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Speculative decoding reduces large language model inference latency by drafting multiple tokens before target-model verification, but its effectiveness depends on both the proposal mechanism and draft depth. Fixed configurations cannot respond to changes in predictability, repetition, and acceptance during generation,...
Privileged Self-Practice (PSP), which keeps the PI and moves it from the loss to the sampler and is the only method that consistently outperforms plain GRPO, improving task-goal completion on AppWorld and the resolved rate by up to 61% on SWE-bench Verified.
A novel simulation approach that combines categorical judgments with evaluator-specific auxiliary data--retrospective reasoning traces and interface telemetry--to enable LLM-based simulation of individual evaluators via in-context learning is proposed.
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