2025-06-26 ジョンズ・ホプキンス大学（JHU）
＜関連情報＞
それが最終回答か？テスト時間のスケーリングが選択的質問応答を向上させる Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
William Jurayj, Jeffrey Cheng, Benjamin Van Durme
arXiv Submitted on 19 Feb 2025
DOI:https://doi.org/10.48550/arXiv.2502.13962
Abstract
Scaling the test-time compute of large language models has demonstrated impressive performance on reasoning benchmarks. However, existing evaluations of test-time scaling make the strong assumption that a reasoning system should always give an answer to any question provided. This overlooks concerns about whether a model is confident in its answer, and whether it is appropriate to always provide a response. To address these concerns, we extract confidence scores during reasoning for thresholding model responses. We find that increasing compute budget at inference time not only helps models answer more questions correctly, but also increases confidence in correct responses. We then extend the current paradigm of zero-risk responses during evaluation by considering settings with non-zero levels of response risk, and suggest a recipe for reporting evaluations under these settings.
