5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.SE2025
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
Huashan Chen, Zhenyu Qi, Haotang Li +7
Large Language Models (LLMs) have become central to automated code generation, yet existing approaches operate within a single-LLM paradigm: one model is selected and applied throu…
cs.AI2024★ 1 cited
PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods
Yiying Wang, Xiaojing Li, Binzhu Wang +10
In domain-specific applications, GPT-4, augmented with precise prompts or Retrieval-Augmented Generation (RAG), shows notable potential but faces the critical tri-lemma of performa…
cs.CL2023★ 5 cited
Data-Centric Financial Large Language Models
Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou +9
Large language models (LLMs) show promise for natural language tasks but struggle when applied directly to complex domains like finance. LLMs have difficulty reasoning about and in…