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InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

11 October 2023
Boxin Wang
Wei Ping
Lawrence C. McAfee
Peng-Tao Xu
Bo Li
M. Shoeybi
Bryan Catanzaro
    RALM
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Papers citing "InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining"

35 / 35 papers shown
Title
Retrieval Augmented Generation Evaluation for Health Documents
Retrieval Augmented Generation Evaluation for Health Documents
Mario Ceresa
Lorenzo Bertolini
Valentin Comte
Nicholas Spadaro
Barbara Raffael
...
Sergio Consoli
Amalia Muñoz Piñeiro
Alex Patak
Maddalena Querci
Tobias Wiesenthal
RALM
3DV
31
0
1
07 May 2025
A Survey of Scaling in Large Language Model Reasoning
A Survey of Scaling in Large Language Model Reasoning
Zihan Chen
Song Wang
Zhen Tan
Xingbo Fu
Zhenyu Lei
Peng Wang
Huan Liu
Cong Shen
Jundong Li
LRM
84
0
0
02 Apr 2025
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
Ran Xu
Hui Liu
Sreyashi Nag
Zhenwei Dai
Yaochen Xie
...
Chen Luo
Yang Li
Joyce C. Ho
Carl Yang
Qi He
RALM
68
8
0
28 Jan 2025
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
Hieu Man
Nghia Trung Ngo
Viet Dac Lai
Ryan Rossi
Franck Dernoncourt
T. Nguyen
58
0
0
01 Jan 2025
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented
  Generation for Preference Alignment
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
Zhuoran Jin
Hongbang Yuan
Tianyi Men
Pengfei Cao
Yubo Chen
Kang-Jun Liu
Jun Zhao
ALM
82
7
0
18 Dec 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
32
31
0
23 Sep 2024
VERA: Validation and Evaluation of Retrieval-Augmented Systems
VERA: Validation and Evaluation of Retrieval-Augmented Systems
Tianyu Ding
Adi Banerjee
Laurent Mombaerts
Yunhong Li
Tarik Borogovac
Juan Pablo De la Cruz Weinstein
21
2
0
16 Aug 2024
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal
  Approximate Nearest Neighbor Search
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search
Meng Chen
Kai Zhang
Zhenying He
Yinan Jing
X. Sean Wang
19
8
0
16 Aug 2024
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
Peng-Tao Xu
Wei Ping
Xianchao Wu
Zihan Liu
M. Shoeybi
Mohammad Shoeybi
Bryan Catanzaro
RALM
44
14
0
19 Jul 2024
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
Tsung-Han Wu
Giscard Biamby
Jerome Quenum
Ritwik Gupta
Joseph E. Gonzalez
Trevor Darrell
David M. Chan
VLM
35
0
0
18 Jul 2024
Retrieval-Augmented Generation for Natural Language Processing: A Survey
Retrieval-Augmented Generation for Natural Language Processing: A Survey
Shangyu Wu
Ying Xiong
Yufei Cui
Haolun Wu
Can Chen
...
Lianming Huang
Xue Liu
Tei-Wei Kuo
Nan Guan
C. Xue
3DV
RALM
27
25
0
18 Jul 2024
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Rulin Shao
Jacqueline He
Akari Asai
Weijia Shi
Tim Dettmers
Sewon Min
Luke Zettlemoyer
Pang Wei Koh
RALM
19
22
0
09 Jul 2024
GPT vs RETRO: Exploring the Intersection of Retrieval and
  Parameter-Efficient Fine-Tuning
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning
Aleksander Ficek
Jiaqi Zeng
Oleksii Kuchaiev
27
0
0
05 Jul 2024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in
  LLMs
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yue Yu
Wei Ping
Zihan Liu
Boxin Wang
Jiaxuan You
Chao Zhang
M. Shoeybi
Bryan Catanzaro
ALM
RALM
34
50
0
02 Jul 2024
From RAG to RICHES: Retrieval Interlaced with Sequence Generation
From RAG to RICHES: Retrieval Interlaced with Sequence Generation
Palak Jain
Livio Baldini Soares
Tom Kwiatkowski
VLM
16
4
0
29 Jun 2024
Evaluating Quality of Answers for Retrieval-Augmented Generation: A
  Strong LLM Is All You Need
Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need
Yang Wang
Alberto Garcia Hernandez
Roman Kyslyi
Nicholas S. Kersting
34
3
0
26 Jun 2024
Data-Centric AI in the Age of Large Language Models
Data-Centric AI in the Age of Large Language Models
Xinyi Xu
Zhaoxuan Wu
Rui Qiao
Arun Verma
Yao Shu
...
