UniR is a composable reasoning module trained with verifiable rewards and added to frozen LLMs via logit summation, enabling modular composition and weak-to-strong generalization across tasks and model sizes.
Reinforcement learning with deep energy-based policies
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Alternating optimization for MI-optimal density control of linear systems coincides with that for generalized Schrödinger bridges.
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Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
UniR is a composable reasoning module trained with verifiable rewards and added to frozen LLMs via logit summation, enabling modular composition and weak-to-strong generalization across tasks and model sizes.
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Mutual Information Optimal Density Control of Linear Systems and Generalized Schr\"{o}dinger Bridges with Reference Refinement
Alternating optimization for MI-optimal density control of linear systems coincides with that for generalized Schrödinger bridges.