Construting Reverse Thinking: Developing Large Language Models' Reverse Thingking Ability
cs.AI
Submitted: 2026-09-21
Updated: 2026-09-21
Comments: 15 pages, 4 figures, 3 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- NEX: Neuron Explore-Exploit Scoring for Label-Free Chain-of-Thought Selection and Model Ranking
- Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
- Solving math word problems with process- and outcome-based feedback
- Critique-out-Loud Reward Models
- Enhancing Self-Correction in Large Language Models through Multi-Perspective Reflection
- Kimi k1.5: Scaling Reinforcement Learning with LLMs
- Qwen3 Technical Report
- Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
- RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought
- Thinking Forward and Backward: Effective Backward Planning with Large Language Models
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