AI RESEARCH
UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks
arXiv CS.CV
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ArXi:2604.23145v1 Announce Type: new Video Question Answering (VideoQA) demands models that jointly reason over spatial, temporal, and linguistic cues. However, the task's inherent complexity often requires multi-step reasoning that current large multimodal models (LMMs) perform implicitly, leaving their internal decision process opaque. In contrast, large reasoning models (LRMs) explicitly generate intermediate logical steps that enhance interpretability and can improve multi-hop reasoning accuracy.