Reasoning Chains
Reasoning Chains is a methodological construct in visual question answering that decomposes complex inference tasks into sequential, interpretable steps of logical or semantic operations to bridge the gap between perceptual input and high-level cognitive reasoning.
92
Publications
9.6K
Citations
379
Authors
89
Institutions
Publications per year
2017–2026
77
Variants
Chain Of ThoughtCot
Parents
92
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang et al. · Nature · 2025 · 568 citations · Full text
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li et al. · arXiv (Cornell University) · 2022 · 235 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
590 citations
Tsinghua University
Beijing, China
4 h-index
14 publications
1.2K citations

Sun Yat-sen University
Guangzhou, China
4 h-index
16 publications
263 citations
ETH Zurich
Zurich, Switzerland
3 h-index
15 publications
2.8K citations
Singapore Management University
Singapore, Singapore
3 h-index
3 publications
97 citations
Tencent (China)
Shenzhen, China
2 h-index
2 publications
73 citations
Allen Institute
Seattle, United States
2 h-index
4 publications
114 citations
Google (United States)
Mountain View, United States
2 h-index
6 publications
158 citations
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Repository · 33 publications · 6.6K citations
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Conference · 4 publications · 590 citations
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2 publications · 153 citations
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ACP · 2 publications · 99 citations
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2 publications · 50 citations
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