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BIDER: Bridging Knowledge Inconsistency for Efficient
  Retrieval-Augmented LLMs via Key Supporting Evidence

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence

19 February 2024
Jiajie Jin
Yutao Zhu
Yujia Zhou
Zhicheng Dou
    RALM
ArXivPDFHTML

Papers citing "BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence"

39 / 39 papers shown
Title
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
Sha Li
Naren Ramakrishnan
RALM
KELM
211
1
0
18 Feb 2025
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
Jiajie Jin
Yutao Zhu
Xinyu Yang
Chenghao Zhang
Zhicheng Dou
Chenghao Zhang
Tong Zhao
Zhao Yang
Zhicheng Dou
Ji-Rong Wen
VLM
125
65
0
22 May 2024
From Matching to Generation: A Survey on Generative Information Retrieval
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li
Jiajie Jin
Yujia Zhou
Yuyao Zhang
Peitian Zhang
Yutao Zhu
Zhicheng Dou
3DV
154
55
0
23 Apr 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When
  and What to Retrieve for LLMs
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
Jiejun Tan
Zhicheng Dou
Yutao Zhu
Peidong Guo
Kun Fang
Ji-Rong Wen
66
29
0
19 Feb 2024
INTERS: Unlocking the Power of Large Language Models in Search with
  Instruction Tuning
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
Yutao Zhu
Peitian Zhang
Chenghao Zhang
Yifei Chen
Binyu Xie
Zheng Liu
Ji-Rong Wen
Zhicheng Dou
27
16
0
12 Jan 2024
PRCA: Fitting Black-Box Large Language Models for Retrieval Question
  Answering via Pluggable Reward-Driven Contextual Adapter
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
Haoyan Yang
Zhitao Li
Yong Zhang
Jianzong Wang
Ning Cheng
Ming Li
Jing Xiao
RALM
38
31
0
23 Oct 2023
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios
  via Prompt Compression
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang
Qianhui Wu
Xufang Luo
Dongsheng Li
Chin-Yew Lin
Yuqing Yang
Lili Qiu
RALM
154
211
0
10 Oct 2023
Walking Down the Memory Maze: Beyond Context Limit through Interactive
  Reading
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading
Howard Chen
Ramakanth Pasunuru
Jason Weston
Asli Celikyilmaz
RALM
107
82
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
77
156
0
06 Oct 2023
LeanContext: Cost-Efficient Domain-Specific Question Answering Using
  LLMs
LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs
Md. Adnan Arefeen
Biplob K. Debnath
S. Chakradhar
63
55
0
02 Sep 2023
LongBench: A Bilingual, Multitask Benchmark for Long Context
  Understanding
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Yushi Bai
Xin Lv
Jiajie Zhang
Hong Lyu
Jiankai Tang
...
Aohan Zeng
Lei Hou
Yuxiao Dong
Jie Tang
Juanzi Li
LLMAG
RALM
81
582
0
28 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
267
11,791
0
18 Jul 2023
Lost in the Middle: How Language Models Use Long Contexts
Lost in the Middle: How Language Models Use Long Contexts
Nelson F. Liu
Kevin Lin
John Hewitt
Ashwin Paranjape
Michele Bevilacqua
Fabio Petroni
Percy Liang
RALM
86
1,570
0
06 Jul 2023
Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of
  LLMs with Self-Information-Based Content Filtering
Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering
Yucheng Li
39
46
0
24 Apr 2023
Reflexion: Language Agents with Verbal Reinforcement Learning
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn
Federico Cassano
Beck Labash
A. Gopinath
Karthik Narasimhan
Shunyu Yao
LLMAG
KELM
71
1,260
0
20 Mar 2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on
  Reasoning, Hallucination, and Interactivity
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Yejin Bang
Samuel Cahyawijaya
Nayeon Lee
Wenliang Dai
Dan Su
...
Tiezheng Yu
Willy Chung
Quyet V. Do
Yan Xu
Pascale Fung
ReLM
LRM
82
1,372
0
08 Feb 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi
Xinyun Chen
Kanishka Misra
Nathan Scales
David Dohan
Ed H. Chi
Nathanael Scharli
Denny Zhou
ReLM
RALM
LRM
88
578
0
31 Jan 2023
REPLUG: Retrieval-Augmented Black-Box Language Models
REPLUG: Retrieval-Augmented Black-Box Language Models
Weijia Shi
Sewon Min
Michihiro Yasunaga
Minjoon Seo
Rich James
M. Lewis
Luke Zettlemoyer
Wen-tau Yih
RALM
VLM
KELM
118
631
0
30 Jan 2023
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Liang Wang
Nan Yang
Xiaolong Huang
Binxing Jiao
Linjun Yang
Daxin Jiang
Rangan Majumder
Furu Wei
VLM
218
594
0
07 Dec 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLM
KELM
LRM
145
624
0
07 Oct 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
395
2,812
0
06 Oct 2022
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
771
12,835
0
04 Mar 2022
Improving language models by retrieving from trillions of tokens
Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud
A. Mensch
Jordan Hoffmann
Trevor Cai
Eliza Rutherford
...
Simon Osindero
Karen Simonyan
Jack W. Rae
Erich Elsen
Laurent Sifre
KELM
RALM
222
1,083
0
08 Dec 2021
Learning to summarize from human feedback
Learning to summarize from human feedback
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
218
2,124
0
02 Sep 2020
How Context Affects Language Models' Factual Predictions
How Context Affects Language Models' Factual Predictions
Fabio Petroni
Patrick Lewis
Aleksandra Piktus
Tim Rocktaschel
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
47
239
0
10 May 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
154
3,739
0
10 Apr 2020
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
103
2,093
0
10 Feb 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
223
10,792
0
29 Oct 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
452
1,717
0
18 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.2K
12,129
0
27 Aug 2019
Fine-tune BERT for Extractive Summarization
Fine-tune BERT for Extractive Summarization
Yang Liu
59
486
0
25 Mar 2019
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Emily Dinan
Stephen Roller
Kurt Shuster
Angela Fan
Michael Auli
Jason Weston
RALM
KELM
99
946
0
03 Nov 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
150
2,635
0
25 Sep 2018
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
121
1,646
0
14 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
446
18,931
0
20 Jul 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
195
2,643
0
09 May 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
265
4,014
0
14 Apr 2017
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
Victor O.K. Li
177
1,539
0
21 Mar 2016
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
82
3,399
0
08 Jun 2015
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