Abstract
How can system-generated responses be efficiently verified, especially in the high-stakes biomedical domain? To address this challenge, we introduce eTracer, a plug-and-play framework that enables traceable text generation by grounding claims against contextual evidence. Through post-hoc grounding, each response claim is aligned with contextual evidence that either supports or contradicts it. Building on claim-level grounding results, eTracer not only enables users to precisely trace responses back to their contextual source but also quantifies response faithfulness, thereby enabling the verifiability and trustworthiness of generated responses. Experiments show that our claim-level grounding approach alleviates the limitations of conventional grounding methods in aligning generated statements with contextual sentence-level evidence, resulting in substantial improvements in overall grounding quality and user verification efficiency. The code and data are available at this https URL.
Abstract (translated)
如何高效验证系统生成的响应，尤其是在高风险的生命科学领域？为应对这一挑战，我们引入了eTracer，这是一个即插即用框架，通过将声明与上下文证据进行对齐来实现可追溯的文本生成。通过事后对齐方式，每个响应声明都会与其支持或反驳它的上下文证据相匹配。基于声明级别的对齐结果，eTracer不仅使用户能够准确地追踪响应到其上下文来源，而且还量化了响应的真实性，从而实现了生成响应的验证性和可信度。实验表明，我们提出的声明级别对齐方法缓解了传统对齐方法在将生成语句与上下文句子级证据相匹配方面的局限性，这极大地提高了整体对齐质量和用户验证效率。代码和数据可在以下链接获取：[此URL]（请将此处的"this https URL"替换为实际提供的有效链接）。
URL
https://arxiv.org/abs/2601.03669
