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.
Cite
@article{arxiv.2507.11004,
title = {Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification},
author = {Yejun Yoon and Jaeyoon Jung and Seunghyun Yoon and Kunwoo Park},
journal= {arXiv preprint arXiv:2507.11004},
year = {2025}
}