RAG / 检索增强生成

Enhancing Food-Domain Question Answering with a Multimodal Knowledge Graph: Hybrid QA Generation and Diversity Analysis

Srihari K B, Pushpak Bhattacharyya

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

Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs

Atahan Özer, Çağatay Yıldız

机构 * University of Tübingen（图宾根大学） 纠错

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

Qingfei Zhao, Ruobing Wang, Dingling Xu, Daren Zha, Limin Liu

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络安全学院） ； Beijing Normal University（北京师范大学） 纠错

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL

Comments 16 pages, 3 figures

Inter-Passage Verification for Multi-evidence Multi-answer QA

Bingsen Chen, Shengjie Wang, Xi Ye, Chen Zhao

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

Comments 19 pages, 6 figures, to appear in ACL 2025 Findings

Exploring the Impact of Occupational Personas on Domain-Specific QA

Eojin Kang, Jaehyuk Yu, Juae Kim

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

Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA

Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, Shiva Krishna Reddy Malay, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Spandana Gella, Vikas Yadav

机构 * ServiceNow 纠错

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL

A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation

Xiangci Li, Linfeng Song, Lifeng Jin, Haitao Mi, Jessica Ouyang, Dong Yu

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

Comments Accepted by LREC-COLING 2024

Journal ref https://aclanthology.org/2024.lrec-main.58/

MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering

Sofian Chaybouti, Achraf Saghe, Aymen Shabou

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

Comments 8 pages, 7 figures, 3 tables

Towards Fine-Grained Video Question Answering

Wei Dai, Alan Luo, Zane Durante, Debadutta Dash, Arnold Milstein, Kevin Schulman, Ehsan Adeli, Li Fei-Fei

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

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA

Xiaorui Su, Yibo Wang, Shanghua Gao, Xiaolong Liu, Valentina Giunchiglia, Djork-Arné Clevert, Marinka Zitnik

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

Journal ref ICLR2025

Open-Ended and Knowledge-Intensive Video Question Answering

Md Zarif Ul Alam, Hamed Zamani

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

DeepThink: Aligning Language Models with Domain-Specific User Intents

Yang Li, Mingxuan Luo, Yeyun Gong, Chen Lin, Jian Jiao, Yi Liu, Kaili Huang

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL

Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations

Emil Nuutinen, Iiro Rastas, Filip Ginter

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

Comments NoDaLiDa 2025

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability

Xiangsen Chen, Xuming Hu, Nan Tang

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL

Comments 20 pages, 2 figures

News Reporter: A Multi-lingual LLM Framework for Broadcast T.V News

Tarun Jain, Yufei Gao, Sridhar Vanga, Karan Singla

专题命中 知识库问答 ：RAG(abstract)；分类 cs.CL

Comments 5 pages, under review at ICASSP 2025

CompAct: Compressing Retrieved Documents Actively for Question Answering

Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang

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

Comments Accepted to the main conference at EMNLP 2024

ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering

Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli

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

Comments Accepted at EMNLP 2024 Main Conference

Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering

Param Ahir, Hiteishi Diwanji

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

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

Yunxin Li, Longyue Wang, Baotian Hu, Xinyu Chen, Wanqi Zhong, Chenyang Lyu, Wei Wang, Min Zhang

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

Comments 20 pages, 15 pages; technical paper

Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering

Haowei Du, Dongyan Zhao

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

FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection

Yufei Huang, Xu Han, Maosong Sun

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

Comments ACL 2024 Main Conference

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains

Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan

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

Comments ACL 2024 Oral

DebateQA: Evaluating Question Answering on Debatable Knowledge

Rongwu Xu, Xuan Qi, Zehan Qi, Wei Xu, Zhijiang Guo

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

Comments Dataset and scripts for evaluation are available at https://github.com/pillowsofwind/DebateQA

SEC-QA: A Systematic Evaluation Corpus for Financial QA

Viet Dac Lai, Michael Krumdick, Charles Lovering, Varshini Reddy, Craig Schmidt, Chris Tanner

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

EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems

Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh

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

KET-QA: A Dataset for Knowledge Enhanced Table Question Answering

Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang

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

Comments LREC-Coling 2024

Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks

Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang

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

Comments Accepted by ICASSP 2024

Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering

Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada

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

Comments EMNLP Findings 2023

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua

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

Comments Accepted by WWW 2024

Location Aware Modular Biencoder for Tourism Question Answering

Haonan Li, Martin Tomko, Timothy Baldwin

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

Comments Accepted at AACL 2023