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OASIS is proposed, an outlier- and sink-aware method that stabilizes dual-normalized attention-residual architectures through explicit null routing and token-to-depth null coupling and offers insight into the low-bit sensitivity observed in AttnResidual.
BaSE (Bandit-based Self-Evolving), a multi-armed bandit that allocates LLM calls across parallel trajectories is proposed, a multi-armed bandit that improves mean fitness by 12.3% over the strongest island-protocol baseline across 8 (model, task) cells.
Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization (SA-MRPO), which standardizes each reward objective independently and adaptively discounts its contribution according to a batch-level estimate of objective saturation, and dynamically reallocates optimization effort toward under-optimized obje...
This work presents Memory as a Controlled Process (MemCon), a framework that models memory operations as a Markov Decision Process and learns an online policy that adaptively decides when, what, and how much to retrieve, when to inject a distilled plan, and when to consolidate or forget.
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