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Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness

Paper recorded by Signals 4 on 2026-10-06 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-06 on arXiv · recorded by Signals 4 on 2026-10-07

Category: cs.CL · 自然语言处理 · first seen 2026-10-07

Abstract

Streaming video-language models must decide not only what to answer, but whether the evidence needed for the current question has arrived. Existing systems learn that decision as a separate trigger; we ask whether an unmodified model already computes it. We show that frozen VideoLLMs carry a linearly readable evidence-readiness signal, labelled from timestamped evidence rather than from model outp

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#319 most recent of 660 cs.CL papers we have recorded · ↑ newer: Incidental information contaminates patient notes and disrupts clinica · ↓ older: PlotGround: Grounding Plot Digitization in Real Scientific Figures and
Cite this page: Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness: the #319 most recent of 660 cs.CL papers we have recorded (as of 2026-10-06). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/have-i-seen-enough-frozen-video-language-models-encode-evidence-readiness.html
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