A Practical Guide to Autonomous Evaluation Loops in Claude Code

The guide explains two layers of Claude Code improvement, YAML activation tuning and output checks like word count and ...
IEEE

A Context-Driven Topic Coherence Evaluation Approach Using LLM-Based Embeddings

Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...
IEEE

DemoCraft: Using In-Context Learning to Improve Code Generation in Large Language Models

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...