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cs.CL2026
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
Maty Bohacek, Nino Scherrer, Nicholas Dufour +3
The evaluation of large language models relies heavily on standardized benchmarks. These benchmarks provide useful aggregated metrics, but can obscure (i) particular sub-areas wher…
cs.CL2025
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
Tomas Peterka, Matyas Bohacek
Out-of-context and misattributed imagery is the leading form of media manipulation in today's misinformation and disinformation landscape. The existing methods attempting to detect…
cs.CL2025
Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories
Tomas Peterka, Matyas Bohacek
The most effective misinformation campaigns are multimodal, often combining text with images and videos taken out of context -- or fabricating them entirely -- to support a given n…