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R$^2$ Flow is introduced, a recursive self-improvement framework that alternates policy learning, independent verification, and versioned skill-library updates on a shared-state orchestration graph that improves task accuracy and library-edit precision over heuristic orchestration, reinforcement learning, and skill-evo...
The Affective Flow Language Model is proposed, which models multi-turn emotional support as an affective utility flow evolving along dialogue trajectories, providing a process-based approach to dynamic affect modeling and continuous strategy optimization.
MAGER is a multi-agent genetic evolution framework that automatically discovers meta-paths optimized for LLM reasoning, enabling frozen LLMs to perform structure-aware veracity reasoning and introduces a graph in-context learning strategy that retrieves semantically and structurally similar demonstrations to strengthen...
TIEM, a timestamp-gated framework with three coordinated components: an Event-Evidence Hypergraph (EEH) for timestamp-filtered multi-tier retrieval; a Case-based Skill Memory (CSM) for source-tagged temporal skills; and Heterogeneous Evidence-Experience Fusion Reasoning (HEFR) for evidence-experience fusion and predict...
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