Machine Heart
May 12, 2026 · Artificial Intelligence
DECS Cuts Overthinking in Models: Halve Inference Tokens and Raise Accuracy
DECS, a novel training framework introduced by researchers from Fudan, Shanghai Jiao Tong, and the Shanghai AI Lab, theoretically exposes the flaws of length‑penalty rewards and, through token‑level reward decoupling and dynamic batch scheduling, reduces inference token counts by over 50% while improving accuracy across multiple benchmarks.
DECSLarge Language Modelsbenchmark evaluation
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