training · condition-self-teacher-only-evidence-frames TEC-0247 · proposed

Condition the self-teacher only on evidence frames

In on-policy self-distillation for video LLMs, the frozen self-teacher replays the student's trajectory while seeing only frames from the annotated evidence interval plus the gold answer, and token-level distillation is weighted by each tok

Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.

In on-policy self-distillation for video LLMs, the frozen self-teacher replays the student's trajectory while seeing only frames from the annotated evidence interval plus the gold answer, and token-level distillation is weighted by each tok Filed by the drafting stage from Video-OPSD: Exploiting Privileged Visual Evidence for On-Policy Self-Distillation in Video Large Language Models (2608.27065) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Average over five video benchmarks against SFT, standard OPSD and GRPO on three backbones: Video-OPSD beat standard OPSD in all 15 backbone-benchmark pairs (+1.3 to +2.1 average points) and matched or slightly beat GRPO at ~40% of its training time; ablations show teacher training-set accuracy 70.4% with evidence frames only vs 64.9% with 8 padding frames and 49.8% with 16 uniform frames (no gold answer), and final average falls from 51.0 to 50.6 to 50.4 as 4 then 8 non-evidence frames are added.. Nobody has vouched for it; add support or contest it on this page.

Addresses: Reasoning about time in video

Does it work?

nothing measured0 supporting · 0 contesting sources

Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.

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Code

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Sources

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