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Large Language Models Can be Lazy Learners: Analyze Shortcuts in
  In-Context Learning

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

26 May 2023
Ruixiang Tang
Dehan Kong
Lo-li Huang
Hui Xue
ArXivPDFHTML

Papers citing "Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning"

46 / 46 papers shown
Title
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
57
0
0
17 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
Lili Zhao
Qi Liu
Wei-neng Chen
Lu Chen
R.-H. Sun
Min Hou
Yang Wang
Shijin Wang
31
0
0
14 Apr 2025
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
Zhenting Wang
Zhongxin Liu
Ying Li
Hongyu Sun
Meng Xu
Yuqing Zhang
HILM
53
0
0
25 Mar 2025
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
Nakyeong Yang
Minsung Kim
Seunghyun Yoon
Joongbo Shin
Kyomin Jung
KELM
MU
67
0
0
26 Feb 2025
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring
Xuansheng Wu
Padmaja Pravin Saraf
Gyeong-Geon Lee
Ehsan Latif
Ninghao Liu
Xiaoming Zhai
60
4
0
24 Feb 2025
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Guangxin He
Zonghong Dai
Jiangcheng Zhu
Binqiang Zhao
Qicheng Hu
Chenyue Li
You Peng
Chen Wang
Binhang Yuan
69
0
0
31 Dec 2024
Conceptual In-Context Learning and Chain of Concepts: Solving Complex
  Conceptual Problems Using Large Language Models
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
Nishtha N. Vaidya
Thomas Runkler
Thomas Hubauer
Veronika Haderlein-Hoegberg
Maja Mlicic Brandt
LRM
80
0
0
19 Dec 2024
Do Large Language Models Perform Latent Multi-Hop Reasoning without
  Exploiting Shortcuts?
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
Sohee Yang
Nora Kassner
E. Gribovskaya
Sebastian Riedel
Mor Geva
KELM
LRM
ReLM
78
5
0
25 Nov 2024
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Huaizhi Ge
Yiming Li
Qifan Wang
Yongfeng Zhang
Ruixiang Tang
AAML
SILM
86
0
0
19 Nov 2024
Shortcut Learning in In-Context Learning: A Survey
Shortcut Learning in In-Context Learning: A Survey
Rui Song
Yingji Li
Fausto Giunchiglia
Fausto Giunchiglia
Hao Xu
45
2
0
04 Nov 2024
Generating Synthetic Datasets for Few-shot Prompt Tuning
Generating Synthetic Datasets for Few-shot Prompt Tuning
Xu Guo
Zilin Du
Boyang Li
Chunyan Miao
42
1
0
08 Oct 2024
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut
  Learning in Text Classification by Language Models
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models
Yuqing Zhou
Ruixiang Tang
Ziyu Yao
Ziwei Zhu
39
2
0
26 Sep 2024
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors
  in Pretrained Language Models
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
Pengrui Han
Peiyang Song
Haofei Yu
Jiaxuan You
ReLM
LRM
31
1
0
23 Sep 2024
Toward the Evaluation of Large Language Models Considering Score
  Variance across Instruction Templates
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
Yusuke Sakai
Adam Nohejl
Jiangnan Hang
Hidetaka Kamigaito
Taro Watanabe
ELM
36
2
0
22 Aug 2024
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Lexin Zhou
Youmna Farag
Andreas Vlachos
47
2
0
20 Jun 2024
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun
  Rebus Art Understanding
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding
Tuo Zhang
Tiantian Feng
Yibin Ni
Mengqin Cao
Ruying Liu
Katharine Butler
Yanjun Weng
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
57
2
0
14 Jun 2024
Efficiently Exploring Large Language Models for Document-Level Machine
  Translation with In-context Learning
Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning
Menglong Cui
Jiangcun Du
Shaolin Zhu
Deyi Xiong
29
11
0
11 Jun 2024
What Makes Language Models Good-enough?
What Makes Language Models Good-enough?
Daiki Asami
Saku Sugawara
37
1
0
06 Jun 2024
Mitigate Position Bias in Large Language Models via Scaling a Single
  Dimension
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
Yijiong Yu
Huiqiang Jiang
Xufang Luo
Qianhui Wu
Chin-Yew Lin
Dongsheng Li
Yuqing Yang
Yongfeng Huang
L. Qiu
48
9
0
04 Jun 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language
  Models
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
Meftahul Ferdaus
Mahdi Abdelguerfi
Elias Ioup
Kendall N. Niles
Ken Pathak
Steve Sloan
39
11
0
01 Jun 2024
Does learning the right latent variables necessarily improve in-context
  learning?
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal
Eric Elmoznino
Léo Gagnon
