Selective Reasoning for Typed Decision Models: When to Start, Read, and Stop
cs.CL
Submitted: 2026-10-14
Updated: 2026-10-14
Comments: 24 pages, 4 figures. Both authors contributed equally. Code and evaluation materials: https://github.com/binzheng-joey/selective-reasoning
Code: https://github.com/binzheng-joey/selective-reasoning
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
- Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning Models
- BLADE: Boundary-Expanded and Layer-Adaptive Dynamic Exit for Efficient LLM Reasoning
- Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
- Dynamic Early Exit in Reasoning Models
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