AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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RegRet is presented, an LMM-based Region-level Retrieval framework that enhances the regional representations without compromising overall global retrieval performance and designs a multi-stage training pipeline that includes detailed localized captioning and regional contrastive learning tasks.
Harness-Aware Training (HAT), which trains compact models to adapt to changing Harnesses through reinforcement learning in augmented environments, is proposed and deployed in Taobao Live's digital-avatar service.
This work proposes ChainPrune, a novel reasoning path semantic structural optimization method to efficiently and controllably synthesize self-generated high-quality training data and incorporates a DPO-based preference learning method combined with supervised loss, effectively mitigating false reward suppression.
Dual-Layer Agentic Memory is proposed, a framework that shifts memory management to the write phase through cost-aware epistemic routing and periodic parametric consolidation, allowing the router to adaptively suppress redundant writes as the model's epistemic boundaries evolve.
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