2 papers
cs.CL2025
LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts
Yuri Facanha Bezerra, Li Weigang
We introduce LLMQuoter, a lightweight, distillation-based model designed to enhance Retrieval Augmented Generation (RAG) by extracting the most relevant textual evidence for downst…
cs.CL2024
SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature
VinÃcius Di Oliveira, Yuri Façanha Bezerra, Li Weigang +2
Natural language processing (NLP) has seen significant advancements with the advent of large language models (LLMs). However, substantial improvements are still needed for language…