RAG / 检索增强生成

RAG-Enhanced Collaborative LLM Agents for Drug Discovery

Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia

机构 * Genentech（基因泰克） 纠错

专题命中 检索器与排序 ：RAG(title,abstract)；retrieval-augmented generation(abstract)；knowledge retrieval(abstract)；分类 cs.AI

Comments Machine Learning, Drug Discovery

Sabiá: Um Chatbot de Inteligência Artificial Generativa para Suporte no Dia a Dia do Ensino Superior

Guilherme Biava Rodrigues, Franciele Beal, Marlon Marcon, Alinne Cristinne Corrêa Souza, André Roberto Ortoncelli, Francisco Carlos Monteiro Souza, Rodolfo Adamshuk Silva

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)；RAG(abstract)；分类 cs.CL

Comments Accepte for publishing in SBIE2025, in Portuguese language

ICX360: In-Context eXplainability 360 Toolkit

Dennis Wei, Ronny Luss, Xiaomeng Hu, Lucas Monteiro Paes, Pin-Yu Chen, Karthikeyan Natesan Ramamurthy, Erik Miehling, Inge Vejsbjerg, Hendrik Strobelt

机构 * IBM Research（IBM研究院） 纠错

专题命中 检索器与排序 ：retrieval augmented generation(abstract)；分类 cs.CL

Comments 14 pages, 4 figures

SCRUTINEER: Detecting Logic-Level Usage Violations of Reusable Components in Smart Contracts

Xingshuang Lin, Binbin Zhao, Jinwen Wang, Qinge Xie, Xibin Zhao, Shouling Ji

专题命中 检索器与排序 ：retrieval-augmented generation(abstract)

GraphMASAL: A Graph-based Multi-Agent System for Adaptive Learning

Biqing Zeng, Mengquan Liu, Zongwei Zhen

专题命中 检索器与排序 ：dense retrieval(abstract)

Comments 9 pages, 3 figures,submitted to AAMAS 2026