RAG / 检索增强生成 - arXivDaily 专题

2210.06345 2023-06-01 cs.CL cs.IR cs.LG 62%

Variational Open-Domain Question Answering

Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments 28 pages, 5 figures. Accepted at ICML 2023

2305.16048 2023-05-26 cs.CL cs.AI 62%

UFO: Unified Fact Obtaining for Commonsense Question Answering

Zhifeng Li, Yifan Fan, Bowei Zou, Yu Hong

专题命中知识库问答：dense retrieval(abstract)；分类 cs.CL、cs.AI

Comments IJCNN 2023

2212.07798 2022-12-16 cs.CL cs.AI 62%

Utilizing Background Knowledge for Robust Reasoning over Traffic Situations

Jiarui Zhang, Filip Ilievski, Aravinda Kollaa, Jonathan Francis, Kaixin Ma, Alessandro Oltramari

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments Camera ready version of AAAI 2023 workshop on Knowledge-Augmented Methods for Natural Language Processing

2211.12707 2022-11-24 cs.CL cs.IR 62%

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?

Neeraj Varshney, Man Luo, Chitta Baral

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments AAAI-23 Workshop on Knowledge Augmented Methods for NLP

2210.03422 2022-11-07 cs.CL cs.AI 62%

SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts

Andrés García-Silva, Cristian Berrío, José Manuel Gómez-Pérez, José Antonio Martínez-Heras, Alessandro Donati, Ilaria Roma

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments In proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

2112.07381 2022-10-31 cs.CL cs.AI 62%

You Only Need One Model for Open-domain Question Answering

Haejun Lee, Akhil Kedia, Jongwon Lee, Ashwin Paranjape, Christopher D. Manning, Kyoung-Gu Woo

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments EMNLP 2022 (main)

2210.02933 2022-10-11 cs.CL cs.AI 62%

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments Findings of EMNLP2022

2204.03985 2022-09-23 cs.CL cs.AI cs.LG 62%

KGI: An Integrated Framework for Knowledge Intensive Language Tasks

Md Faisal Mahbub Chowdhury, Michael Glass, Gaetano Rossiello, Alfio Gliozzo, Nandana Mihindukulasooriya

专题命中知识库问答：retrieval augmented generation(abstract)；分类 cs.CL、cs.AI

Comments EMNLP 2022 Demo Track

2208.14601 2022-09-02 cs.IR cs.AI 62%

A topic-aware graph neural network model for knowledge base updating

Jiajun Tong, Zhixiao Wang, Xiaobin Rui

专题命中知识库问答：knowledge retrieval(abstract)；分类 cs.IR、cs.AI

2207.05270 2022-07-13 cs.CL cs.AI 62%

A Survey on Table Question Answering: Recent Advances

Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments 13 pages

2203.06942 2022-04-13 cs.CL cs.IR 62%

Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering

Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments Accepted by ACL 2022 main conference; The dataset and code are available at https://github.com/jzhoubu/HLP

2110.08417 2022-03-22 cs.CL cs.AI 62%

Open Domain Question Answering with A Unified Knowledge Interface

Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments ACL 2022 camera ready

2112.06723 2021-12-14 cs.CL cs.AI 62%

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation

Seungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

2111.11520 2021-11-24 cs.CL cs.IR cs.LG 62%

Zero-Shot Open-Book Question Answering

Sia Gholami, Mehdi Noori

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

2109.03502 2021-09-09 cs.CL cs.IR cs.LG 62%

R2-D2: A Modular Baseline for Open-Domain Question Answering

Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments Accepted to Findings of EMNLP'21. arXiv admin note: substantial text overlap with arXiv:2102.10697

2009.08553 2021-08-10 cs.CL cs.IR 62%

Generation-Augmented Retrieval for Open-domain Question Answering

Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen

专题命中知识库问答：dense retrieval(abstract)；分类 cs.IR、cs.CL

Comments Minor format updates

2007.00814 2021-08-03 cs.CL cs.IR 62%

Relevance-guided Supervision for OpenQA with ColBERT

Omar Khattab, Christopher Potts, Matei Zaharia

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2021. Author's final version. Oral presentation at ACL'21

2106.00882 2021-06-03 cs.CL cs.IR 62%

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments ACL 2021

2010.08191 2021-05-13 cs.CL cs.IR 62%

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments NAACL 2021

2102.10697 2021-04-13 cs.CL cs.AI cs.LG 62%

Pruning the Index Contents for Memory Efficient Open-Domain QA

Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments v2 - added connection between pruner and DPR, results on TriviaQA, new reranker, results with HN-DPR checkpoint and additional analyses

2102.07033 2021-02-16 cs.CL cs.AI cs.LG 62%

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

2010.10439 2021-02-11 cs.CL cs.AI 62%

Open Question Answering over Tables and Text

Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments Accepted to ICLR 2021. Main paper has 9 pages

2011.13284 2020-11-30 cs.CL cs.IR 62%

A question-answering system for aircraft pilots' documentation

Alexandre Arnold, Gérard Dupont, Félix Furger, Catherine Kobus, François Lancelot

