Retrieval-Augmented Generation

AAAI 2024arXiv:2309.01431

#2

Benchmarking Large Language Models in Retrieval-Augmented Generation

Jiawei Chen, Hongyu Lin, Xianpei Han et al.

retrieval-augmented generationlarge language modelsnoise robustnessnegative rejection+4

475

ICLR 2024arXiv:2401.18059

#3

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Parth Sarthi, Salman Abdullah, Aditi Tuli et al.

333

ICLR 2024arXiv:2310.01558

#4

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Ori Yoran, Tomer Wolfson, Ori Ram et al.

314

ICML 2024arXiv:2311.01455

#5

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Yufei Wang, Zhou Xian, Feng Chen et al.

generative simulationrobotic skill learningfoundation modelstask generation+4

188

ICLR 2025arXiv:2410.10594

#6

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Shi Yu, Chaoyue Tang, Bokai Xu et al.

retrieval-augmented generationvision-language modelsmulti-modality documentsdocument embedding+2

127

ICLR 2025arXiv:2410.05983

#7

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Bowen Jin, Jinsung Yoon, Jiawei Han et al.

104

NEURIPS 2025arXiv:2505.00703

#8

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Dongzhi JIANG, Ziyu Guo, Renrui Zhang et al.

chain-of-thought reasoningtext-to-image generationreinforcement learningsemantic-level planning+3

100

ICCV 2025arXiv:2411.00776

#9

Randomized Autoregressive Visual Generation

Qihang Yu, Ju He, Xueqing Deng et al.

93

ICLR 2025arXiv:2410.13085

#10

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li et al.

83

ICLR 2025arXiv:2407.08223

#11

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Zilong (Ryan) Wang, Zifeng Wang, Long Le et al.

retrieval augmented generationspeculative decodingknowledge distillationdocument retrieval+4

78

ICLR 2025arXiv:2406.13629

#12

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Zhepei Wei, Wei-Lin Chen, Yu Meng

retrieval-augmented generationexplicit denoisingself-synthesized rationalesknowledge-intensive benchmarks+3

76

NEURIPS 2025arXiv:2411.13093

#13

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

Yongdong Luo, Xiawu Zheng, Guilin Li et al.

73

AAAI 2024arXiv:2306.15222

#14

Learning to Rank in Generative Retrieval

Yongqi Li, Nan Yang, Liang Wang et al.

generative retrievallearning to ranktext retrievalautoregressive models+3

69

ICLR 2025arXiv:2410.11414

#15

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

Zhongxiang Sun, Xiaoxue Zang, Kai Zheng et al.

68

ICML 2024arXiv:2403.10059

#16

Repoformer: Selective Retrieval for Repository-Level Code Completion

Di Wu, Wasi Ahmad, Dejiao Zhang et al.

retrieval-augmented generationcode language modelsrepository-level code completionselective retrieval+2

65

ICLR 2025arXiv:2410.20724

#17

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

Mufei Li, Siqi Miao, Pan Li

knowledge graph retrievalretrieval-augmented generationsubgraph retrievaltriple-scoring mechanism+4

58

ICLR 2025arXiv:2411.02937

#18

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Yangning Li, Yinghui Li, Xinyu Wang et al.

multimodal retrieval augmented generationknowledge-seeking visual question answeringdynamic question answeringself-adaptive planning agent+3

56

ICLR 2025arXiv:2410.04343

#19

Inference Scaling for Long-Context Retrieval Augmented Generation

Zhenrui Yue, Honglei Zhuang, Aijun Bai et al.

retrieval augmented generationinference scaling lawslong-context llmsknowledge-intensive tasks+3

54

ICLR 2025arXiv:2407.10805

#20

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Shengjie Ma, Chengjin Xu, Xuhui Jiang et al.

54

CVPR 2025arXiv:2412.01720

#21

LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant

Yikun Liu, Yajie Zhang, jiayin cai et al.

53

ICLR 2025arXiv:2402.17840

#22

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Zhenting Qi, Hanlin Zhang, Eric P Xing et al.

retrieval-augmented generationdata extraction attacksprompt injectioninstruction-tuned language models+4

52

ICLR 2025arXiv:2410.08815

#23

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Zhuoqun Li, Xuanang Chen, Haiyang Yu et al.

retrieval-augmented generationknowledge-intensive reasoninginformation structurizationlarge language models+3

51

CVPR 2024arXiv:2401.00789

#24

Retrieval-Augmented Egocentric Video Captioning

Jilan Xu, Yifei Huang, Junlin Hou et al.

