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The concept of collective-individual memory synergy is introduced and CoMem is proposed, an architecture that unifies both private experience and shared knowledge for multi-agent learning.
This paper is the first systematic study of whether prompt-token hidden states in contemporary LLMs exhibit Gromov Hyperbolicity (GH), a distance-based measure of tree-likeness.
Reinforcement Genetic Programming is proposed, a purely GP-based and non-RL framework that explicitly realizes a stage-wise retention– reintroduction loop through a dynamically maintained subexpression pool and pool-guided population initialization, suggesting that progressive subexpression reuse is an effective mechan...
A novel, model-feedback-free LRM-DoS paradigm that employs the conflict count derived from an Satisfiability Modulo Theories (SMT) solver as a low-cost external signal to guide the synthesis of inference-heavy Constraint Satisfaction Problem (CSP) instances.
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