1 citations · 1 across the 5 of their papers we have counts for
5 papers
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
Li Weigang, Pedro Carvalho Brom, Lucas Ramson Siefert
We propose a novel SuperBrain framework for collective intelligence, grounded in the co-evolution of large language models (LLMs) and human users. Unlike static prompt engineering…
LLM-BT-Terms: Back-Translation as a Framework for Terminology Standardization and Dynamic Semantic Embedding
Li Weigang, Pedro Carvalho Brom
The rapid expansion of English technical terminology presents a significant challenge to traditional expert-based standardization, particularly in rapidly developing areas such as…
The Paradox of Poetic Intent in Back-Translation: Evaluating the Quality of Large Language Models in Chinese Translation
Li Weigang, Pedro Carvalho Brom
The rapid advancement of large language models (LLMs) has reshaped the landscape of machine translation, yet challenges persist in preserving poetic intent, cultural heritage, and…
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…
SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature
Vinícius 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…