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cs.CV2024★ 1 cited
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
Tinghui Zhu, Qin Liu, Fei Wang +2
Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs. However, these models are prone to parametric kno…
cs.CV2024★ 1 cited
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Fei Wang, Xingyu Fu, James Y. Huang +18
We introduce MuirBench, a comprehensive benchmark that focuses on robust multi-image understanding capabilities of multimodal LLMs. MuirBench consists of 12 diverse multi-image tas…