RAG / 检索增强生成

MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering

Kunal Sawarkar, Shivam R. Solanki, Abhilasha Mangal

机构 * IBM 纠错

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

Can Large Language Models Identify Materials from Radar Signals?

Jiangyou Zhu, Hongyu Deng, He Chen

机构 * The Chinese University of Hong Kong（香港中文大学） 纠错

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

PyLate: Flexible Training and Retrieval for Late Interaction Models

Antoine Chaffin, Raphaël Sourty

机构 * LightOn Nancy France（LightOn Nancy） ； LightOn Paris France（LightOn Paris） 纠错

专题命中 检索器与排序 ：vector search(abstract)；分类 cs.IR、cs.CL

Comments 5 pages

Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?

Junhyuk Choi, Hyeonchu Park, Haemin Lee, Hyebeen Shin, Hyun Joung Jin, Bugeun Kim

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

Comments Preprint

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Siyun Zhao, Dongsheng Li, Luna K. Qiu, Yuqing Yang

机构 * Microsoft Research（微软研究院） 纠错

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

GUI-ReRank: Enhancing GUI Retrieval with Multi-Modal LLM-based Reranking

Kristian Kolthoff, Felix Kretzer, Christian Bartelt, Alexander Maedche, Simone Paolo Ponzetto

专题命中 检索器与排序 ：RAG(abstract)