GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
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 ...
IEEE

A Long-Text Charge Prediction Method Based on the Prompt-Qwen-FIT Model: Integrating Few-Shot Learning and Incremental Adaptation Training

Abstract: Charge prediction is a critical task in judicial AI, involving the determination of criminal charges through detailed analysis of case narratives. Existing methods often face high ...