51

ECCV 2024arXiv:2312.13303

#25

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios

Wenhao Ding, Yulong Cao, DING ZHAO et al.

47

CVPR 2024arXiv:2311.13602

#26

Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation

Daichi Horita, Naoto Inoue, Kotaro Kikuchi et al.

44

CVPR 2024arXiv:2403.19964

#27

FairRAG: Fair Human Generation via Fair Retrieval Augmentation

Robik Shrestha, Yang Zou, Qiuyu Chen et al.

37

NEURIPS 2025arXiv:2505.14069

#28

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning

Wenlin Zhang, Xiangyang Li, Kuicai Dong et al.

36

ICLR 2025arXiv:2411.06037

#29

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems

Hailey Joren, Jianyi Zhang, Chun-Sung Ferng et al.

35

ICLR 2025arXiv:2410.03439

#30

ToolGen: Unified Tool Retrieval and Calling via Generation

Renxi Wang, Xudong Han, Lei Ji et al.

35

AAAI 2025arXiv:2407.19813

#31

Improving Retrieval Augmented Language Model with Self-Reasoning

Yuan Xia, Jingbo Zhou, Zhenhui Shi et al.

35

ICLR 2025arXiv:2410.13509

#32

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Xinze Li, Sen Mei, Zhenghao Liu et al.

34

ICML 2024arXiv:2405.13622

#33

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation

Gauthier Guinet, Behrooz Tehrani, Anoop Deoras et al.

retrieval-augmented language modelsautomated evaluationitem response theorysynthetic exam generation+4

33

COLM 2025arXiv:2504.13079

#34

Retrieval-Augmented Generation with Conflicting Evidence

Han Wang, Archiki Prasad, Elias Stengel-Eskin et al.

Retrieval-augmented GenerationKnowledge ConflictMulti-agent

32

NEURIPS 2025arXiv:2505.22019

#35

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

Qiuchen Wang, Ruixue Ding, Yu Zeng et al.

31

ICML 2024arXiv:2402.03181

#36

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

Mintong Kang, Nezihe Merve Gürel, Ning Yu et al.

retrieval-augmented language modelsconformal risk analysisgeneration risk certificationdistribution shift guarantees+2

31

ICLR 2025arXiv:2410.08182

#37

MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models

Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou et al.

retrieval-augmented generationmultimodal retrieval benchmarksvision-language modelsvisual knowledge retrieval+2

30

NEURIPS 2025arXiv:2501.15228

#38

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

Yiqun Chen, Lingyong Yan, Weiwei Sun et al.

retrieval-augmented generationmulti-agent reinforcement learningquery rewritingdocument retrieval+3

29

AAAI 2025arXiv:2501.10332

#39

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems

Weibo Gao, Qi Liu, Linan Yue et al.

generative agentspersonalized learninglarge language modelscomputerized adaptive testing+2

29

NEURIPS 2025arXiv:2503.21322

#40

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation

Haoran Luo, Haihong E, Guanting Chen et al.

retrieval-augmented generationhypergraph-structured knowledge representationn-ary relational factsknowledge hypergraph construction+1

28

NEURIPS 2025arXiv:2501.14342

#41

Chain-of-Retrieval Augmented Generation

Liang Wang, Haonan Chen, Nan Yang et al.

retrieval augmented generationmulti-hop question answeringrejection samplingchain-of-thought reasoning+4

28

CVPR 2024arXiv:2404.11699

#42

Retrieval-Augmented Embodied Agents

Yichen Zhu, Zhicai Ou, Xiaofeng Mou et al.

embodied agentspolicy retrievalmulti-modal inputsrobotic manipulation+2

28

CVPR 2025arXiv:2504.09795

#43

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

Ryota Tanaka, Taichi Iki, Taku Hasegawa et al.

retrieval-augmented generationvisually-rich documentsmultimodal document understandingvision-language models+4

27

ICLR 2025arXiv:2405.16178

#44

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Yun Zhu, Jia-Chen Gu, Caitlin Sikora et al.

27

CVPR 2024arXiv:2403.18920

#45

CPR: Retrieval Augmented Generation for Copyright Protection

Aditya Golatkar, Alessandro Achille, Luca Zancato et al.

26

AAAI 2024arXiv:2312.11036

#46

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

Xiaoxi Li, Yujia Zhou, Zhicheng Dou

generative information retrievallarge language modelsgenerative document retrievalgrounded answer generation+2

22

NEURIPS 2025arXiv:2502.01113

#47

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation

LINHAO LUO, Zicheng Zhao, Reza Haffari et al.

