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Investigating the Factual Knowledge Boundary of Large Language Models
  with Retrieval Augmentation

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation

20 July 2023
Ruiyang Ren
Yuhao Wang
Yingqi Qu
Wayne Xin Zhao
J. Liu
Hao Tian
Huaqin Wu
Ji-Rong Wen
Haifeng Wang
    RALM
    KELM
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Papers citing "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"

50 / 98 papers shown
Title
AI Awareness
AI Awareness
X. Li
Haoyuan Shi
Rongwu Xu
Wei Xu
54
0
0
25 Apr 2025
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
Xiaowei Yuan
Zhao Yang
Ziyang Huang
Y. Wang
Siqi Fan
Yiming Ju
Jun Zhao
Kang-Jun Liu
22
0
0
22 Apr 2025
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
Yiyou Sun
Y. Gai
Lijie Chen
Abhilasha Ravichander
Yejin Choi
D. Song
HILM
52
0
0
17 Apr 2025
PathGPT: Leveraging Large Language Models for Personalized Route Generation
PathGPT: Leveraging Large Language Models for Personalized Route Generation
Steeve Cuthbert Marcelyn
Yucen Gao
Yuzhe Zhang
Xiaofeng Gao
Guihai Chen
25
0
0
08 Apr 2025
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
Jiwon Jeong
Hyeju Jang
Hogun Park
ReLM
LRM
46
0
0
30 Mar 2025
Empowering GraphRAG with Knowledge Filtering and Integration
Empowering GraphRAG with Knowledge Filtering and Integration
Kai Guo
Harry Shomer
Shenglai Zeng
Haoyu Han
Yu Wang
Jiliang Tang
52
0
0
18 Mar 2025
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries
Sahil Kale
Vijaykant Nadadur
40
0
0
14 Mar 2025
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
Zhuo Chen
Xinyu Wang
Yong-feng Jiang
Zhen Zhang
Xinyu Geng
Pengjun Xie
Fei Huang
Kewei Tu
98
0
0
25 Feb 2025
SMART: Self-Aware Agent for Tool Overuse Mitigation
SMART: Self-Aware Agent for Tool Overuse Mitigation
Cheng Qian
Emre Can Acikgoz
H. Wang
X. Chen
Avirup Sil
Dilek Hakkani-Tür
Gökhan Tür
Heng Ji
LLMAG
KELM
LRM
60
4
0
17 Feb 2025
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
Jie He
Nan Hu
Wanqiu Long
Jiaoyan Chen
Jeff Z. Pan
ELM
LRM
92
6
0
22 Dec 2024
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on
  Large Language Models
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
Boyang Xue
Fei Mi
Qi Zhu
Hongru Wang
Rui Wang
Sheng Wang
Erxin Yu
Xuming Hu
Kam-Fai Wong
HILM
69
0
0
16 Dec 2024
Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses
  about Real-World Entities
Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities
Miguel Zabaleta
Joel Lehman
59
0
0
27 Nov 2024
Towards Knowledge Checking in Retrieval-augmented Generation: A
  Representation Perspective
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
Shenglai Zeng
Jiankun Zhang
Bingheng Li
Yuping Lin
Tianqi Zheng
...