专题命中知识库问答：retriever(abstract)；分类 cs.IR、cs.CL

Comments 11 pages, 8 figures

2011.05435 2020-11-12 cs.CL cs.AI cs.LG 62%

Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering

Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments 11 pages, 9 figures, presented in EMNLP 2020 main conference and SustaiNLP 2020 workshop

2009.13081 2020-09-29 cs.CL cs.AI 62%

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

Comments Submitted to AAAI 2021

2009.00914 2020-09-03 cs.CL cs.AI 62%

Revisiting the Open-Domain Question Answering Pipeline

Sina J. Semnani, Manish Pandey

专题命中知识库问答：retriever(abstract)；分类 cs.CL、cs.AI

2512.13059 2025-12-16 cs.CL 61%

An Open and Reproducible Deep Research Agent for Long-Form Question Answering

一个开放且可重复的深度研究代理用于长格式问答

Ikuya Yamada, Wataru Ikeda, Ko Yoshida, Mengyu Ye, Hinata Sugimoto, Masatoshi Suzuki, Hisanori Ozaki, Jun Suzuki

机构 * Studio Ousia（Ousia工作室）； Tohoku University（东京大学）； DENTSU SOKEN INC.（DENTSU SOKEN公司）； RIKEN（日本学术振兴会）； NII LLMC（日本信息处理学会LLMC）

专题命中知识库问答：RAG(abstract,comments)；分类 cs.CL

AI总结该研究提出一个开放的深度研究代理，结合开源大语言模型和网络搜索API，通过偏好微调提升长格式问答的推理质量。

Comments Technical report of a winning system in the NeurIPS MMU-RAG competition

1910.07000 2019-10-17 cs.CL 61%

Answering Complex Open-domain Questions Through Iterative Query Generation

Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning

专题命中知识库问答：retriever(abstract,comments)；分类 cs.CL

Comments EMNLP-IJCNLP 2019. Xiaowen Lin, Leo Mehr, and Zijian Wang contributed equally. GitHub: https://github.com/qipeng/golden-retriever

2608.14841 2026-08-18 cs.AI 新提交 57%

What the Reranker Sees: Multi-Aspect Page Annotation for Long-Document Multimodal Question Answering

重排序器所见：面向长文档多模态问答的多方面页面标注

Guanchen Wu, Jiayuan Ding, Subhabrata Mukherjee, Carl Yang

机构 * Emory University（埃默里大学）； Hippocratic AI（希波克拉底人工智能公司）

专题命中知识库问答：retriever(abstract)；分类 cs.AI

AI总结本文针对长文档多模态问答的重排序瓶颈，提出含Trident-R与Trident-S组件的Trident模型，通过多方面页面标注提升检索与生成性能，在多数据集上取得显著效果。

2608.07370 2026-08-18 cs.CL 版本更新 57%

LitTraceQA: A Benchmark for Multi-Stage Grounding and Verification in Scientific Question Answering

LitTraceQA：面向科学问答的多阶段溯源与验证基准

Xuye Liu, Yimu Wang, Peng Shi, Bo Xue, Xiangrui Ke, Songcheng Cai, Kath Choi, Di Wu, Freda Shi, Krzysztof Czarnecki

机构 * University of Waterloo（滑铁卢大学）； Amazon（亚马逊公司）； City University of Hong Kong（香港城市大学）； University of Amsterdam（阿姆斯特丹大学）

专题命中知识库问答：retrieval-augmented generation(abstract)；分类 cs.CL

AI总结该研究提出LitTraceQA基准，用于科学问答的多阶段溯源与验证，提供含多类型证据的问答数据，可评估系统的论文检索、证据溯源及答案准确性，助力生成可验证的科学问答结果。

Comments Work in Progress

1. 知识库问答 545 篇

Variational Open-Domain Question Answering

UFO: Unified Fact Obtaining for Commonsense Question Answering

Utilizing Background Knowledge for Robust Reasoning over Traffic Situations

Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?

SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts

You Only Need One Model for Open-domain Question Answering

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

KGI: An Integrated Framework for Knowledge Intensive Language Tasks

A topic-aware graph neural network model for knowledge base updating

A Survey on Table Question Answering: Recent Advances

Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering

Open Domain Question Answering with A Unified Knowledge Interface

Understanding and Improving the Exemplar-based Generation for Open-domain Conversation

Zero-Shot Open-Book Question Answering

R2-D2: A Modular Baseline for Open-Domain Question Answering

Generation-Augmented Retrieval for Open-domain Question Answering

Relevance-guided Supervision for OpenQA with ColBERT

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Pruning the Index Contents for Memory Efficient Open-Domain QA

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Open Question Answering over Tables and Text

A question-answering system for aircraft pilots' documentation

Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Revisiting the Open-Domain Question Answering Pipeline

An Open and Reproducible Deep Research Agent for Long-Form Question Answering

Answering Complex Open-domain Questions Through Iterative Query Generation

What the Reranker Sees: Multi-Aspect Page Annotation for Long-Document Multimodal Question Answering

LitTraceQA: A Benchmark for Multi-Stage Grounding and Verification in Scientific Question Answering