2026
Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning
ICML 2026poster
Large language models (LLMs) using chain-of-thought reasoning often waste substantial compute by producing long, incorrect responses. Abstention can mitigate this by withholding outputs unlikely to be correct. While most abstention methods decide to withhold outputs before or after generation, dynam…