NeurIPS "large reasoning models" Papers
11 papers found
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
Chen Qian, Dongrui Liu, Hao Wen et al.
NeurIPS 2025arXiv:2506.02867
22
citations
Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
Sohyun An, Ruochen Wang, Tianyi Zhou et al.
NeurIPS 2025poster
11
citations
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
Haibo Jin, Peiyan Zhang, Man Luo et al.
NeurIPS 2025poster
On Reasoning Strength Planning in Large Reasoning Models
Leheng Sheng, An Zhang, Zijian Wu et al.
NeurIPS 2025posterarXiv:2506.08390
9
citations
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Rui Pan, Yinwei Dai, Zhihao Zhang et al.
NeurIPS 2025posterarXiv:2504.07891
35
citations
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh vahid et al.
NeurIPS 2025posterarXiv:2506.06941
257
citations
Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning
Yihong Tang, Kehai Chen, Muyun Yang et al.
NeurIPS 2025posterarXiv:2506.01748
5
citations
Think Only When You Need with Large Hybrid-Reasoning Models
Lingjie Jiang, Xun Wu, Shaohan Huang et al.
NeurIPS 2025posterarXiv:2505.14631
35
citations
Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
Gouki Minegishi, Hiroki Furuta, Takeshi Kojima et al.
NeurIPS 2025posterarXiv:2506.05744
13
citations
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms
Baran Hashemi, Kurt Pasque, Chris Teska et al.
NeurIPS 2025posterarXiv:2505.17190
4
citations
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Xiaoxi Li, Jiajie Jin, Guanting Dong et al.
NeurIPS 2025posterarXiv:2504.21776
174
citations