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NeurIPS 2026NortheasternCarnegie MellonMicrosoft ResearchNortheastern University, ChinaFudanRL for LLMs

What are Key Factors for Updates in RL for LLM Reasoning?

Peidong Wang, Demi Wang, Xufang Luo, Jiahang Xu and 4 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026KAISTKorea Advanced Institute of ScieIBM Research - ChinaFudanRL for LLMs

Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR

RLRT reverses teacher signals in self-distillation to reinforce student reasoning tokens on successful rollouts, substantially outperforming exploration baselines across Qwen3 models.

Jeonghye Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
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medium 7/10
strict 1/5