AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a new paradigm called the Data Agent, designed to manage, process, and analyze data with minimal human intervention, and develops two specialized agents: the data analytics agent and the data science agent.
This tutorial introduces the workflow and architecture of agentic memory systems, and summarizes their operators, storage, and optimization techniques, aiming to inspire further innovation and progress in this exciting field.
Conference attendees will experience how DBCooker seamlessly transforms high-level SQL function requests into validated, kernel-ready code for mainstream databases (e.g., SQLite, PostgreSQL, DuckDB).
NIO-Weaver is presented, an end-to-end CAN signal analytics system within a graph-augmented multi-agent framework that outperforms baselines by up to 67.2% and an optimized retrieval method that extracts terms from queries and performs hybrid retrieval is proposed.
HiEviDR-Bench is introduced, a benchmark for evaluating Hierarchical Evidence Aggregation in Deep Research and a traceability-oriented evaluation framework with five dimensions: report quality, evidence traceability, citation accuracy, claim verification, and answer correctness, together with a progressive gating mecha...
UltraX is proposed, a function-calling refinement framework for large-scale pre-training data that completes the editing function space by introducing insertion in addition to deletion and modification, enabling fine-grained instance-level editing.
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