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Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation

Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation

18 February 2025
Sha Li
Naren Ramakrishnan
    RALM
    KELM
ArXivPDFHTML

Papers citing "Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation"

49 / 49 papers shown
Title
Retrieval-Augmented Generation with Conflicting Evidence
Retrieval-Augmented Generation with Conflicting Evidence
Han Wang
Archiki Prasad
Elias Stengel-Eskin
Joey Tianyi Zhou
RALM
88
4
0
17 Apr 2025
OffsetBias: Leveraging Debiased Data for Tuning Evaluators
OffsetBias: Leveraging Debiased Data for Tuning Evaluators
Junsoo Park
Seungyeon Jwa
Meiying Ren
Daeyoung Kim
Sanghyuk Choi
ALM
38
38
0
09 Jul 2024
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Zhepei Wei
Wei-Lin Chen
Yu Meng
RALM
91
12
0
19 Jun 2024
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Zhonghao Li
Xuming Hu
Aiwei Liu
Kening Zheng
Shijie Huang
Hui Xiong
RALM
130
8
0
17 Jun 2024
Stochastic RAG: End-to-End Retrieval-Augmented Generation through
  Expected Utility Maximization
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
Hamed Zamani
Michael Bendersky
92
26
0
05 May 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAG
KELM
OffRL
LM&Ro
94
56
0
30 Mar 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic
  Prompt Compression
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan
Qianhui Wu
Huiqiang Jiang
Menglin Xia
Xufang Luo
...
Yuqing Yang
Chin-Yew Lin
H. Vicky Zhao
Lili Qiu
Dongmei Zhang
VLM
65
100
0
19 Mar 2024
Knowledge Conflicts for LLMs: A Survey
Knowledge Conflicts for LLMs: A Survey
Rongwu Xu
Zehan Qi
Zhijiang Guo
Cunxiang Wang
Hongru Wang
Yue Zhang
Wei Xu
229
104
0
13 Mar 2024
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
Jiajie Jin
Yutao Zhu
Yujia Zhou
Zhicheng Dou
RALM
60
23
0
19 Feb 2024
The Power of Noise: Redefining Retrieval for RAG Systems
The Power of Noise: Redefining Retrieval for RAG Systems
Florin Cuconasu
Giovanni Trappolini
F. Siciliano
Simone Filice
Cesare Campagnano
Y. Maarek
Nicola Tonellotto
Fabrizio Silvestri
RALM
74
159
0
26 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
87
1,658
1
18 Dec 2023
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language
  Models
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu
Hongming Zhang
Xiaoman Pan
Kaixin Ma
Hongwei Wang
Dong Yu
KELM
RALM
LRM
87
107
0
15 Nov 2023
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for
  Inference Cost Reduction
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
Junyi Liu
Liangzhi Li
Tong Xiang
Bowen Wang
Yiming Qian
45
32
0
24 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
142
200
0
10 Oct 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
Zhicheng Dou
Ji-Rong Wen
KELM
82
300
0
14 Aug 2023
RRAML: Reinforced Retrieval Augmented Machine Learning
RRAML: Reinforced Retrieval Augmented Machine Learning
Andrea Bacciu
Florin Cocunasu
F. Siciliano
Fabrizio Silvestri
Nicola Tonellotto
Giovanni Trappolini
RALM
56
7
0
24 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
74
1,521
0
06 Jul 2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive
  Pre-Training
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
Yibin Lei
Liang Ding
Yu Cao
Changtong Zan
Andrew Yates
Dacheng Tao
SSL
28
20
0
05 Jun 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
268
3,712
0
29 May 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
19
46
0
24 Apr 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a
  Good Reranker for Hard Samples!
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
Yubo Ma
Yixin Cao
YongChing Hong
Aixin Sun
RALM
115
150
0
15 Mar 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
68
564
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
107
611
0
30 Jan 2023
OPT-IML: Scaling Language Model Instruction Meta Learning through the
  Lens of Generalization
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Srinivasan Iyer
Xi Lin
Ramakanth Pasunuru
Todor Mihaylov
Daniel Simig
...
Jeff Wang
Christopher Dewan
Asli Celikyilmaz
Luke Zettlemoyer
Veselin Stoyanov
ALM
87
262
0
22 Dec 2022
When Not to Trust Language Models: Investigating Effectiveness of
