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Improving Language Models via Plug-and-Play Retrieval Feedback

Improving Language Models via Plug-and-Play Retrieval Feedback

23 May 2023
W. Yu
Zhihan Zhang
Zhenwen Liang
Meng-Long Jiang
Ashish Sabharwal
    KELM
    LRM
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Papers citing "Improving Language Models via Plug-and-Play Retrieval Feedback"

50 / 66 papers shown
Title
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
67
1
0
05 May 2025
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
Ran Xu
W. Shi
Yuchen Zhuang
Yue Yu
Joyce C. Ho
Haoyu Wang
Carl Yang
24
1
0
07 Apr 2025
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
Mingyue Cheng
Yucong Luo
Jie Ouyang
Q. Liu
Huijie Liu
...
Bohou Zhang
Jiawei Cao
Jie Ma
Daoyu Wang
Enhong Chen
3DV
66
3
0
11 Mar 2025
Vision Search Assistant: Empower Vision-Language Models as Multimodal
  Search Engines
Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
Zhixin Zhang
Yiyuan Zhang
Xiaohan Ding
Xiangyu Yue
16
3
0
28 Oct 2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large
  Language Models
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv
Jie Wang
Hanzhu Chen
Bin Li
Yongdong Zhang
Feng Wu
HILM
17
3
0
19 Oct 2024
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in
  LLMs, Even for Vigilant Users
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
Mengxuan Hu
Hongyi Wu
Zihan Guan
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Sheng Li
SILM
33
3
0
10 Oct 2024
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic
  Understanding Tasks
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks
Malsha Ashani Mahawatta Dona
Beatriz Cabrero-Daniel
Yinan Yu
Christian Berger
37
1
0
19 Sep 2024
Internal and External Knowledge Interactive Refinement Framework for
  Knowledge-Intensive Question Answering
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering
Haowei Du
Dongyan Zhao
KELM
17
0
0
23 Aug 2024
Entity Retrieval for Answering Entity-Centric Questions
Entity Retrieval for Answering Entity-Centric Questions
Hassan S. Shavarani
Anoop Sarkar
RALM
24
2
0
05 Aug 2024
Addressing Image Hallucination in Text-to-Image Generation through
  Factual Image Retrieval
Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval
Youngsun Lim
Hyunjung Shim
DiffM
HILM
MQ
33
3
0
15 Jul 2024
DSLR: Document Refinement with Sentence-Level Re-ranking and
  Reconstruction to Enhance Retrieval-Augmented Generation
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation
Taeho Hwang
Soyeong Jeong
Sukmin Cho
SeungYoon Han
Jong C. Park
RALM
30
1
0
04 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
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Ziyan Jiang
Xueguang Ma
Wenhu Chen
RALM
41
47
0
21 Jun 2024
An Analysis of Multilingual FActScore
An Analysis of Multilingual FActScore
Kim Trong Vu
Michael Krumdick
Varshini Reddy
Franck Dernoncourt
Viet Dac Lai
HILM
39
0
0
20 Jun 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
53
12
0
19 Jun 2024
A Systematic Survey of Text Summarization: From Statistical Methods to
  Large Language Models
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang
Philip S. Yu
Jiawei Zhang
30
14
0
17 Jun 2024
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction
  Tuning
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
Jiaqi Li
Yixuan Tang
Yi Yang
29
5
0
14 Jun 2024
Process-Driven Autoformalization in Lean 4
Process-Driven Autoformalization in Lean 4
Jianqiao Lu
Zhengying Liu
Yingjia Wan
Yinya Huang
Haiming Wang
Zhicheng YANG
Jing Tang
Zhijiang Guo
AI4CE
37
14
0
04 Jun 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of
  Self-Correction of LLMs
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi
Yusen Zhang
Nan Zhang
Jiawei Han
Rui Zhang
LRM
40
57
0
03 Jun 2024
Large Language Models Can Self-Correct with Minimal Effort
Large Language Models Can Self-Correct with Minimal Effort
Zhenyu Wu
Qingkai Zeng
Zhihan Zhang
Zhaoxuan Tan
Chao Shen
Meng-Long Jiang
KELM
LRM
ReLM
27
3
0
23 May 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
Dawei Yin
Tat-Seng Chua
Qing Li
RALM
3DV
38
178
0
10 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
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of
  Theories, Detection Methods, and Opportunities
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
Xiaomin Yu
Yezhaohui Wang
Yanfang Chen
Zhen Tao
Dinghao Xi
Shichao Song
Simin Niu
Zhiyu Li
62
7
0
25 Apr 2024
Unifying Bias and Unfairness in Information Retrieval: A Survey of
  Challenges and Opportunities with Large Language Models
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models
Sunhao Dai
Chen Xu
Shicheng Xu
Liang Pang
Zhenhua Dong
Jun Xu
42
60
0
17 Apr 2024
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Yuxuan Yao
Han Wu
Zhijiang Guo
Biyan Zhou
Jiahui Gao
Sichun Luo
Hanxu Hou
Xiaojin Fu
Linqi Song
LLMAG
LRM
40
9
0
28 Mar 2024
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
Yuren Mao
Xuemei Dong
Wenyi Xu
Yunjun Gao
Bin Wei
