ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.13300
  4. Cited By
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 / 107 papers shown
HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models
HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models
Boya Zhang
Alban Bornet
Rui Yang
Nan Liu
Douglas Teodoro
132
0
0
02 Dec 2025
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
217
0
0
18 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
144
0
0
06 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
212
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
273
0
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
216
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
120
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
120
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
197
0
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
188
0
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
96
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
197
0
0
03 Oct 2025
Mitigating Modal Imbalance in Multimodal Reasoning
Mitigating Modal Imbalance in Multimodal Reasoning
Chen Henry Wu
Neil Kale
Aditi Raghunathan
LRM
145
1
0
02 Oct 2025
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
124
1
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
335
4
0
23 Sep 2025
How Persuasive is Your Context?
How Persuasive is Your Context?
Tu Nguyen
Kevin Du
Alexander Miserlis Hoyle
Ryan Cotterell
105
0
0
22 Sep 2025
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
128
1
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
225
2
0
12 Sep 2025
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
Seyedali Mohammadi
Bhaskara Hanuma Vedula
Hemank Lamba
Edward Raff
Ponnurangam Kumaraguru
Francis Ferraro
Manas Gaur
176
0
0
02 Sep 2025
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
Yilin Wang
Heng Wang
Yuyang Bai
Minnan Luo
KELM
290
2
0
27 Aug 2025
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
Jun Bai
Minghao Tong
Yang Liu
Zixia Jia
Zilong Zheng
MoE
298
3
0
27 Aug 2025
Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
Bolei He
Xinran He
Run Shao
Shanfu Shu
Xianwei Xue
Mingquan Cheng
Haifeng Li
Zhenhua Ling
RALMLRM
249
1
0
21 Aug 2025
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
Jiacheng Liu
Mayi Xu
Qiankun Pi
Wenli Li
Ming Zhong
Yuanyuan Zhu
Mengchi Liu
T. Qian
148
1
0
13 Aug 2025
Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
Shengbo Gong
Xianfeng Tang
Carl Yang
Wei Jin
LRM
142
0
0
04 Aug 2025
KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs
KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs
Xianda Zheng
Zijian Huang
Meng-Fen Chiang
Michael J. Witbrock
Kaiqi Zhao
232
0
0
02 Aug 2025
MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
Jungyeon Lee
Kangmin Lee
Taeuk Kim
326
0
0
29 Jul 2025
Your AI, Not Your View: The Bias of LLMs in Investment Analysis
Your AI, Not Your View: The Bias of LLMs in Investment Analysis
Hoyoung Lee
Junhyuk Seo
Suhwan Park
Junhyeong Lee
Wonbin Ahn
Chanyeol Choi
Alejandro Lopez-Lira
Yongjae Lee
AIFin
315
3
0
28 Jul 2025
Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to Misinformation
Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to MisinformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Kyubeen Han
Junseo Jang
Hongjin Kim
Geunyeong Jeong
Harksoo Kim
155
1
0
24 Jul 2025
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Chunyuan Deng
Ruidi Chang
Hanjie Chen
LLMSV
364
0
0
07 Jul 2025
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Yukun Huang
Sanxing Chen
Jian Pei
Manzil Zaheer
Bhuwan Dhingra
KELMHILMRALMLRM
407
0
0
21 Jun 2025
Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
Hyunji Lee
Seunghyun Yoon
Yunjae Won
Hanseok Oh
Geewook Kim
Trung H. Bui
Franck Dernoncourt
Elias Stengel-Eskin
Mohit Bansal
Minjoon Seo
LRM
246
2
0
18 Jun 2025
The Compositional Architecture of Regret in Large Language Models
The Compositional Architecture of Regret in Large Language Models
Xiangxiang Cui
Shu Yang
Tianjin Huang
Wanyu Lin
Lijie Hu
Haiyan Zhao
218
0
0
18 Jun 2025
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Qinggang Zhang
Zhishang Xiang
Yilin Xiao
Le Wang
Junhui Li
Xinrun Wang
Jinsong Su
233
9
0
10 Jun 2025
Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs
Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs
Atahan Özer
Çağatay Yıldız
KELM
182
1
0
08 Jun 2025
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
Yi Sui
Chaozhuo Li
Chen Zhang
D. Song
Qiuchi Li
190
1
0
06 Jun 2025
When to Trust Context: Self-Reflective Debates for Context Reliability
When to Trust Context: Self-Reflective Debates for Context Reliability
Zeqi Zhou
Fang Wu
Shayan Talaei
Haokai Zhao
Cheng Meixin
Tinson Xu
Amin Saberi
Yejin Choi
HILM
204
2
0
06 Jun 2025
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham
Nguyen Nguyen
Pratibha Zunjare
Weiyuan Chen
Yu-Min Tseng
Tu Vu
RALMReLMELMALMLRM
325
17
0
01 Jun 2025
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy AbstentionAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yuxi Sun
Aoqi Zuo
Wei Gao
Jing Ma
264
3
0
31 May 2025
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
Hao Chen
Shi Yu
Sen Mei
Wanxiang Che
Zhenghao Liu
...
