Who cites Gao Ming Huang
- Code over Words: Overcoming Semantic Inertia via Code-Grounded ReasoningFindings of the Association for Computational LinguisticsManjie Xu, Isabella Yin, Xinyi Tu, et al.2026
- Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
- Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Minghe Shen, Zhuo Zhi, Chonghan Liu, et al.2026
- Don't Tell the Answer, Truly Guide the Reasoning During RL RolloutsFindings of the Association for Computational LinguisticsXinyi Wang, Jinyi Han, Zishang Jiang, et al.2026
- Entropy Scheduling in Reinforcement Learning for Large Language ModelsFindings of the Association for Computational LinguisticsXingjin Wang, Howe Tissue, Lu Wang, et al.2026
- Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization ModelingFindings of the Association for Computational LinguisticsWantong Xie, Yinghao Chen, Yi-Xiang Hu, et al.2026
- EvoMemKG: An Evolvable Memory Agent for Multi-hop Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsShiyu Tian, Shuyue Xing, Zhuoxin Han, et al.2026
- FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
- GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-trainingFindings of the Association for Computational LinguisticsZhongwei Xie, Ruihao Liao, Zimo Wang, et al.2026
- Hybrid Self-evolving Structured Memory for Computer-Use AgentsFindings of the Association for Computational LinguisticsSibo Zhu, Wenyi WU, Kun Zhou, et al.2026
- KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
- Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
- MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement LearningFindings of the Association for Computational LinguisticsQianhao Yuan, Jie Lou, Zichao Li, et al.2026
- Mixed-Policy GRPO for Text-to-SQL with Off-Policy Data GenerationWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraMarko Sterbentz, Michael Glass, Nhan H Pham, et al.2026
- Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language ModelsFindings of the Association for Computational LinguisticsMengdie Flora Wang, Haochen Xie, Mun Young Kim, 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
- SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-MakingFindings of the Association for Computational LinguisticsTong Wang, Pei Xu, Shiyue Cao, et al.2026
- ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiasheng Zheng, Xin Zheng, Boxi Cao, et al.2026
- Self-Reflective Generation at Test TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Mu, Qixin Zhang, Zhiyong Wang, et al.2026
- SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience RetrievalFindings of the Association for Computational LinguisticsXin Xie, Dongyun Xue, Wuguannan Yao, et al.2026
- SPIDE: Serial and Parallel Intertwined Speculative DecodingFindings of the Association for Computational LinguisticsWenru Xu, Peixuan Xu, Ziqi Yang, et al.2026
- Stabilizing Efficient Reasoning with Step-Level Advantage SelectionFindings of the Association for Computational LinguisticsHan Wang, Xiaodong Yu, Jialian Wu, et al.2026
- SteuerLLM: Local specialized large language model for German tax law analysisarXiv:2602.11081 · Scientific Reports, Volume 16, 2026Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.2026
- SynthAgent: Adapting Web Agents with Synthetic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.2026
- Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
- Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
- Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature ModulationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, et al.2026
- Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
- Training-Free Test-Time Contrastive Learning for Large Language ModelsFindings of the Association for Computational LinguisticsKaiwen Zheng, Kai Zhou, Jinwu Hu, et al.2026
- Triviality Corrected Endogenous RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026
- Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math ReasoningFindings of the Association for Computational LinguisticsYongcan Yu, Lingxiao He, Jian Liang, et al.2026
- Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow OptimizationFindings of the Association for Computational LinguisticsHuimin Xu, Shuai Zhao, Xiaobao Wu, et al.2026
- When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026
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