retrieve-demonstrations-per-decomposed-subtask-per-task TEC-0302 · proposedRetrieve demonstrations per decomposed subtask, not per task
Cluster the prior dataset into skills, have an LLM decompose the target task into subtasks scored by semantic plausibility and per-skill held-out BC loss, retrieve episodes by subtask language similarity, rerank frames by VAE behavior-featu
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.
Cluster the prior dataset into skills, have an LLM decompose the target task into subtasks scored by semantic plausibility and per-skill held-out BC loss, retrieve episodes by subtask language similarity, rerank frames by VAE behavior-featu Filed by the drafting stage from Hierarchical Skill Retrieval for Data-Efficient Adaptation of Vision-Language-Action Models (2608.24042) 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 success rate over 50 episodes x 3 seeds on 10 LIBERO long-horizon tasks (43.5% vs 33.2% for Behavior Retrieval, 31.9% STRAP, 32.5% IWR, 22.7% BC) and 20 trials per task on four real xArm tasks (48/80 vs 31/80 IWR, 27/80 BC); ablations remove decomposition, reranking, and the two-stage split.. 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.
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Sources
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