arXiv cs.AI
· Papers
Shorter Reasoning, Earlier Answers? An Evaluation of Reasoning Interfaces
arXiv:2608.03401v1 Announce Type: cross Abstract: Large language models often reason at length before answering, increasing cost and latency. Prompts and trained settings can shorten this reasoning, but a shorter trace may only show that the model stopped sooner. Here, we evaluate paired runs of the same question at ma