5 papers
Is a Picture Worth a Thousand Words? Adaptive Multimodal Fact-Checking with Visual Evidence Necessity
Jaeyoon Jung, Yejun Yoon, Kunwoo Park
Automated fact-checking is a crucial task that supports a responsible information ecosystem. While recent research has progressed from text-only to multimodal fact-checking, a prev…
VILLAIN at AVerImaTeC: Verifying Image-Text Claims via Multi-Agent Collaboration
Jaeyoon Jung, Yejun Yoon, Kunwoo Park
This paper describes VILLAIN, a multimodal fact-checking system that verifies image-text claims through prompt-based multi-agent collaboration. For the AVerImaTeC shared task, VILL…
Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification
Yejun Yoon, Jaeyoon Jung, Seunghyun Yoon +1
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…
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion
Yejun Yoon, Jaeyoon Jung, Seunghyun Yoon +1
Query expansion methods powered by large language models (LLMs) have demonstrated effectiveness in zero-shot retrieval tasks. These methods assume that LLMs can generate hypothetic…
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
Yejun Yoon, Jaeyoon Jung, Seunghyun Yoon +1
To tackle the AVeriTeC shared task hosted by the FEVER-24, we introduce a system that only employs publicly available large language models (LLMs) for each step of automated fact-c…