Papers
arxiv:2507.11004

Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification

Published on Jul 15
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Abstract

HerO 2 enhances fact verification by improving evidence quality, optimizing veracity prediction, and integrating updated language models, achieving high efficiency and strong performance.

AI-generated summary

This paper presents HerO 2, Team HUMANE's system for the AVeriTeC shared task at the FEVER-25 workshop. HerO 2 is an enhanced version of HerO, the best-performing open-source model from the previous year's challenge. It improves evidence quality through document summarization and answer reformulation, optimizes veracity prediction via post-training quantization under computational constraints, and enhances overall system performance by integrating updated language model (LM) backbones. HerO 2 ranked second on the leaderboard while achieving the shortest runtime among the top three systems, demonstrating both high efficiency and strong potential for real-world fact verification. The code is available at https://github.com/ssu-humane/HerO2.

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