AI RESEARCH
SiLVR: A Simple Language-based Video Reasoning Framework
arXiv CS.CV
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ArXi:2505.24869v3 Announce Type: replace Recent advances in test-time optimization have led to remarkable reasoning capabilities in Large Language Models (LLMs), enabling them to solve highly complex problems in math and coding. However, the reasoning capabilities of multimodal LLMs (MLLMs) still significantly lag, especially for complex video-language tasks. To address this issue, we present SILVR, a Simple Language-based Video Reasoning framework that decomposes complex video understanding into two stages.