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cs.CL2025
Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak
Lucia Makaiova, Martin Fajcik, Antonin Jarolim
Document-level claim extraction remains an open challenge in the field of fact-checking, and subsequently, methods for evaluating extracted claims have received limited attention.…
cs.CL2025
Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
Antonín Jarolím, Martin Fajčík, Lucia Makaiová
Misinformation frequently spreads in user comments under online news articles, highlighting the need for effective methods to detect factually incorrect information. To strongly su…
cs.CL2025
On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
Jan Kvapil, Martin Fajcik
This work-in-progress investigates the memorization, creativity, and nonsense found in cooking recipes generated from Large Language Models (LLMs). Precisely, we aim (i) to analyze…