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RAG / 检索增强生成

检索增强生成、向量检索、知识库问答和面向大模型的搜索系统。

2025-08-08 至 2025-08-08 共收录 12 信号源:cs.IR, cs.CL, cs.AI, cs.DB

1. 检索器与排序 6 篇

2508.05512 2025-08-08 cs.IR 83%

RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback

Abdelrahman Abdallah, Mahmoud Abdalla, Bhawna Piryani, Jamshid Mozafari, Mohammed Ali, Adam Jatowt

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

Comments Accept at CIKM 2025

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2508.05366 2025-08-08 cs.CL 83%

Can Language Models Critique Themselves? Investigating Self-Feedback for Retrieval Augmented Generation at BioASQ 2025

Samy Ateia, Udo Kruschwitz

机构 * Information Science, University of Regensburg, Universitätsstraße 31, 93053, Regensburg, Germany(信息科学,莱茵河畔雷根斯堡大学)

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

Comments Version as accepted at the BioASQ Lab at CLEF 2025

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2502.17297 2025-08-08 cs.AI 83%

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts

Zhenghao Liu, Xingsheng Zhu, Tianshuo Zhou, Xinyi Zhang, Xiaoyuan Yi, Yukun Yan, Ge Yu, Maosong Sun

机构 * Northeastern University, China(东北大学) Microsoft Research Asia(微软亚洲研究院) Tsinghua University(清华大学)

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

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2508.05152 2025-08-08 cs.IR cs.AI 81%

Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models

Linfeng Gao, Yaoxiang Wang, Minlong Peng, Jialong Tang, Yuzhe Shang, Mingming Sun, Jinsong Su

机构 * School of Informatics, Xiamen University(厦门大学信息学院) Baidu(百度) Alibaba(阿里巴巴)

专题命中 检索器与排序 :retriever(title,abstract);分类 cs.IR、cs.AI

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2508.05534 2025-08-08 cs.CL 57%

CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation

Santosh T. Y. S. S, Youssef Tarek Elkhayat, Oana Ichim, Pranav Shetty, Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Xiaomo Liu

机构 * School of Computation, Information, and Technology, Technical University of Munich(计算、信息与技术学院,慕尼黑技术大学) Graduate Institute of International and Development Studies, Geneva(国际与发展研究研究生院,日内瓦) JPMorgan AI Research(摩根大通人工智能研究)

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

Comments Accepted to ACL 2025-Main Conference

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2506.12496 2025-08-08 cs.CL cs.HC 57%

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation

Xiangyan Chen, Yujian Gan, Yimeng Gu, Matthew Purver

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

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2. 知识库问答 1 篇

2505.17326 2025-08-08 cs.IR cs.SD eess.AS 83%

VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering

Zackary Rackauckas, Julia Hirschberg

机构 * Columbia University(哥伦比亚大学)

专题命中 知识库问答 :RAG(title,abstract);retrieval-augmented generation(abstract);分类 cs.IR

Comments Accepted to ACL 2025 Workshop MAGMaR

Journal ref Proceedings of the 1st Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2025), pp. 40-46, Vienna, Austria, August 2025. Association for Computational Linguistics

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3. 图谱与结构化RAG 3 篇

2508.04710 2025-08-08 cs.IR 83%

Augmented Question-guided Retrieval (AQgR) of Indian Case Law with LLM, RAG, and Structured Summaries

Vishnuprabha V, Daleesha M Viswanathan, Rajesh R, Aneesh V Pillai

专题命中 图谱与结构化RAG :RAG(title,abstract);retrieval augmented generation(abstract);分类 cs.IR

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2508.02611 2025-08-08 cs.SE cs.AI 83%

Meta-RAG on Large Codebases Using Code Summarization

Vali Tawosi, Salwa Alamir, Xiaomo Liu, Manuela Veloso

机构 * JP Morgan AI Research, UK(英国JPMorgan人工智能研究)

专题命中 图谱与结构化RAG :RAG(title,abstract);retrieval augmented generation(abstract);分类 cs.AI

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2412.14964 2025-08-08 cs.CL cs.LG 70%

Efficient Knowledge Injection in LLMs via Self-Distillation

Kalle Kujanpää, Pekka Marttinen, Harri Valpola, Alexander Ilin

机构 * Aalto University(阿alto大学) Finnish Center for Artificial Intelligence (FCAI)(芬兰人工智能中心) System 2 AI

专题命中 图谱与结构化RAG :retrieval-augmented generation(abstract);RAG(abstract);分类 cs.CL

Comments Preprint

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4. RAG评测 2 篇

2504.20119 2025-08-08 cs.IR cs.AI 84%

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets

Lorenz Brehme, Thomas Ströhle, Ruth Breu

机构 * Department of Computer Science University of Innsbruck(计算机科学系因斯布鲁克大学)

专题命中 RAG评测 :RAG(title,abstract);retrieval-augmented generation(abstract);分类 cs.IR、cs.AI

Comments 8 Pages. This paper has been accepted for presentation at the IEEE Swiss Conference on Data Science (SDS25)

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2508.04721 2025-08-08 cs.SD cs.AI eess.AS 70%

Toward Low-Latency End-to-End Voice Agents for Telecommunications Using Streaming ASR, Quantized LLMs, and Real-Time TTS

Vignesh Ethiraj, Ashwath David, Sidhanth Menon, Divya Vijay

机构 * NetoAI

专题命中 RAG评测 :retrieval augmented generation(abstract);RAG(abstract);分类 cs.AI

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