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REPLUG: Retrieval-Augmented Black-Box Language Models
v1v2v3v4 (latest)

REPLUG: Retrieval-Augmented Black-Box Language Models

North American Chapter of the Association for Computational Linguistics (NAACL), 2023
30 January 2023
Weijia Shi
Sewon Min
Michihiro Yasunaga
Minjoon Seo
Rich James
M. Lewis
Luke Zettlemoyer
Anuj Kumar
    RALMVLMKELM
ArXiv (abs)PDFHTML

Papers citing "REPLUG: Retrieval-Augmented Black-Box Language Models"

50 / 592 papers shown
Title
Survey on Factuality in Large Language Models: Knowledge, Retrieval and
  Domain-Specificity
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
Cunxiang Wang
Xiaoze Liu
Yuanhao Yue
Xiangru Tang
Tianhang Zhang
...
Linyi Yang
Yongfeng Zhang
Xing Xie
Zheng Zhang
Yue Zhang
HILMKELM
395
249
0
11 Oct 2023
How Do Large Language Models Capture the Ever-changing World Knowledge?
  A Review of Recent Advances
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
206
39
0
11 Oct 2023
Retrieval-Generation Synergy Augmented Large Language Models
Retrieval-Generation Synergy Augmented Large Language ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zhangyin Feng
Xiaocheng Feng
Dezhi Zhao
Maojin Yang
Bing Qin
LRMRALM
169
43
0
08 Oct 2023
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Self-Knowledge Guided Retrieval Augmentation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yile Wang
Peng Li
Maosong Sun
Yang Liu
RALMKELM
220
80
0
08 Oct 2023
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective
  Augmentation
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation
Fangyuan Xu
Weijia Shi
Eunsol Choi
RALM
255
212
0
06 Oct 2023
Thought Propagation: An Analogical Approach to Complex Reasoning with
  Large Language Models
Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Junchi Yu
Xiao-Yu Zhang
Rex Ying
LRM
378
38
0
06 Oct 2023
Retrieval meets Long Context Large Language Models
Retrieval meets Long Context Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Peng Xu
Ming-Yu Liu
Xianchao Wu
Lawrence C. McAfee
Chen Zhu
Zihan Liu
Sandeep Subramanian
Evelina Bakhturina
Mohammad Shoeybi
Bryan Catanzaro
RALMLRM
410
107
0
04 Oct 2023
HallE-Control: Controlling Object Hallucination in Large Multimodal
  Models
HallE-Control: Controlling Object Hallucination in Large Multimodal Models
Bohan Zhai
Shijia Yang
Chenfeng Xu
Sheng Shen
Kurt Keutzer
Chunyuan Li
Manling Li
MLLM
265
22
0
03 Oct 2023
Large Language Models as Analogical Reasoners
Large Language Models as Analogical ReasonersInternational Conference on Learning Representations (ICLR), 2023
Michihiro Yasunaga
Xinyun Chen
Yujia Li
Panupong Pasupat
J. Leskovec
Abigail Z. Jacobs
Ed H. Chi
Denny Zhou
ReLMLRM
248
128
0
03 Oct 2023
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
RA-DIT: Retrieval-Augmented Dual Instruction TuningInternational Conference on Learning Representations (ICLR), 2023
Xi Lin
Xilun Chen
Mingda Chen
Weijia Shi
Maria Lomeli
...
