Empirical study examining whether chain-of-thought reasoning can be compressed while maintaining performance in language models. Research on the fundamental trade-off between reasoning length and inference efficiency.
Research
Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression
Empirical research demonstrates that chain-of-thought reasoning can be compressed without losing performance, offering significant inference efficiency gains for language models.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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