Crowdsourced Triplet Similarity Comparisons 2021
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Updated
Oct 14, 2021
Crowdsourced Triplet Similarity Comparisons 2021
Dawid-Skene consensus for multi-agent and multi-LLM disagreement: learn each agent's reliability and the true answer with calibrated confidence. Zero dependencies, node-free, TypeScript-first.
Multi-Agent Reinforcement Learning framework for collaborative label aggregation on noisy classification datasets. Includes DQN agents, Gym-style environment, evaluation tools, and majority-voting baseline.
All-inclusive aggregation rule for multi-label speech emotion recognition: keep every annotator rating instead of collapsing to a consensus label (IEEE SLT 2024)
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