Jacob Kahn
Gergely Szilvasy
Mike Lewis
Luke Zettlemoyer
Scott Yih
RALM
363
199
0
02 Oct 2023
BTR: Binary Token Representations for Efficient Retrieval Augmented
  Language Models
BTR: Binary Token Representations for Efficient Retrieval Augmented Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Qingqing Cao
Sewon Min
Yizhong Wang
Hannaneh Hajishirzi
MQRALM
172
7
0
02 Oct 2023
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language
  Models
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Wenxuan Ding
Shangbin Feng
Yuhan Liu
Zhaoxuan Tan
Vidhisha Balachandran
Tianxing He
Yulia Tsvetkov
LRM
149
8
0
02 Oct 2023
Resolving Knowledge Conflicts in Large Language Models
Resolving Knowledge Conflicts in Large Language Models
Yike Wang
Shangbin Feng
Heng Wang
Weijia Shi
Vidhisha Balachandran
Tianxing He
Yulia Tsvetkov
209
33
0
02 Oct 2023
Adapting LLM Agents with Universal Feedback in Communication
Adapting LLM Agents with Universal Feedback in Communication
Kuan-Chieh Wang
Yadong Lu
Michael Santacroce
Yeyun Gong
Chao Zhang
Haoran Pan
LLMAG
227
11
0
01 Oct 2023
Attention Sorting Combats Recency Bias In Long Context Language Models
Attention Sorting Combats Recency Bias In Long Context Language Models
A. Peysakhovich
Adam Lerer
LRMRALM
302
77
0
28 Sep 2023
Ragas: Automated Evaluation of Retrieval Augmented Generation
Ragas: Automated Evaluation of Retrieval Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
ES Shahul
Jithin James
Luis Espinosa-Anke
Steven Schockaert
464
378
0
26 Sep 2023
Aligning Large Multimodal Models with Factually Augmented RLHF
Aligning Large Multimodal Models with Factually Augmented RLHFAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhiqing Sun
Sheng Shen
Shengcao Cao
Haotian Liu
Chunyuan Li
...
Liangyan Gui
Yu-Xiong Wang
Yiming Yang
Kurt Keutzer
Trevor Darrell
VLM
269
577
0
25 Sep 2023
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with
  Retrieval-Augmented Large Language Models
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models
Sichen Liu
Zhiling Luo
Gong Cheng
LRM
139
2
0
22 Sep 2023
In-Context Learning for Text Classification with Many Labels
In-Context Learning for Text Classification with Many Labels
Aristides Milios
Siva Reddy
Dzmitry Bahdanau
175
46
0
19 Sep 2023
"Merge Conflicts!" Exploring the Impacts of External Distractors to
  Parametric Knowledge Graphs
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs
Cheng Qian
Xinran Zhao
Sherry Tongshuang Wu
KELM
162
13
0
15 Sep 2023
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye
Tong Liu
Aijia Zhang
Wei Hua
Weiqiang Jia
HILM
345
111
0
13 Sep 2023
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation
  with GPT-4 in Cloud Incident Root Cause Analysis
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang
Xuchao Zhang
Chetan Bansal
P. Las-Casas
Rodrigo Fonseca
Saravan Rajmohan
210
5
0
11 Sep 2023
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yubo Wang
Xueguang Ma
Wenhu Chen
LM&MAAI4MH
269
29
0
05 Sep 2023
Benchmarking Large Language Models in Retrieval-Augmented Generation
Benchmarking Large Language Models in Retrieval-Augmented GenerationAAAI Conference on Artificial Intelligence (AAAI), 2023
Jiawei Chen
Hongyu Lin
Xianpei Han
Le Sun
3DVRALM
353
441
0
04 Sep 2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational Linguistics (CL), 2023
Yue Zhang
Yafu Li
Leyang Cui
Deng Cai
Lemao Liu
...
Longyue Wang
Anh Tuan Luu
Freda Shi
Shuming Shi
Shuming Shi
LRMRALMHILM
646
790
0
03 Sep 2023
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance DetectionIEEE International Joint Conference on Neural Network (IJCNN), 2023
Kairui Hu
Ming Yan
Qiufeng Wang
Ivor W. Tsang
Wen-Haw Chong
Yong Keong Yap
LRM
139
8
0
31 Aug 2023
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact
Generations of Knowledge Graphs: The Crazy Ideas and the Business ImpactProceedings of the VLDB Endowment (PVLDB), 2023
Xin Luna Dong
172
28
0
27 Aug 2023
A Survey on Large Language Model based Autonomous Agents
A Survey on Large Language Model based Autonomous Agents
Lei Wang
Chengbang Ma
Xueyang Feng
Zeyu Zhang
Hao-ran Yang
...
Xu Chen
Yankai Lin
Wayne Xin Zhao
Zhewei Wei
Ji-Rong Wen
LLMAGAI4CELM&Ro
650
2,016
0
22 Aug 2023
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented
  Large Language Models
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yasuto Hoshi
Daisuke Miyashita
Youyang Ng
Kento Tatsuno
Yasuhiro Morioka
Osamu Torii
J. Deguchi
LRM
134
17
0
21 Aug 2023
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A.
