Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866916844540002304 |
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| author | Yoon, Yejun Jung, Jaeyoon Yoon, Seunghyun Park, Kunwoo |
| author_facet | Yoon, Yejun Jung, Jaeyoon Yoon, Seunghyun Park, Kunwoo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_11004 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification Yoon, Yejun Jung, Jaeyoon Yoon, Seunghyun Park, Kunwoo Computation and Language 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. |
| title | Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2507.11004 |