AI RESEARCH
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models
arXiv CS.CV
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ArXi:2605.09904v1 Announce Type: new Video large language models (Video-LLMs) have achieved remarkable progress in general video understanding, yet their ability to maintain temporal object consistency remains insufficiently explored. Existing benchmarks primarily focus on event recognition, action understanding, or coarse temporal reasoning, but rarely evaluate whether a model can consistently preserve the identity, state, and temporal continuity of the same object across occlusion, disappearance, reappearance, state transitions, and cross-object interactions.