Machine Heart
Sep 30, 2026 · Artificial Intelligence
ME-Decoding: Reframing LLM Decoding as Ensemble Pruning with Semantic Redundancy Control
Renmin University researchers propose ME-Decoding, a method that selects candidate tokens by jointly optimizing probability confidence and semantic diversity via Mahalanobis distance, outperforming probability-only truncation on reasoning and open-ended generation across multiple models and temperatures with only 3% latency overhead.
EMNLP 2026LLM decodingMahalanobis distance
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