AI RESEARCH
CL-VISTA: Benchmarking Continual Learning in Video Large Language Models
arXiv CS.CV
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ArXi:2604.00677v1 Announce Type: new Video Large Language Models (Video-LLMs) require continual learning to adapt to non-stationary real-world data. However, existing benchmarks fall short of evaluating modern foundation models: many still rely on models without large-scale pre-