22

ECCV 2024arXiv:2303.10126

#48

IRGen: Generative Modeling for Image Retrieval

Yidan Zhang, Ting Zhang, DONG CHEN et al.

22

ICML 2025arXiv:2502.09977

#49

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing

Kuan Li, Liwen Zhang, Yong Jiang et al.

20

ICCV 2025arXiv:2412.02592

#50

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Junyuan Zhang, Qintong Zhang, Bin Wang et al.

17

COLM 2025arXiv:2504.04915

#51

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration

Ran Xu, Wenqi Shi, Yuchen Zhuang et al.

large language modelretrieval augmented generationcomplex question answering

17

ICLR 2025arXiv:2502.05431

#52

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding

Xinyu Yang, Tianqi Chen, Beidi Chen

context-augmented generationparallel encodingkv state cachingattention distribution alignment+4

16

ICLR 2025arXiv:2412.06206

#53

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning

Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri et al.

16

AAAI 2025arXiv:2501.01120

#54

Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning

Jian Lang, Zhangtao Cheng, Ting Zhong et al.

15

NEURIPS 2025arXiv:2503.07649

#55

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster

Kanghui Ning, Zijie Pan, Yu Liu et al.

retrieval-augmented generationtime series forecastingfoundation modelszero-shot learning+3

15

ICML 2025arXiv:2403.09040

#56

RAGGED: Towards Informed Design of Scalable and Stable RAG Systems

Jennifer Hsia, Afreen Shaikh, Zhiruo Wang et al.

15

CVPR 2025arXiv:2502.11477

#57

Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation

Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park et al.

14

CVPR 2025arXiv:2412.06786

#58

Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis

M. Hamza Mughal, Rishabh Dabral, Merel CJ Scholman et al.

gesture generationretrieval augmented generationdiffusion modelsco-speech gestures+3

14

ICML 2025arXiv:2502.00848

#59

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning

Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang et al.

14

ICML 2024arXiv:2404.06910

#60

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

Thomas Merth, Qichen Fu, Mohammad Rastegari et al.

retrieval-augmented generationlong context processingattention mechanism efficiencytransformer-based llms+3

13

NEURIPS 2025arXiv:2502.16101

#61

Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals

Linda Zeng, Rithwik Gupta, Divij Motwani et al.

13

ICLR 2024arXiv:2402.17532

#62

Retrieval is Accurate Generation

Bowen Cao, Deng Cai, Leyang Cui et al.

AAAI 2025arXiv:2502.16641

#63

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines

Xinwei Long, Zhiyuan Ma, Ermo Hua et al.

ICLR 2025arXiv:2411.01106

#64

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Jian Chen, Ruiyi Zhang, Yufan Zhou et al.

ICLR 2025arXiv:2410.18141

#65

SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

Jingsheng Gao, Linxu Li, Ke Ji et al.

ICLR 2025arXiv:2503.01478

#66

SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction

Lu Dai, Yijie Xu, Jinhui Ye et al.

11

ICML 2025arXiv:2503.01222

#67

Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG

Wenbin Wang, Yongcheng Jing, Liang Ding et al.

11

NEURIPS 2025arXiv:2505.21996

#68

Learning World Models for Interactive Video Generation

Taiye Chen, Xun Hu, Zihan Ding et al.

world modelsinteractive video generationvideo retrieval augmented generationautoregressive video generation+4

10

AAAI 2025arXiv:2501.14300

#69

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

Xujian Liang, Zhaoquan Gu

knowledge graph integrationgraph retrieval augmented generationcommunity detectioncommunity pruning+3

AAAI 2024arXiv:2401.06633

#70

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou et al.

sequential recommendationsretrieval modelsmulti-round retrievaluser representation adaptation+3

CVPR 2025arXiv:2410.13360

#71

RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models

Haoran Hao, Jiaming Han, Changsheng Li et al.

NEURIPS 2025arXiv:2505.09316

#72

Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging

Hongjin Qian, Zheng Liu

AAAI 2025arXiv:2405.19670

#73

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models

Yutao Zhu, Zhaoheng Huang, Zhicheng Dou et al.

retrieval-augmented generationlarge language modelsvirtual token learningparameter-efficient fine-tuning+2

ICLR 2025arXiv:2412.04759

#74

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.

retrieval-augmented agentsin-context learninggeneralist agentsrobotics environments+4

ICML 2025arXiv:2502.06205

#75

Fine-Tuning Visual Autogressive Models for Subject-Driven Generation

Jiwoo Chung, Sangeek Hyun, Hyunjun Kim et al.

