Papers by Yangsong Lan
CRISP: Compressing Redundancy in Chain-of-Thought via Intrinsic Saliency Pruning (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing approaches to compress CoT with external compressors fail to align with the model’s internal reasoning dynamics, resulting in the loss of critical logical steps. |
| Approach: | They propose a framework that exploits the model’s intrinsic saliency to compress CoT by exploiting its reasoning termination token . |
| Outcome: | The proposed framework reduces redundancy in reasoning chain by exploiting the model’s intrinsic saliency. |