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Seyed Mahed Mousavi

2 accepted papers

2025

CIVET: Systematic Evaluation of Understanding in VLMs

EMNLP 2025

While Vision-Language Models (VLMs) have achieved competitive performance in various tasks, their comprehension of the underlying structure and semantics of a scene remains understudied. To investigate the understanding of VLMs, we study their capability regarding object properties and relations in

Cited by 0SourcePDFScholar
2024

DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs

EMNLP 2024finding

LLMs acquire knowledge from massive data snapshots collected at different timestamps. Their knowledge is then commonly evaluated using static benchmarks. However, factual knowledge is generally subject to time-sensitive changes, and static benchmarks cannot address those cases. We present an approac…