C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation

Guoxin Chen, Minpeng Liao, Peiying Yu et al.

8

ICLR 2025arXiv:2406.05814

#77

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models

Leigang Qu, Haochuan Li, Tan Wang et al.

8

AAAI 2025arXiv:2408.17072

#78

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Yujing Wang, Hainan Zhang, Liang Pang et al.

query rewritingretrieval-augmented generationreinforcement learning feedbackconversational rag+3

8

ICLR 2025arXiv:2406.00944

#79

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation

Shicheng Xu, Liang Pang, Huawei Shen et al.

NEURIPS 2025arXiv:2506.13589

#80

AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding

Xue zhucun, Jiangning Zhang, Xie Xurong et al.

retrieval-augmented generationmultimodal large language modelslong video understandingadaptive retrieval framework+4

NEURIPS 2025arXiv:2506.05872

#81

Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection

Yu Li, Xingyu Qiu, Yuqian Fu et al.

AAAI 2025arXiv:2412.07618

#82

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs

Xiaqiang Tang, Jian Li, Nan Du et al.

CVPR 2025arXiv:2504.11739

#83

The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation

Bingjie Gao, Xinyu Gao, Xiaoxue Wu et al.

ICCV 2025arXiv:2507.00472

#84

ARIG: Autoregressive Interactive Head Generation for Real-time Conversations

Ying Guo, Xi Liu, Cheng Zhen et al.

autoregressive generationinteractive head generationdiffusion modelsmotion prediction+4

ICML 2025arXiv:2406.19593

#85

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs

Xin Su, Man Luo, Kris Pan et al.

knowledge-based vqamultimodal retrieval-augmented generationsynthetic data generationcontext-augmented generation+4

NEURIPS 2025arXiv:2510.14032

#86

Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding

Xiaoqian Shen, Wenxuan Zhang, Jun Chen et al.

long video understandingretrieval-augmented generationgraph-based retrievalvideo language models+3

medical ragclinical reasoningpatient case retrievalknowledge base integration+4

#87

Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients

Yuxing Lu, Gecheng Fu, Wei Wu et al.

NEURIPS 2025

NEURIPS 2025arXiv:2505.07233

#88

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Jiashuo Sun, Xianrui Zhong, Sizhe Zhou et al.

retrieval-augmented generationdocument rerankingreinforcement learninglarge language models+3

ICML 2025arXiv:2502.20330

#89

RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding

Guanzheng Chen, Qilong Feng, Jinjie Ni et al.

ICCV 2025arXiv:2411.19528

#90

RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation

Yuhan Li, Xianfeng Tan, Wenxiang Shang et al.

CVPR 2025arXiv:2503.01115

#91

WeGen: A Unified Model for Interactive Multimodal Generation as We Chat

Zhipeng Huang, Shaobin Zhuang, Canmiao Fu et al.

ICML 2025arXiv:2409.17275

#92

On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains

Xun Xian, Ganghua Wang, Xuan Bi et al.

ICML 2025arXiv:2502.04517

#93

Towards Cost-Effective Reward Guided Text Generation

Ahmad Rashid, Ruotian Wu, Rongqi Fan et al.

ICLR 2024arXiv:2401.02993

#94

ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion

Shangyu Wu, Ying Xiong, Yufei CUI et al.

CVPR 2025arXiv:2503.19868

#95

GENIUS: A Generative Framework for Universal Multimodal Search

Sungyeon Kim, Xinliang Zhu, Xiaofan Lin et al.

generative retrievalmultimodal searchsemantic quantizationquery augmentation+4

NEURIPS 2025arXiv:2505.23052

#96

RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models

Jiarui Zhang, Xiangyu Liu, Yong Hu et al.

retrieval-augmented generationquery routingcontrastive learningknowledge-intensive tasks+3

NEURIPS 2025arXiv:2502.15543

#97

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation

Pengcheng Huang, Zhenghao Liu, Yukun Yan et al.

retrieval-augmented generationfaithful generationfeed-forward networksparametric knowledge suppression+3

AAAI 2025arXiv:2412.12788

#98

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning

Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon et al.

scene graph generationlong-tailed distributionsemantic ambiguitymulti-label classification+3

ICLR 2025arXiv:2410.03461

#99

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation

Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.

retrieval-augmented generationgrounding verificationnatural language inferenceunsupervised domain adaptation+2

ICLR 2025arXiv:2410.20056

#100

Multi-Field Adaptive Retrieval

Millicent Li, Tongfei Chen, Ben Van Durme et al.

3