Ying Zhang
28
9
0
21 Mar 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for
  Hallucination Mitigation
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Shiqi Chen
Miao Xiong
Junteng Liu
Zhengxuan Wu
Teng Xiao
Siyang Gao
Junxian He
HILM
51
21
0
03 Mar 2024
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of
  Large Language Models
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
Loka Li
Zhenhao Chen
Guan-Hong Chen
Yixuan Zhang
Yusheng Su
Eric P. Xing
Kun Zhang
LRM
36
15
0
19 Feb 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
37
23
0
19 Feb 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via
  Query Generation Blending and Knowledge Filtering
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
Haoyu Wang
Ruirui Li
Haoming Jiang
Jinjin Tian
Zhengyang Wang
Chen Luo
Xianfeng Tang
Monica Cheng
Tuo Zhao
Jing Gao
RALM
KELM
38
16
0
16 Feb 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language
  Model Systems
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui
Yanling Wang
Chuanpu Fu
Yong Xiao
Sijia Li
...
Junwu Xiong
Xinyu Kong
Zujie Wen
Ke Xu
Qi Li
52
56
0
11 Jan 2024
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning
S. P. Sharan
Francesco Pittaluga
G. VijayKumarB.
Manmohan Chandraker
LRM
12
51
0
30 Dec 2023
Measurement in the Age of LLMs: An Application to Ideological Scaling
Measurement in the Age of LLMs: An Application to Ideological Scaling
Sean O'Hagan
Aaron Schein
42
8
0
14 Dec 2023
Towards Verifiable Text Generation with Evolving Memory and
  Self-Reflection
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
Hao-Lun Sun
Hengyi Cai
Bo Wang
Yingyan Hou
Xiaochi Wei
Shuaiqiang Wang
Yan Zhang
Dawei Yin
24
8
0
14 Dec 2023
Alignment for Honesty
Alignment for Honesty
Yuqing Yang
Ethan Chern
Xipeng Qiu
Graham Neubig
Pengfei Liu
23
27
0
12 Dec 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
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific
  Recommendations
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations
Jing Yao
Wei Xu
Jianxun Lian
Xiting Wang
Xiaoyuan Yi
Xing Xie
ALM
17
18
0
16 Nov 2023
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language
  Models
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
W. Yu
Hongming Zhang
Xiaoman Pan
Kaixin Ma
Hongwei Wang
Dong Yu
KELM
RALM
LRM
62
101
0
15 Nov 2023
Ever: Mitigating Hallucination in Large Language Models through
  Real-Time Verification and Rectification
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
Haoqiang Kang
Juntong Ni
Huaxiu Yao
HILM
LRM
14
33
0
15 Nov 2023
RECALL: A Benchmark for LLMs Robustness against External Counterfactual
  Knowledge
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge
Yi Liu
Lianzhe Huang
Shicheng Li
Sishuo Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
RALM
57
32
0
14 Nov 2023
Think Before You Speak: Cultivating Communication Skills of Large
  Language Models via Inner Monologue
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
Junkai Zhou
Liang Pang
Huawei Shen
Xueqi Cheng
LRM
9
4
0
13 Nov 2023
Trends in Integration of Knowledge and Large Language Models: A Survey
  and Taxonomy of Methods, Benchmarks, and Applications
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications
Zhangyin Feng
Weitao Ma
Weijiang Yu
Lei Huang
Haotian Wang
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
KELM
21
34
0
10 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRM
HILM
31
684
0
09 Nov 2023
Rephrase and Respond: Let Large Language Models Ask Better Questions for
  Themselves
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Yihe Deng
Weitong Zhang
Zixiang Chen
Quanquan Gu
LRM
22
72
0
07 Nov 2023
Defining a New NLP Playground
Defining a New NLP Playground
Sha Li
Chi Han
Pengfei Yu
Carl N. Edwards
Manling Li
...
Yi Ren Fung
Charles Yu
Joel R. Tetreault
Eduard H. Hovy
Heng Ji
31
5
0
31 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 Advances
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
17
21
0
11 Oct 2023
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Self-Knowledge Guided Retrieval Augmentation for Large Language Models
Yile Wang
Peng Li
Maosong Sun
Yang Liu
RALM
KELM
21
42
0
08 Oct 2023
Adaptive-Solver Framework for Dynamic Strategy Selection in Large
  Language Model Reasoning
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
Jianpeng Zhou
Wanjun Zhong
Yanlin Wang
Jiahai Wang
LRM
13
7
0
01 Oct 2023
TPE: Towards Better Compositional Reasoning over Conceptual Tools with
  Multi-persona Collaboration
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration
Hongru Wang
Huimin Wang
Lingzhi Wang
Minda Hu
Rui Wang
Boyang Xue
Hongyuan Lu
Fei Mi
Kam-Fai Wong
LRM
KELM
LLMAG
25
12
0
28 Sep 2023
Chain-of-Verification Reduces Hallucination in Large Language Models
Chain-of-Verification Reduces Hallucination in Large Language Models
S. Dhuliawala
M. Komeili
Jing Xu
Roberta Raileanu
Xian Li
Asli Celikyilmaz
Jason Weston
LRM
HILM
15
171
0
20 Sep 2023
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