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Tail-Aware Credit calibratiOn (TACO), a method that calibrates uniform credit assignment to suppress undesirable positive updates in RL, and improves training stability, supporting sustained performance gains in long-horizon RL.
SkillEval is used to evaluate skills in controlled quality tests and it is used for diagnosing weaknesses in skill documents and guiding targeted revisions, and it is shown that SkillEval reliably distinguishes skills of different quality.
Action-conditioned video world models require low-latency causal generation and reliable responses to game-native controls. Although causal distillation enables one- or few-step video synthesis, extending it to interactive world models remains challenging, as discrete keyboard states and continuous mouse motion must re...
Universal Activation Verbalizer (UAV), a framework that uses a shared decoder to explain activations from heterogeneous donor models, and provides the activation-grounded factual and semantic information needed for faithful explanations.
Experiments conducted with A^2E (Agent Auditing Engine) reveal that model-harness combinations exhibit substantial performance variation across different types of tasks, and that no single combination consistently outperforms all others across every task.
SEER is presented, a framework that learns to select query-relevant images through visual scanning and retrieve textual content only where needed, combining the efficiency of visual compression with the precision of text-based reasoning.
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