AI RESEARCH
A Benchmarking Methodology to Assess Open-Source Video Large Language Models in Automatic Captioning of News Videos
arXiv CS.CV
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ArXi:2603.27662v1 Announce Type: new News videos are among the most prevalent content types produced by television stations and online streaming platforms, yet generating textual descriptions to facilitate indexing and retrieval largely remains a manual process. Video Large Language Models (VidLLMs) offer significant potential to automate this task, but a comprehensive evaluation in the news domain is still lacking.