  Will LLMs Replace Knowledge Graphs?
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Kai Sun
Yongjun Xu
Hanwen Zha
Yue Liu
Xinhsuai Dong
AI4MH
368
189
0
20 Aug 2023
RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder
  Language Models
RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
Jie Huang
Ming-Yu Liu
Peng Xu
Mohammad Shoeybi
Kevin Chen-Chuan Chang
Bryan Catanzaro
RALM
220
42
0
15 Aug 2023
Large Language Models for Information Retrieval: A Survey
Large Language Models for Information Retrieval: A Survey
Yutao Zhu
Huaying Yuan
Shuting Wang
Jiongnan Liu
Wenhan Liu
Chenlong Deng
Haonan Chen
Zheng Liu
Zhicheng Dou
Ji-Rong Wen
KELM
589
440
0
14 Aug 2023
WeaverBird: Empowering Financial Decision-Making with Large Language
  Model, Knowledge Base, and Search Engine
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
Siqiao Xue
Fan Zhou
Y. Xu
Ming Jin
Qingsong Wen
...
Jun Zhou
Shuo Xie
D. Xiu
James Y. Zhang
Hongyuan Mei
RALMAIFin
168
18
0
10 Aug 2023
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
SILO Language Models: Isolating Legal Risk In a Nonparametric DatastoreInternational Conference on Learning Representations (ICLR), 2023
Sewon Min
Suchin Gururangan
Eric Wallace
Hannaneh Hajishirzi
Noah A. Smith
Luke Zettlemoyer
AILaw
244
85
0
08 Aug 2023
Hybrid Retrieval-Augmented Generation for Real-time Composition
  Assistance
Hybrid Retrieval-Augmented Generation for Real-time Composition AssistanceConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Menglin Xia
Xuchao Zhang
Camille Couturier
Guoqing Zheng
Saravan Rajmohan
Victor Rühle
RALM
120
4
0
08 Aug 2023
Towards General Text Embeddings with Multi-stage Contrastive Learning
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Zehan Li
Xin Zhang
Yanzhao Zhang
Dingkun Long
Pengjun Xie
Meishan Zhang
348
679
0
07 Aug 2023
LARCH: Large Language Model-based Automatic Readme Creation with
  Heuristics
LARCH: Large Language Model-based Automatic Readme Creation with HeuristicsInternational Conference on Information and Knowledge Management (CIKM), 2023
Yuta Koreeda
Terufumi Morishita
Osamu Imaichi
Yasuhiro Sogawa
VLM
123
7
0
06 Aug 2023
Evaluating Correctness and Faithfulness of Instruction-Following Models
  for Question Answering
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL), 2023
Vaibhav Adlakha
Parishad BehnamGhader
Xing Han Lù
Nicholas Meade
Siva Reddy
333
172
0
31 Jul 2023
L-Eval: Instituting Standardized Evaluation for Long Context Language
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L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Chen An
Shansan Gong
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Xipeng Qiu
ELMALM
412
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20 Jul 2023
Thrust: Adaptively Propels Large Language Models with External Knowledge
Thrust: Adaptively Propels Large Language Models with External KnowledgeNeural Information Processing Systems (NeurIPS), 2023
Xinran Zhao
Hongming Zhang
Xiaoman Pan
Wenlin Yao
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KELM
368
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19 Jul 2023
Learning to Retrieve In-Context Examples for Large Language Models
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Liang Wang
Nan Yang
Furu Wei
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Generating Benchmarks for Factuality Evaluation of Language Models
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Dor Muhlgay
Ori Ram
Inbal Magar
Yoav Levine
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Omri Abend
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Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval
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Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering
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140
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Lost in the Middle: How Language Models Use Long Contexts
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Nelson F. Liu
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515
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Citation: A Key to Building Responsible and Accountable Large Language
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Long-range Language Modeling with Self-retrieval
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190
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ToolQA: A Dataset for LLM Question Answering with External Tools
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Yue Yu
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251
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Propagating Knowledge Updates to LMs Through Distillation
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Eunsol Choi
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228
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Improving Reading Comprehension Question Generation with Data
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187
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