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Tao Gui

Observed name: Gui, Tao
OpenAlex ID: A5139809977
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
2025 · Jun Zhao, Yongzhuo Yang, et al. · neural information processing systems · 1
MathCritique: Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision
2026 · Zhiheng Xi, Dingwen Yang, et al. · International Joint Conference on Artificial Intelligence
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EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training
2026 · Pan, Chengjun, Liu, Shichun, et al. · arXiv (Cornell University)
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MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
2026 · Zhiheng Xi, Yuhui Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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JFTA-Bench: Evaluate LLM’s Ability of Tracking and Analyzing Malfunctions Using Fault Trees
2026 · Yuhui Wang, Zhixiong Yang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
2026 · Ming Zhang, Yujiong Shen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
2026 · Binghai Wang, Yantao Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
2026 · Junzhe Wang, Zhiheng Xi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval
2026 · Caishuang Huang, Yang Qiao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
2026 · Dingwei Zhu, Shihan Dou, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
2026 · Yuming Yang, Mingyoung Lai, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
2026 · Jiahang Lin, Kai Hu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
2026 · Changhao Jiang, Jiahao Chen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
2026 · Jie Yang, Honglin Guo, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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AgentV-RL: Scaling Reward Modeling with Agentic Verifier
2026 · Jiazheng Zhang, Ziche Fu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
2026 · Hengyuan Zhang, Zhihao Zhang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
2026 · Deming Ding, Shichun Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling
2026 · Yifei Cao, Changhao Jiang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
2026 · Changhao Jiang, Ming Zhang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
2026 · Shaofan Liu, Guoqiang Zhang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
2026 · Xin Guo, Zhiheng Xi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
2026 · Zhiheng Xi, Dingwen Yang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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RLPgR: Reinforcement Learning from Dependency-Aware Progress Rewards
2026 · Shaofan Liu, Tingyi Yang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Pre-Trained Policy Discriminators are General Reward Models
2025 · Shihan Dou, Shichun Liu, et al. · neural information processing systems
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Works count: 24
Citation count: 1
H-index: 1
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