Yuchun Fan
Pengcheng Huang
Qiushi Xiong
Zhiyuan Liu
Maosong Sun
LRM
333
0
0
30 May 2025
If Pigs Could Fly... Can LLMs Logically Reason Through Counterfactuals?
If Pigs Could Fly... Can LLMs Logically Reason Through Counterfactuals?
Ishwar B Balappanawar
Vamshi Krishna Bonagiri
Anish Joishy
Manas Gaur
K. Thirunarayan
Ponnurangam Kumaraguru
ReLMLRM
269
0
0
28 May 2025
Evaluating and Steering Modality Preferences in Multimodal Large Language Model
Evaluating and Steering Modality Preferences in Multimodal Large Language Model
Yu Zhang
Jinlong Ma
Yongshuai Hou
Xuefeng Bai
Kehai Chen
Yang Xiang
Jun Yu
Min Zhang
375
7
0
27 May 2025
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
Shuzheng Si
Haozhe Zhao
Cheng Gao
Yuzhuo Bai
Zhitong Wang
...
Gang Chen
Fanchao Qi
Minjia Zhang
Baobao Chang
Maosong Sun
SyDaHILM
291
4
0
22 May 2025
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Patrick Kahardipraja
Reduan Achtibat
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
345
4
0
21 May 2025
SAFE: Improving LLM Systems using Sentence-Level In-generation Attribution
SAFE: Improving LLM Systems using Sentence-Level In-generation Attribution
João Eduardo Batista
Emil Vatai
Mohamed Wahib
442
0
0
19 May 2025
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Lingxiao Diao
Xinyue Xu
Wanxuan Sun
Cheng Yang
Zhuosheng Zhang
LLMAGALMELM
350
4
0
16 May 2025
Towards Contamination Resistant Benchmarks
Towards Contamination Resistant Benchmarks
Rahmatullah Musawi
Sheng Lu
428
0
0
13 May 2025
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
Weiyi Wu
Xinwen Xu
Chongyang Gao
Xingjian Diao
Siting Li
Lucas A. Salas
Jiang Gui
379
2
0
12 May 2025
HalluLens: LLM Hallucination Benchmark
HalluLens: LLM Hallucination BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yejin Bang
Ziwei Ji
Alan Schelten
Anthony Hartshorn
Tara Fowler
Cheng Zhang
Nicola Cancedda
Pascale Fung
HILM
417
37
0
24 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 EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Xiaowei Yuan
Zhao Yang
Ziyang Huang
Yucheng Wang
Siqi Fan
Yiming Ju
Jun Zhao
Kang Liu
201
2
0
22 Apr 2025
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
Jiatai Wang
Zhiwei Xu
Di Jin
Xuewen Yang
Tao Li
RALM
335
2
0
17 Apr 2025
123
Next