AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The cluster loop yields the strongest held-out rubric on both evaluator tasks from a commercial search vertical, and is the only method robustly positive on both.
This work investigates LLM-based evaluators of natural language generation quality mechanistically through an eight-attack perturbation taxonomy across the Readability and Adequacy dimensions of NLG quality, a generation pipeline that produces paired clean and corrupt summaries with controlled error intensity and expli...
Human evaluation remains the dominant way to assess automated exploratory data analysis (AutoEDA) systems, but it is expensive, subjective, and hard to reproduce. We introduce a reproducible automatic diagnostic framework that surfaces structural and statistical failures in AutoEDA—failure modes often under-emphasized...
Attune is presented, a mixed-initiative system for steerable LLM-powered scoring that performs pairwise comparisons across records to develop a global understanding first, and then resolves these comparisons into consistent score assignments-deriving scoring criteria and rules bottom-up in the process.
A dual-engine, AI-powered resume screening system designed for transparency and reproducibility, with a reproducible SBERT→XGBoost→SHAP classification pipeline, and a practitioner-oriented user interface that operationalizes explainability and auditability is presented.
NAPHA (eNtropy-Aware Post-Hoc Alignment), a simple yet effective lightweight post-hoc alignment method that matches the LLM distribution to the HJD by first assigning an instance to a discrete entropy class and then routing it to specialized, trained alignment models is proposed.
This work represents the first application of online control mechanisms to adaptively select prompting strategies in AES, transforming prompt selection from an offline hyperparameter optimization problem into an efficient online learning task.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.