Hui Liu
Hui Liu
Yue Xing
Monica Xiao Cheng
Jiliang Tang
RALM
66
0
0
21 Nov 2024
Epistemic Integrity in Large Language Models
Epistemic Integrity in Large Language Models
Bijean Ghafouri
Shahrad Mohammadzadeh
James Zhou
Pratheeksha Nair
Jacob-Junqi Tian
Mayank Goel
Reihaneh Rabbany
Jean-Francois Godbout
Kellin Pelrine
HILM
24
0
0
10 Nov 2024
Exploring Knowledge Boundaries in Large Language Models for Retrieval
  Judgment
Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment
Zhen Zhang
Xinyu Wang
Yong-feng Jiang
Zhuo Chen
Feiteng Mu
Mengting Hu
Pengjun Xie
Fei Huang
KELM
45
2
0
09 Nov 2024
Distinguishing Ignorance from Error in LLM Hallucinations
Distinguishing Ignorance from Error in LLM Hallucinations
Adi Simhi
Jonathan Herzig
Idan Szpektor
Yonatan Belinkov
HILM
53
2
0
29 Oct 2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via
  Reinforcement Learning
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
Zongmeng Zhang
Yufeng Shi
Jinhua Zhu
Wengang Zhou
Xiang Qi
Peng Zhang
H. Li
RALM
HILM
16
0
0
22 Oct 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based
  LLMs
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
Xin Zhou
Ping Nie
Yiwen Guo
Haojie Wei
Zhanqiu Zhang
Pasquale Minervini
Ruotian Ma
Tao Gui
Qi Zhang
Xuanjing Huang
MoE
35
0
0
20 Oct 2024
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented
  Language Models with Parameter Decoupling and Tailored Tuning
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
Yongxin Xu
Ruizhe Zhang
Xinke Jiang
Yujie Feng
Yuzhen Xiao
Xinyu Ma
Runchuan Zhu
Xu Chu
Junfeng Zhao
Yasha Wang
KELM
20
4
0
14 Oct 2024
Toward General Instruction-Following Alignment for Retrieval-Augmented
  Generation
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
Guanting Dong
Xiaoshuai Song
Y. X. Zhu
Runqi Qiao
Zhicheng Dou
Ji-Rong Wen
3DV
40
4
0
12 Oct 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge
  Relevance For Reliable Retrieval Augmented Generation
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
Zhuohang Li
Jiaxin Zhang
Chao Yan
Kamalika Das
Sricharan Kumar
Murat Kantarcioglu
Bradley Malin
RALM
16
1
0
10 Oct 2024
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language
  Model Mathematical Reasoning
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning
Ruosen Li
Ziming Luo
Xinya Du
LRM
20
0
0
08 Oct 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can
  Improve Retrieval Augmented Generation
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
Bolei He
Nuo Chen
Xinran He
Lingyong Yan
Zhenkai Wei
Jinchang Luo
Zhen-Hua Ling
RALM
LRM
18
1
0
08 Oct 2024
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for
  Superior Planning and Decision-Making
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
Dayuan Fu
Biqing Qi
Yihuai Gao
Che Jiang
Guanting Dong
Bowen Zhou
LLMAG
21
0
0
25 Sep 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual
  Prompting Framework
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
Lu Chen
Ruqing Zhang
Jiafeng Guo
Yixing Fan
Xueqi Cheng
21
2
0
24 Sep 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
Knowledge Overshadowing Causes Amalgamated Hallucination in Large
  Language Models
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
Yuji Zhang
Sha Li
Jiateng Liu
Pengfei Yu
Yi Ren Fung
Jing Li
Manling Li
Heng Ji
29
8
0
10 Jul 2024
What Affects the Stability of Tool Learning? An Empirical Study on the
  Robustness of Tool Learning Frameworks
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks
Chengrui Huang
Zhengliang Shi
Yuntao Wen
Xiuying Chen
Peng Han
Shen Gao
Shuo Shang
23
1
0
03 Jul 2024
Advancing Process Verification for Large Language Models via Tree-Based
  Preference Learning
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
Mingqian He
Yongliang Shen
Wenqi Zhang
Zeqi Tan
Weiming Lu
LRM
35
5
0
29 Jun 2024
Understand What LLM Needs: Dual Preference Alignment for
  Retrieval-Augmented Generation
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Guanting Dong
Yutao Zhu
Chenghao Zhang
Zechen Wang
Zhicheng Dou
Ji-Rong Wen
RALM
42
3
0
26 Jun 2024
Assessing "Implicit" Retrieval Robustness of Large Language Models
Assessing "Implicit" Retrieval Robustness of Large Language Models
Xiaoyu Shen
