AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Large language model agents are increasingly deployed for long-horizon task execution, raising a central granularity question for trajectory evaluation: whole-trajectory verification is too coarse to capture concrete failures and their associated evidence in long trajectories, while atomic-step scoring is too fine-grai...
Large language models (LLMs) are trained on massive and largely undisclosed corpora that may contain copyrighted or privacy-sensitive content. Data contamination detection (DCD) therefore aims to determine whether a given text is a member of the pre-training corpus of a target LLM. Recent state-of-the-art DCD methods f...
SkillZip is proposed, an execution-aware procedural abstraction framework that performs contract-preserving compression over section-level graphs that hydrates a compact, dependency-closed context and expands macros only when required.
RippleMem is a long-term memory system that replaces one-shot retrieval with adaptive associative recollection, Inspired by cue-dependent episodic retrieval and associative completion, that stores interaction history as cue-rich episodic memory units and organizes them in an event-centric memory graph.
This work builds a directed Tool--Schema Hypergraph, in which tools are represented as hyperedges from their required input-schema nodes to their output-schema nodes, and proposes HyperAgent, a Tool--Schema Hypergraph-guided framework for dynamic planning and execution.
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