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Awesome CoT β curated papers, datasets & benchmarks Β· Awesome Large Language Models
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14 papers tagged CoT β re-sort below
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14 papers Β· trending (default)
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MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
(2026)
Honglin Lin et al.
1.94
Thinking Preference Optimization
(2025)
Wang Yang et al.
1.28
START: Self-taught Reasoner with Tools
(2025)
Chengpeng Li et al.
1.28
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
(2025)
Yaoting Wang et al.
1.28
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
(2025)
Seongyun Lee et al.
1.28
ARM: Adaptive Reasoning Model
(2025)
Siye Wu et al.
1.28
Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
(2025)
Junhao Cheng et al.
1.28
CoRT: Code-integrated Reasoning within Thinking
(2025)
Chengpeng Li et al.
1.28
Compressing Chain-of-Thought in LLMs via Step Entropy
(2025)
Zeju Li et al.
1.28
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
(2025)
Wenhao Zeng et al.
1.28
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
(2025)
Zhenpeng Su et al.
1.28
AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models
(2025)
Zihao Zhu et al.
1.28
PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments
(2025)
Weijie Zhou et al.
1.28
Rethinking Chain-of-Thought Reasoning for Videos
(2025)
Yiwu Zhong et al.
1.28