mix-reversed-video-rollouts-into-grpo-groups TEC-0151 · proposedMix reversed-video rollouts into GRPO groups
During RL post-training of a video model, each group of sampled responses contains mostly forward-video rollouts plus one time-reversed rollout of the same clip, so correctness reward forces the policy to use temporal direction.
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.
During RL post-training of a video model, each group of sampled responses contains mostly forward-video rollouts plus one time-reversed rollout of the same clip, so correctness reward forces the policy to use temporal direction. Filed by the drafting stage from COMET: Contrastive Motion-Enhanced Temporal Reasoning for Video Multimodal Large Language Models (2608.21030) 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: Same Stage-I checkpoint, Qwen3-VL-8B, group size 7: average accuracy 78.0 for 7 forward + 0 reversed, 78.8 for 6+1, 78.4 for 5+2, 77.6 for 4+3 across six benchmarks.. Nobody has vouched for it; add support or contest it on this page.
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.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.