiajie Zeng, et al.2026
- TVWorld: Foundations for Remote-Control TV AgentsFindings of the Association for Computational LinguisticsZhantao Ma, Quanfeng Lu, Shuai Zhong, et al.2026
- Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich ImagesFindings of the Association for Computational LinguisticsShijie Zhou, Jihyung Kil, Ming Li, et al.2026
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