ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.04141
  4. Cited By
Cognitive Debiasing Large Language Models for Decision-Making
v1v2v3 (latest)

Cognitive Debiasing Large Language Models for Decision-Making

5 April 2025
Yougang Lyu
Shijie Ren
Yue Feng
Zihan Wang
Zhongfu Chen
Zhaochun Ren
Maarten de Rijke
ArXiv (abs)PDFHTML

Papers citing "Cognitive Debiasing Large Language Models for Decision-Making"

50 / 73 papers shown
Title
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
Zihan Wang
Ziqi Zhao
Yougang Lyu
Ziyang Chen
Maarten de Rijke
Zhaochun Ren
132
4
0
25 Feb 2025
Future of Information Retrieval Research in the Age of Generative AI
Future of Information Retrieval Research in the Age of Generative AI
James Allan
Eunsol Choi
Daniel P. Lopresti
Hamed Zamani
110
5
0
03 Dec 2024
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu
Jiayi Geng
Addison J. Wu
Ilia Sucholutsky
Tania Lombrozo
Thomas Griffiths
ReLMLRM
151
33
0
27 Oct 2024
A Comprehensive Evaluation of Cognitive Biases in LLMs
A Comprehensive Evaluation of Cognitive Biases in LLMs
Simon Malberg
Roman Poletukhin
Carolin M. Schuster
Georg Groh
ELM
102
7
0
20 Oct 2024
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
Yougang Lyu
Lingyong Yan
Zihan Wang
D. Yin
Pengjie Ren
Maarten de Rijke
Zhaochun Ren
155
10
0
10 Oct 2024
Cognitive Biases in Large Language Models for News Recommendation
Cognitive Biases in Large Language Models for News Recommendation
Yougang Lyu
Xiaoyu Zhang
Zhaochun Ren
Maarten de Rijke
92
4
0
03 Oct 2024
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
Jiayi Ye
Yanbo Wang
Yue Huang
Dongping Chen
Qihui Zhang
...
Werner Geyer
Chao Huang
Pin-Yu Chen
Nitesh Chawla
Xiangliang Zhang
ELM
130
78
0
03 Oct 2024
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming
  in LLM-Based Batch Relevance Assessment
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
Nuo Chen
Jiqun Liu
Xiaoyu Dong
Qijiong Liu
Tetsuya Sakai
Xiao-Ming Wu
88
12
0
24 Sep 2024
Towards a Unified View of Preference Learning for Large Language Models:
  A Survey
Towards a Unified View of Preference Learning for Large Language Models: A Survey
Bofei Gao
Feifan Song
Yibo Miao
Zefan Cai
Zhiyong Yang
...
Houfeng Wang
Zhifang Sui
Peiyi Wang
Baobao Chang
Baobao Chang
155
14
0
04 Sep 2024
Towards Investigating Biases in Spoken Conversational Search
Towards Investigating Biases in Spoken Conversational Search
Sachin Pathiyan Cherumanal
Falk Scholer
Johanne Trippas
Damiano Spina
98
3
0
02 Sep 2024
Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency,
  Performance, and Adversarial Robustness
Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness
Xiaojing Fan
Chunliang Tao
AAML
77
30
0
08 Aug 2024
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational
  Search
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
Kaixin Ji
Sachin Pathiyan Cherumanal
Johanne R. Trippas
Danula Hettiachchi
Flora D. Salim
Falk Scholer
Damiano Spina
86
11
0
21 May 2024
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference
  Learning
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
Yuxi Xie
Anirudh Goyal
Wenyue Zheng
Min-Yen Kan
Timothy Lillicrap
Kenji Kawaguchi
Michael Shieh
ReLMLRM
143
126
0
01 May 2024
LLM Evaluators Recognize and Favor Their Own Generations
LLM Evaluators Recognize and Favor Their Own Generations
Arjun Panickssery
Samuel R. Bowman
Shi Feng
124
197
0
15 Apr 2024
Measuring Political Bias in Large Language Models: What Is Said and How
  It Is Said
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
Yejin Bang
Delong Chen
Nayeon Lee
Pascale Fung
85
41
0
27 Mar 2024
Cognitively Biased Users Interacting with Algorithmically Biased Results
  in Whole-Session Search on Debated Topics
