RAG / 检索增强生成 - arXivDaily 专题

2310.14708 2023-10-24 cs.CL 57%

Strong and Efficient Baselines for Open Domain Conversational Question Answering

Andrei C. Coman, Gianni Barlacchi, Adrià de Gispert

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

Comments Accepted to EMNLP 2023 Findings

2305.02606 2023-10-24 cs.CL 57%

Re$^3$Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training

Jiaxin Wen, Hao Zhou, Jian Guan, Minlie Huang

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

Comments EMNLP 2023 Main Coference

2309.11392 2023-09-29 cs.IR 57%

Retrieving Supporting Evidence for Generative Question Answering

Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke

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

Comments arXiv admin note: text overlap with arXiv:2306.13781

Journal ref Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP '23), November 26--28, 2023, Beijing, China

2309.11049 2023-09-22 cs.CL 57%

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu

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

Comments Accepted by AACL-IJCNLP 2023

2309.04790 2023-09-12 cs.CL 57%

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu

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

2305.03130 2023-05-29 cs.CL 57%

Chain-of-Skills: A Configurable Model for Open-domain Question Answering

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

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

Comments ACL 2023

2305.15344 2023-05-25 cs.CL cs.LG 57%

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators

Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski, Alessandro Moschitti

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

Comments Accepted at ACL 2023

2305.14441 2023-05-25 cs.CL 57%

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions

Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang

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

Comments Accepted at TACL. This is a pre-MIT Press publication version

2305.05486 2023-05-10 cs.CL 57%

MAUPQA: Massive Automatically-created Polish Question Answering Dataset

Piotr Rybak

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

2204.08952 2023-04-25 cs.CL 57%

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies

Md Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang

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

Comments EACL 2023

2212.08946 2022-12-20 cs.CL 57%

Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering

Shaomu Tan, Denis Paperno

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

2210.12338 2022-10-25 cs.CL 57%

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge

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

Comments Findings of EMNLP 2022

2205.12507 2022-10-25 cs.CL 57%

Re-Examining Calibration: The Case of Question Answering

Chenglei Si, Chen Zhao, Sewon Min, Jordan Boyd-Graber

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

Comments EMNLP 2022 Findings

2206.01201 2022-10-11 cs.CV cs.CL 57%

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering

Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan

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

Comments Accepted by NeurIPS 2022

2203.09424 2022-10-05 cs.CL 57%

elBERto: Self-supervised Commonsense Learning for Question Answering

Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin

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

2202.13296 2022-07-28 cs.CL 57%

Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen

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

Comments The experimental results are updated by fixing the data leakage issue in the code

2207.01940 2022-07-19 cs.CL 57%

MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering

Zhucheng Tu, Sarguna Janani Padmanabhan

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

Comments System description for the Multilingual Information Access 2022 Shared Task

2109.13087 2022-06-22 cs.CL 57%

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations

Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan

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

Journal ref ACL 2022

2110.04330 2022-06-07 cs.CL cs.LG 57%

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering

Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng

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

Comments Accepted by ACL 2022

2112.08688 2022-05-17 cs.CL 57%

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Akari Asai, Matt Gardner, Hannaneh Hajishirzi

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

Comments Published as a conference paper at NAACL 2022 (long). Code available at https://github.com/AkariAsai/evidentiality_qa

2112.08614 2022-05-06 cs.CL 57%

KAT: A Knowledge Augmented Transformer for Vision-and-Language

Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao

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

Comments Accepted by NAACL 2022

2012.14610 2022-05-05 cs.CL 57%

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

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

Comments NAACL-HLT 2022 Findings

2203.08928 2022-03-23 cs.CL 57%

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References

Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen

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

Comments ACL 2022 Main Conference

2110.15439 2021-11-01 cs.IR 57%

Dense Hierarchical Retrieval for Open-Domain Question Answering

Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu

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

Comments EMNLP 2021 Findings

2110.04889 2021-10-12 cs.CL 57%

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation

Chen Zhao, Chenyan Xiong, Jordan Boyd-Graber, Hal Daumé

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

Comments EMNLP 2021

2109.10346 2021-09-22 cs.CL cs.LG 57%

Relation-Guided Pre-Training for Open-Domain Question Answering

Ziniu Hu, Yizhou Sun, Kai-Wei Chang

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

2109.02905 2021-09-08 cs.CL 57%

Exploiting Reasoning Chains for Multi-hop Science Question Answering

Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam

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

Comments 14 pages, Findings of EMNLP 2021

2012.12624 2021-06-03 cs.CL 57%

Learning Dense Representations of Phrases at Scale

Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen

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

Comments ACL 2021. Code available at https://github.com/princeton-nlp/DensePhrases

2105.11776 2021-05-26 cs.CL 57%

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering

Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam

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

Comments Accepted by Findings of ACL 2021

2103.06332 2021-05-20 cs.CL cs.LG 57%

Hurdles to Progress in Long-form Question Answering

Kalpesh Krishna, Aurko Roy, Mohit Iyyer

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

Comments NAACL 2021 camera ready (18 pages)

1. 知识库问答 545 篇

Strong and Efficient Baselines for Open Domain Conversational Question Answering

Re$^3$Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training

Retrieving Supporting Evidence for Generative Question Answering

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

Chain-of-Skills: A Configurable Model for Open-domain Question Answering

Learning Answer Generation using Supervision from Automatic Question Answering Evaluators

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions

MAUPQA: Massive Automatically-created Polish Question Answering Dataset

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies

Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge

Re-Examining Calibration: The Case of Question Answering

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering

elBERto: Self-supervised Commonsense Learning for Question Answering

Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

KAT: A Knowledge Augmented Transformer for Vision-and-Language

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References

Dense Hierarchical Retrieval for Open-Domain Question Answering

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation

Relation-Guided Pre-Training for Open-Domain Question Answering

Exploiting Reasoning Chains for Multi-hop Science Question Answering

Learning Dense Representations of Phrases at Scale

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering

Hurdles to Progress in Long-form Question Answering