AI RESEARCH
TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
arXiv CS.CV
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ArXi:2603.09696v1 Announce Type: new Surgical Video Question Answering (VideoQA) requires accurate temporal grounding while remaining robust to natural variation in how clinicians phrase questions, where linguistic bias can arise. Standard Parameter Efficient Fine Tuning (PEFT) methods adapt pretrained projections without explicitly modeling frame-to-frame interactions within the adaptation pathway, limiting their ability to exploit sparse temporal evidence. We