  Parametric and Non-Parametric Memories
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Troy Mallen
Akari Asai
Victor Zhong
Rajarshi Das
Daniel Khashabi
Hannaneh Hajishirzi
RALM
HILM
KELM
94
567
0
20 Dec 2022
Contrastive Learning Reduces Hallucination in Conversations
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun
Zhengliang Shi
Shen Gao
Pengjie Ren
Maarten de Rijke
Zhaochun Ren
71
64
0
20 Dec 2022
Can Retriever-Augmented Language Models Reason? The Blame Game Between
  the Retriever and the Language Model
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model
Parishad BehnamGhader
Santiago Miret
Siva Reddy
ReLM
LRM
44
36
0
18 Dec 2022
Correcting Diverse Factual Errors in Abstractive Summarization via
  Post-Editing and Language Model Infilling
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Vidhisha Balachandran
Hannaneh Hajishirzi
William W. Cohen
Yulia Tsvetkov
HILM
KELM
99
47
0
22 Oct 2022
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Honglei Zhuang
Zhen Qin
R. Jagerman
Kai Hui
Ji Ma
Jing Lu
Jianmo Ni
Xuanhui Wang
Michael Bendersky
AIMat
44
135
0
12 Oct 2022
Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy
Prithviraj Ammanabrolu
Kianté Brantley
Jack Hessel
R. Sifa
Christian Bauckhage
Hannaneh Hajishirzi
Yejin Choi
OffRL
65
243
0
03 Oct 2022
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Sebastian Hofstatter
Jiecao Chen
K. Raman
Hamed Zamani
RALM
75
80
0
28 Sep 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng
Jianyu Wang
Cheng-Ping Hsieh
Yihan Wang
Han Guo
Tianmin Shu
Meng Song
Eric Xing
Zhiting Hu
65
330
0
25 May 2022
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers
  with Reinforcement Learning
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
D. Ghalandari
Chris Hokamp
Georgiana Ifrim
37
20
0
17 May 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning
  from Human Feedback
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Yuntao Bai
Andy Jones
Kamal Ndousse
Amanda Askell
Anna Chen
...
Jack Clark
Sam McCandlish
C. Olah
Benjamin Mann
Jared Kaplan
204
2,457
0
12 Apr 2022
A Survey on Retrieval-Augmented Text Generation
A Survey on Retrieval-Augmented Text Generation
Huayang Li
Yixuan Su
Deng Cai
Yan Wang
Lemao Liu
RALM
97
205
0
02 Feb 2022
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Akari Asai
Matt Gardner
Hannaneh Hajishirzi
RALM
57
45
0
16 Dec 2021
Recursively Summarizing Books with Human Feedback
Recursively Summarizing Books with Human Feedback
Jeff Wu
Long Ouyang
Daniel M. Ziegler
Nissan Stiennon
Ryan J. Lowe
Jan Leike
Paul Christiano
ALM
88
301
0
22 Sep 2021
Measuring and Increasing Context Usage in Context-Aware Machine
  Translation
Measuring and Increasing Context Usage in Context-Aware Machine Translation
Patrick Fernandes
Kayo Yin
Graham Neubig
André F. T. Martins
33
56
0
07 May 2021
Rider: Reader-Guided Passage Reranking for Open-Domain Question
  Answering
Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering
Yuning Mao
Pengcheng He
Xiaodong Liu
Yelong Shen
Jianfeng Gao
Jiawei Han
Weizhu Chen
OOD
LRM
147
37
0
01 Jan 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
175
2,071
0
02 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
467
41,106
0
28 May 2020
On Faithfulness and Factuality in Abstractive Summarization
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
Shashi Narayan
Bernd Bohnet
Ryan T. McDonald
HILM
67
1,017
0
02 May 2020
ColBERT: Efficient and Effective Passage Search via Contextualized Late
  Interaction over BERT
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab
Matei A. Zaharia
97
1,337
0
27 Apr 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
128
3,676
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
84
2,050
0
10 Feb 2020
Multi-Stage Document Ranking with BERT
Multi-Stage Document Ranking with BERT
Rodrigo Nogueira
Wei Yang
Kyunghyun Cho
Jimmy J. Lin
54
390
0
31 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
258
19,824
0
23 Oct 2019
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
112
2,577
0
25 Sep 2018
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
168
2,576
0
09 May 2017
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