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics
Ben Wang
Jiqun Liu
49
6
0
26 Mar 2024
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
Wenda Xu
Guanglei Zhu
Xuandong Zhao
Liangming Pan
Lei Li
Wenjie Wang
106
63
0
18 Feb 2024
ICDPO: Effectively Borrowing Alignment Capability of Others via
  In-context Direct Preference Optimization
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Feifan Song
Yuxuan Fan
Xin Zhang
Peiyi Wang
Houfeng Wang
66
9
0
14 Feb 2024
Addressing cognitive bias in medical language models
Addressing cognitive bias in medical language models
Samuel Schmidgall
Carl Harris
Ime Essien
Daniel Olshvang
Tawsifur Rahman
Ji Woong Kim
Rojin Ziaei
Jason K. Eshraghian
Peter M Abadir
Rama Chellappa
ELM
107
27
0
12 Feb 2024
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Zhihong Shao
Peiyi Wang
Qihao Zhu
Runxin Xu
Jun-Mei Song
...
Haowei Zhang
Mingchuan Zhang
Yiming Li
Yu-Huan Wu
Daya Guo
ReLMLRM
203
1,288
0
05 Feb 2024
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Pranab Sahoo
Ayush Kumar Singh
Sriparna Saha
Vinija Jain
S. Mondal
Aman Chadha
176
340
0
05 Feb 2024
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving
  as Human Learners?
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal
Alessandro Stolfo
Haruki Shirakami
Ying Jiao
Ryan Cotterell
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
127
16
0
31 Jan 2024
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Yougang Lyu
Jitai Hao
Zihan Wang
Kai Zhao
Shen Gao
Pengjie Ren
Zhumin Chen
Fang Wang
Zhaochun Ren
AILaw
66
10
0
10 Dec 2023
Do LLMs exhibit human-like response biases? A case study in survey
  design
Do LLMs exhibit human-like response biases? A case study in survey design
Lindia Tjuatja
Valerie Chen
Sherry Tongshuang Wu
Ameet Talwalkar
Graham Neubig
122
102
0
07 Nov 2023
Improving Conversational Recommendation Systems via Bias Analysis and
  Language-Model-Enhanced Data Augmentation
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
Xi Wang
Hossein A. Rahmani
Jiqun Liu
Emine Yilmaz
73
12
0
25 Oct 2023
Unleashing the potential of prompt engineering in Large Language Models:
  a comprehensive review
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Banghao Chen
Zhaofeng Zhang
Nicolas Langrené
Shengxin Zhu
LLMAG
112
13
0
23 Oct 2023
Benchmarking Cognitive Biases in Large Language Models as Evaluators
Benchmarking Cognitive Biases in Large Language Models as Evaluators
Ryan Koo
Minhwa Lee
Vipul Raheja
Jong Inn Park
Zae Myung Kim
Dongyeop Kang
ALM
114
87
0
29 Sep 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos
Ryan Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
140
612
0
02 Sep 2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo
Qingfeng Sun
Can Xu
Pu Zhao
Jian-Guang Lou
...
Xiubo Geng
Qingwei Lin
Shifeng Chen
Yansong Tang
Dongmei Zhang
LRMOSLM
303
468
0
18 Aug 2023
Large Language Models for Information Retrieval: A Survey
Large Language Models for Information Retrieval: A Survey
Yutao Zhu
Huaying Yuan
Shuting Wang
Jiongnan Liu
Wenhan Liu
Chenlong Deng
Haonan Chen
Zhicheng Dou
Ji-Rong Wen
KELM
178
316
0
14 Aug 2023
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent
  Cognitive Bias
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
Itay Itzhak
Gabriel Stanovsky
Nir Rosenfeld
Yonatan Belinkov
114
26
0
01 Aug 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo
Can Xu
Pu Zhao
Qingfeng Sun
Xiubo Geng
Wenxiang Hu
Chongyang Tao
Jing Ma
Qingwei Lin
Daxin Jiang
ELMSyDaALM
202
698
0
14 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
146
84
0
07 Jun 2023
A Survey on Large Language Models for Recommendation
A Survey on Large Language Models for Recommendation
Likang Wu
Zhilan Zheng
Zhaopeng Qiu
Hao Wang
Hongchao Gu
...
