Papers with human-like reasoning strategies

2 papers
Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations (2026.acl-long)

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Challenge: Existing resources often fail to provide extensive reasoning problems with coherent CoT processes distilled from multiple teacher models.
Approach: They propose a large-scale dataset featuring 2 million CoT processes generated by multiple powerful LRMs.
Outcome: The proposed dataset features 2 million CoT processes and is validated by multiple powerful LRMs.
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning (2023.emnlp-main)

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Challenge: Pre-trained language models have shown impressive performance in various language tasks, but are prone to spurious correlations and illusory information.
Approach: They propose to use pre-trained language models to justify decisions with formalized, coherent reasoning chains.
Outcome: The proposed strategies improve coherence of rationalizations yielding state-of-the-art results on Tiered Reasoning for Intuitive Physics (TRIP).

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