pool-semantic-opinions-across-models-then-split-entropy TEC-0161 · proposedPool semantic opinions across models, then split entropy int
Cluster sampled free-form responses from several VLMs into semantic-equivalence classes, average each model's class distribution uniformly, and report the pooled entropy as collective uncertainty plus Jensen-Shannon divergence as model conf
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 sampled free-form responses from several VLMs into semantic-equivalence classes, average each model's class distribution uniformly, and report the pooled entropy as collective uncertainty plus Jensen-Shannon divergence as model conf Filed by the drafting stage from CUSP: Decomposable Collective Uncertainty for Multi-Agent Multimodal Reasoning (2609.05708) 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: AUROC for prediction-error detection and AUARC for abstention against majority voting, naive lowest-entropy selection, and mean single-VLM reference: collective uncertainty 0.764 AUROC / 0.889 AUARC in the small regime (4.7-15.8 points over baselines), 0.906/0.987 large, JSD best in commercial at 0.819/0.910; pooled prediction accuracy up 13.0, 5.6, 8.7 points over the average single VLM; trajectory-level 0.619 AUROC / 0.699 AUARC.. 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
No repository linked yet. Contribute one.
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.