Chen Zhu
Hengshu Zhu
Qi Liu
Hui Xiong
Enhong Chen
178
404
0
31 May 2023
Encouraging Divergent Thinking in Large Language Models through
  Multi-Agent Debate
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Tian Liang
Zhiwei He
Wenxiang Jiao
Xing Wang
Rui Wang
Yujiu Yang
Zhaopeng Tu
Shuming Shi
LLMAGLRM
131
497
0
30 May 2023
Improving Factuality and Reasoning in Language Models through Multiagent
  Debate
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du
Shuang Li
Antonio Torralba
J. Tenenbaum
Igor Mordatch
LLMAGLRM
184
751
0
23 May 2023
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis
Agam Shah
Suvan Paturi
Sudheer Chava
AIFin
54
51
0
13 May 2023
Do Large Language Models Show Decision Heuristics Similar to Humans? A
  Case Study Using GPT-3.5
Do Large Language Models Show Decision Heuristics Similar to Humans? A Case Study Using GPT-3.5
Gaurav Suri
Lily R. Slater
Ali Ziaee
Morgan Nguyen
ELM
94
63
0
08 May 2023
Language Models Don't Always Say What They Think: Unfaithful
  Explanations in Chain-of-Thought Prompting
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Miles Turpin
Julian Michael
Ethan Perez
Sam Bowman
ReLMLRM
120
444
0
07 May 2023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reid Pryzant
Dan Iter
Jerry Li
Y. Lee
Chenguang Zhu
Michael Zeng
94
359
0
04 May 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
  Large Language Models for Code Generation
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu
Chun Xia
Yuyao Wang
Lingming Zhang
ELMALM
289
972
0
02 May 2023
Teaching Large Language Models to Self-Debug
Teaching Large Language Models to Self-Debug
Xinyun Chen
Maxwell Lin
Nathanael Scharli
Denny Zhou
LRM
151
711
0
11 Apr 2023
Self-Refine: Iterative Refinement with Self-Feedback
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan
Niket Tandon
Prakhar Gupta
Skyler Hallinan
Luyu Gao
...
Bodhisattwa Prasad Majumder
Katherine Hermann
Sean Welleck
Amir Yazdanbakhsh
Peter Clark
ReLMLRMDiffM
248
1,688
0
30 Mar 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
248
855
0
30 Mar 2023
Reflexion: Language Agents with Verbal Reinforcement Learning
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn
Federico Cassano
Beck Labash
A. Gopinath
Karthik Narasimhan
Shunyu Yao
LLMAGKELM
145
1,328
0
20 Mar 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
ReLMAIMat
155
547
0
31 Dec 2022
Variational Reasoning over Incomplete Knowledge Graphs for
  Conversational Recommendation
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Xiaoyu Zhang
Xin Xin
Dongdong Li
Wenxuan Liu
Pengjie Ren
Zhumin Chen
Jun Ma
Zhaochun Ren
136
37
0
22 Dec 2022
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in
  Zero-Shot Reasoning
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Omar Shaikh
Hongxin Zhang
William B. Held
Michael S. Bernstein
Diyi Yang
ReLMLRM
162
200
0
15 Dec 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAGReLMLRM
475
3,006
0
06 Oct 2022
Counterfactually Measuring and Eliminating Social Bias in
  Vision-Language Pre-training Models
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models
Yi Zhang
Junyan Wang
Jitao Sang
93
28
0
03 Jul 2022
12
Next