Sangnie Bhardwaj
Dhanya Sridhar
Guillaume Lajoie
34
4
0
29 May 2024
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubić
Federico Soldá
Aurelio Sulser
Davide Scaramuzza
LRM
BDL
52
5
0
26 May 2024
Securing Large Language Models: Threats, Vulnerabilities and Responsible
  Practices
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali
Richard Anarfi
C. Barberan
Jia He
PILM
73
24
0
19 Mar 2024
Rectifying Demonstration Shortcut in In-Context Learning
Rectifying Demonstration Shortcut in In-Context Learning
Joonwon Jang
Sanghwan Jang
Wonbin Kweon
Minjin Jeon
Hwanjo Yu
37
1
0
14 Mar 2024
LLM Task Interference: An Initial Study on the Impact of Task-Switch in
  Conversational History
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Akash Gupta
Ivaxi Sheth
Vyas Raina
Mark J. F. Gales
Mario Fritz
43
4
0
28 Feb 2024
SLANG: New Concept Comprehension of Large Language Models
SLANG: New Concept Comprehension of Large Language Models
Lingrui Mei
Shenghua Liu
Yiwei Wang
Baolong Bi
Xueqi Chen
KELM
40
5
0
23 Jan 2024
Comparable Demonstrations are Important in In-Context Learning: A Novel
  Perspective on Demonstration Selection
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection
Caoyun Fan
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
37
4
0
12 Dec 2023
TMID: A Comprehensive Real-world Dataset for Trademark Infringement
  Detection in E-Commerce
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce
Tongxin Hu
Zhuang Li
Xin Jin
Lizhen Qu
Xin Zhang
27
2
0
08 Dec 2023
Positional Information Matters for Invariant In-Context Learning: A Case
  Study of Simple Function Classes
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes
Yongqiang Chen
Binghui Xie
Kaiwen Zhou
Bo Han
Yatao Bian
James Cheng
35
3
0
30 Nov 2023
Explore Spurious Correlations at the Concept Level in Language Models
  for Text Classification
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
Yuhang Zhou
Paiheng Xu
Xiaoyu Liu
Bang An
Wei Ai
Furong Huang
LRM
71
20
0
15 Nov 2023
Reinforcement Learning Fine-tuning of Language Models is Biased Towards
  More Extractable Features
Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features
Diogo Cruz
Edoardo Pona
Alex Holness-Tofts
Elias Schmied
Víctor Abia Alonso
Charlie Griffin
B. Cirstea
38
0
0
07 Nov 2023
The Mystery of In-Context Learning: A Comprehensive Survey on
  Interpretation and Analysis
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Yuxiang Zhou
Jiazheng Li
Yanzheng Xiang
Hanqi Yan
Lin Gui
Yulan He
24
14
0
01 Nov 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained
  Language Models through Honeypots
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
Ruixiang Tang
Jiayi Yuan
Yiming Li
Zirui Liu
Rui Chen
Xia Hu
AAML
36
13
0
28 Oct 2023
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal
  Scenarios Like a Lawyer?
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
Xiaoxi Kang
Lizhen Qu
Lay-Ki Soon
Adnan Trakic
Terry Yue Zhuo
Patrick Charles Emerton
Genevieve Grant
LRM
AILaw
ELM
123
13
0
23 Oct 2023
Brain in a Vat: On Missing Pieces Towards Artificial General
  Intelligence in Large Language Models
Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models
Yuxi Ma
Chi Zhang
Song-Chun Zhu
ELM
ALM
40
8
0
07 Jul 2023
Robust Prompt Optimization for Large Language Models Against
  Distribution Shifts
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
Moxin Li
Wenjie Wang
Fuli Feng
Yixin Cao
Jizhi Zhang
Tat-Seng Chua
OffRL
42
15
0
23 May 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
139
626
0
26 Apr 2023
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
464
0
31 Dec 2022
Rectify ViT Shortcut Learning by Visual Saliency
Rectify ViT Shortcut Learning by Visual Saliency
Chong Ma
Lin Zhao
Yuzhong Chen
David Liu
Xi Jiang
Tuo Zhang
Xintao Hu
Dinggang Shen
Dajiang Zhu
Tianming Liu
ViT
33
20
0
17 Jun 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
395
8,559
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,661
0
15 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
236
157
0
15 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text
  Style Transfer
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Fanchao Qi
Yangyi Chen
Xurui Zhang
Mukai Li
Zhiyuan Liu
Maosong Sun
AAML
SILM
82
175
0
14 Oct 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
1,996
0
31 Dec 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
419
2,588
0
03 Sep 2019
1