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cs.CL2026
PetQA: Benchmarking Veterinary Knowledge and Clinical Reasoning
Taegyun Kim, Youngwook Ham, Jungwook Rhim +3
We introduce PetQA, a Korean long-form question-answering (QA) benchmark for evaluating veterinary knowledge and clinical reasoning in large language models (LLMs) and large vision…
cs.CL2026
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…
cs.CL2026
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…