Rexhina Blloshmi
Dawei Zhu
Jiahuan Pei
Wei Zhang
RALM
KELM
30
0
0
26 Jun 2024
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world
  Document Analysis
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Yulong Hui
Yao Lu
Huanchen Zhang
RALM
33
9
0
21 Jun 2024
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop
  Question Answering
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
Zhengliang Shi
Shuo Zhang
Weiwei Sun
Shen Gao
Pengjie Ren
Zhumin Chen
Zhaochun Ren
RALM
27
28
0
21 Jun 2024
Model Internals-based Answer Attribution for Trustworthy
  Retrieval-Augmented Generation
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
Jirui Qi
Gabriele Sarti
Raquel Fernández
Arianna Bisazza
RALM
34
1
0
19 Jun 2024
From RAGs to rich parameters: Probing how language models utilize
  external knowledge over parametric information for factual queries
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Hitesh Wadhwa
Rahul Seetharaman
Somyaa Aggarwal
Reshmi Ghosh
Samyadeep Basu
Soundararajan Srinivasan
Wenlong Zhao
Shreyas Chaudhari
Ehsan Aghazadeh
RALM
19
6
0
18 Jun 2024
Teaching Large Language Models to Express Knowledge Boundary from Their
  Own Signals
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
Lida Chen
Zujie Liang
Xintao Wang
Jiaqing Liang
Yanghua Xiao
Feng Wei
Jinglei Chen
Zhenghong Hao
Bing Han
Wei Wang
39
7
0
16 Jun 2024
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval
Haike Xu
Zongyu Lin
Yizhou Sun
Kai-Wei Chang
Piotr Indyk
31
0
0
15 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
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented
  Generation for Question-Answering
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
Zijian Hei
Weiling Liu
Wenjie Ou
Juyi Qiao
Junming Jiao
Guowen Song
Ting Tian
Yi Lin
RALM
31
5
0
11 Jun 2024
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific
  Retrieval-Augmented Generation
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
Shuting Wang
Jiongnan Liu
Shiren Song
Jiehan Cheng
Yuqi Fu
Peidong Guo
Kun Fang
Yutao Zhu
Zhicheng Dou
RALM
21
8
0
09 Jun 2024
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
Mingda Li
Xinyu Li
Yifan Chen
Wenfeng Xuan
Weinan Zhang
RALM
29
2
0
31 May 2024
ANAH: Analytical Annotation of Hallucinations in Large Language Models
ANAH: Analytical Annotation of Hallucinations in Large Language Models
Ziwei Ji
Yuzhe Gu
Wenwei Zhang
Chengqi Lyu
Dahua Lin
Kai-xiang Chen
HILM
38
2
0
30 May 2024
Evaluating the External and Parametric Knowledge Fusion of Large
  Language Models
Evaluating the External and Parametric Knowledge Fusion of Large Language Models
Hao Zhang
Yuyang Zhang
Xiaoguang Li
Wenxuan Shi
Haonan Xu
...
Yasheng Wang
Lifeng Shang
Qun Liu
Yong-jin Liu
Ruiming Tang
KELM
30
4
0
29 May 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
23
6
0
29 May 2024
Perception of Knowledge Boundary for Large Language Models through
  Semi-open-ended Question Answering
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
Zhihua Wen
Zhiliang Tian
Z. Jian
Zhen Huang
Pei Ke
Yifu Gao
Minlie Huang
Dongsheng Li
25
7
0
23 May 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
Enhancing Confidence Expression in Large Language Models Through
  Learning from Past Experience
Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience
Haixia Han
Tingyun Li
Shisong Chen
Jie Shi
Chengyu Du
Yanghua Xiao
Jiaqing Liang
Xin Lin
38
6
0
16 Apr 2024
Evaluating the Factuality of Large Language Models using Large-Scale
  Knowledge Graphs
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
Xiaoze Liu
Feijie Wu
Tianyang Xu
Zhuo Chen
Yichi Zhang
Xiaoqian Wang
Jing Gao
HILM
33
8
0
01 Apr 2024
Boosting Conversational Question Answering with Fine-Grained
  Retrieval-Augmentation and Self-Check
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check
Linhao Ye
Zhikai Lei
Jia-Peng Yin
Qin Chen
Jie Zhou
Liang He
3DV
RALM
21
14
0
27 Mar 2024
Robust and Scalable Model Editing for Large Language Models
Robust and Scalable Model Editing for Large Language Models
Yingfa Chen
Zhengyan Zhang
Xu Han
Chaojun Xiao
Zhiyuan Liu
Chen Chen
Kuai Li
Tao Yang
Maosong Sun
KELM
18
2
0
26 Mar 2024
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