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Showing papers from Department of Automation, Tsinghua University Show all papers

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NeurIPS 2026nudt.edu.cnNational University of Defense TTsinghuaIndependent ResearcherDepartment of Automation, TsinghModel-based RL

Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling

Jiarong Wen, Qi Tao, Zhang Kaiyu, Yun Qu and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026TsinghuaDepartment of Automation, TsinghTsinghua University, TsinghuaU Maryland, College ParkIndependent ResearcherRL for LLMs

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex

Listwise Policy Optimization explicitly projects policies onto target distributions over response simplices via divergence minimization, improving reasoning performance and stability over group-based policy gradients.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 67 on Hugging Face

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NeurIPS 2026TsinghuaSouthern University of Science aQiuzhen College, TsinghuaDepartment of Automation, TsinghTsinghuaRL for LLMs

Boosting LLM Reasoning via Human-Inspired Reward Shaping

T2T dynamically rewards exploration on failed reasoning attempts and brevity on correct ones, significantly boosting LLM math reasoning over GRPO.

Wenze Lin, Zhen Yang, Xitai Jiang, Xiaoteng Ma and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
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