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Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large
  Language Models in Knowledge Conflicts
v1v2v3v4 (latest)

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

International Conference on Learning Representations (ICLR), 2023
22 May 2023
Jian Xie
Kai Zhang
Jiangjie Chen
Renze Lou
Yu-Chuan Su
    RALM
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)Github (68★)

Papers citing "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"

50 / 105 papers shown
Title
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
Xingwei He
Qianru Zhang
Pengfei Chen
Guanhua Chen
Linlin Yu
Yuan Yuan
Siu-Ming Yiu
97
0
0
18 Nov 2025
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models
Hirohane Takagi
Gouki Minegishi
Shota Kizawa
Issey Sukeda
Hitomi Yanaka
112
0
0
06 Nov 2025
The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity
The Illusion of Certainty: Uncertainty quantification for LLMs fails under ambiguity
Tim Tomov
Dominik Fuchsgruber
Tom Wollschlager
Stephan Günnemann
84
0
0
06 Nov 2025
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
Hanyu Zhu
Lance Fiondella
Jiawei Yuan
K. Zeng
Long Jiao
SILMAAMLKELM
185
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0
24 Oct 2025
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
Nishanth Nakshatri
Shamik Roy
Manoj Ghuhan Arivazhagan
Hanhan Zhou
Vinayshekhar Bannihatti Kumar
Rashmi Gangadharaiah
KELM
164
0
0
22 Oct 2025
That's Deprecated! Understanding, Detecting, and Steering Knowledge Conflicts in Language Models for Code Generation
That's Deprecated! Understanding, Detecting, and Steering Knowledge Conflicts in Language Models for Code Generation
Jaesung Bae
Cameron Churchwell
Mitchell Hermon
Tsun-An Hsieh
Jocelyn Xu
Yekaterina Yegorova
Mark Hasegawa-Johnson
Heng Ji
60
0
0
21 Oct 2025
Prior Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods
Prior Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods
Avrim Blum
Daniel Hsu
Cyrus Rashtchian
Donya Saless
68
0
0
18 Oct 2025
Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation
Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation
Linfeng Gao
Baolong Bi
Zheng Yuan
Le Wang
Zerui Chen
Zhimin Wei
Shenghua Liu
Qinggang Zhang
Jinsong Su
RALM
152
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0
14 Oct 2025
Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
Kurt Butler
Guanchao Feng
Petar M. Djurić
FAtt
148
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0
07 Oct 2025
AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems
AInstein: Assessing the Feasibility of AI-Generated Approaches to Research Problems
Shambhavi Mishra
Gaurav Sahu
M. Pedersoli
Laurent Charlin
Jose Dolz
Christopher Pal
LRM
68
0
0
06 Oct 2025
Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models
Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models
Jingyi Sun
Pepa Atanasova
Sagnik Ray Choudhury
Sekh Mainul Islam
Isabelle Augenstein
134
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0
03 Oct 2025
Mitigating Modal Imbalance in Multimodal Reasoning
Mitigating Modal Imbalance in Multimodal Reasoning
Chen Henry Wu
Neil Kale
Aditi Raghunathan
LRM
92
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0
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Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina J. Semnani
Jirayu Burapacheep
Arpandeep Khatua
Thanawan Atchariyachanvanit
Zheng Wang
M. Lam
KELM
84
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0
27 Sep 2025
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions
Xixun Lin
Yucheng Ning
Jingwen Zhang
Yan Dong
Y. Liu
...
Bin Wang
Yanan Cao
Kai-xiang Chen
Songlin Hu
Li Guo
LLMAGLRM
234
4
0
23 Sep 2025
How Persuasive is Your Context?
How Persuasive is Your Context?
Tu Nguyen
Kevin Du
Alexander Miserlis Hoyle
Ryan Cotterell
76
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REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
Nannan Huang
Haytham M. Fayek
Xiuzhen Zhang
72
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0
19 Sep 2025
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
Zineddine Tighidet
Andrea Mogini
Hedi Ben-younes
Jiali Mei
Patrick Gallinari
Benjamin Piwowarski
193
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Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
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Bhaskara Hanuma Vedula
Hemank Lamba
Edward Raff
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Francis Ferraro
Manas Gaur
143
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Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
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Minnan Luo
KELM
170
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Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
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Jun Bai
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Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
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Xianwei Xue
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193
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Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
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T. Qian
92
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Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
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KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs
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148
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MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
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Your AI, Not Your View: The Bias of LLMs in Investment Analysis
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Junhyuk Seo
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Wonbin Ahn
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Steering Information Utility in Key-Value Memory for Language Model Post-Training
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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
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Jian Pei
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Context-Informed Grounding Supervision
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Yunjae Won
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Minjoon Seo
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206
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The Compositional Architecture of Regret in Large Language Models
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FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
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