2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts
Haoyuan Wu, Rui Ming, Haisheng Zheng +2
Large language models (LLMs) have shown significant promise in question-answering (QA) tasks, particularly in retrieval-augmented generation (RAG) scenarios and long-context applic…
cs.CL2025★ 1 cited
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
Haoyuan Wu, Haisheng Zheng, Zhuolun He +1
Recently, with the development of tool-calling capabilities in large language models (LLMs), these models have demonstrated significant potential for automating electronic design a…
cs.CL2024★ 2 cited
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA
Yuan Pu, Zhuolun He, Tairu Qiu +2
Retrieval augmented generation (RAG) enhances the accuracy and reliability of generative AI models by sourcing factual information from external databases, which is extensively emp…