IEEE

SH-RAG: A Syntax-Based Hierarchical Retrieval-Augmented Generation Framework for Handling Syntactic Complexity in Literary Machine Translation

Abstract: With the rapid advancements in machine translation (MT), large language models (LLMs) have demonstrated the ability to generate high-quality translations with relatively low computational ...
IEEE

SSR-RAG: A smart Retrieval-Augmented Generation Framework with Rollback Mechanisms for Safer and More Accurate Answers

Abstract: Large language models (LLMs) have made significant advancements in the field of natural language processing and are widely applied in tasks such as question answering, dialogue generation, ...
GitHub

Suggestion: add WFGY (LLM robustness + RAG debugging framework)

Hi, thanks for maintaining this collection of machine learning lists. I would like to suggest one project that might fit under the LLM / RAG / evaluation or debugging related resources: Name: WFGY ...