Fine-Grained Multi Image Object Hallucination Benchmark
Multimodal Large Language Models (MLLMs) are increasingly deployed in multi-image scenarios requiring complex reasoning across visual contexts. However, current MLLMs remain fundamentally limited by object hallucination-generating plausible yet factually inconsistent descriptions about objects. Existing benchmarks, designed primarily for single-image settings or providing only high-level…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
