Reference-free evaluation of reasoning in open-ended question answering reveals a reasoning-based auditing framework that decomposes reasoning traces into segments and labels premise-target relations with natural language inference.
Read the original at arxiv.org→arXiv:2607.19678v1 Announce Type: new Abstract: AI-generated answers in high-stakes domains are often fluent but difficult to verify, especially when they contain multi-step reasoning rather than a single final...
Original headline: "Reference-Free Evaluation of Reasoning in Open-Ended Question Answering"
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- Jul 23, 04:00 UTC arXiv cs.CL lead source Reference-Free Evaluation of Reasoning in Open-Ended Question Answering