Xiaoqiang Lin
Wenyang Hu
Zhongxiang Dai
Pang Wei Koh
Bryan Kian Hsiang Low
ALM
40
2
0
20 Jun 2024
FragRel: Exploiting Fragment-level Relations in the External Memory of
  Large Language Models
FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models
Xihang Yue
Linchao Zhu
Yi Yang
KELM
29
0
0
05 Jun 2024
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control
Huanshuo Liu
Hao Zhang
Zhijiang Guo
Kuicai Dong
Xiangyang Li
Yi Quan Lee
Cong Zhang
Yong-jin Liu
3DV
26
1
0
29 May 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Minghan Li
Xilun Chen
Ari Holtzman
Beidi Chen
Jimmy Lin
Wen-tau Yih
Xi Victoria Lin
RALM
BDL
108
10
0
29 May 2024
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee
Rajarshi Roy
Mengyao Xu
Jonathan Raiman
M. Shoeybi
Bryan Catanzaro
Wei Ping
RALM
36
132
0
27 May 2024
DuetRAG: Collaborative Retrieval-Augmented Generation
DuetRAG: Collaborative Retrieval-Augmented Generation
Dian Jiao
Li Cai
Jingsheng Huang
Wenqiao Zhang
Siliang Tang
Yueting Zhuang
22
0
0
12 May 2024
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural
  Language Processing
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
Yucheng Hu
Yuxing Lu
RALM
58
14
0
30 Apr 2024
RAFT: Adapting Language Model to Domain Specific RAG
RAFT: Adapting Language Model to Domain Specific RAG
Tianjun Zhang
Shishir G. Patil
Naman Jain
Sheng Shen
Matei A. Zaharia
Ion Stoica
Joseph E. Gonzalez
RALM
24
168
0
15 Mar 2024
Reliable, Adaptable, and Attributable Language Models with Retrieval
Reliable, Adaptable, and Attributable Language Models with Retrieval
Akari Asai
Zexuan Zhong
Danqi Chen
Pang Wei Koh
Luke Zettlemoyer
Hanna Hajishirzi
Wen-tau Yih
KELM
RALM
36
53
0
05 Mar 2024
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
Zihan Liu
Wei Ping
Rajarshi Roy
Peng-Tao Xu
Chankyu Lee
M. Shoeybi
Bryan Catanzaro
ALM
RALM
AI4MH
16
38
0
18 Jan 2024
Retrieval-Augmented Generation for Large Language Models: A Survey
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao
Yun Xiong
Xinyu Gao
Kangxiang Jia
Jinliu Pan
Yuxi Bi
Yi Dai
Jiawei Sun
Meng Wang
Haofen Wang
3DV
RALM
50
1,418
1
18 Dec 2023
UniIR: Training and Benchmarking Universal Multimodal Information
  Retrievers
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
Cong Wei
Yang Chen
Haonan Chen
Hexiang Hu
Ge Zhang
Jie Fu
Alan Ritter
Wenhu Chen
28
50
0
28 Nov 2023
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models
  Catching up?
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
Hailin Chen
Fangkai Jiao
Xingxuan Li
Chengwei Qin
Mathieu Ravaut
Ruochen Zhao
Caiming Xiong
Shafiq R. Joty
ELM
CLL
AI4MH
LRM
ALM
77
27
0
28 Nov 2023
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Wenqi Jiang
Marco Zeller
R. Waleffe
Torsten Hoefler
Gustavo Alonso
41
14
0
15 Oct 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A
  Comprehensive Study
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Boxin Wang
Wei Ping
P. Xu
Lawrence C. McAfee
Zihan Liu
...
Oleksii Kuchaiev
Bo-wen Li
Chaowei Xiao
Anima Anandkumar
Bryan Catanzaro
RALM
24
55
0
13 Apr 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 2020
1