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cs.CV2025
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language Models
Peter Carragher, Nikitha Rao, Abhinand Jha +2
Vision language models (VLM) demonstrate sophisticated multimodal reasoning yet are prone to hallucination when confronted with knowledge conflicts, impeding their deployment in in…
cs.CV2024
Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark
Evan M. Williams, Kathleen M. Carley
We evaluate the zero-shot ability of GPT-4 and LLaVa to perform simple Visual Network Analysis (VNA) tasks on small-scale graphs. We evaluate the Vision Language Models (VLMs) on 5…