Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing

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Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing

22 May 2025

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Papers citing "Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing"

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Title
FairFlow: Mitigating Dataset Biases through Undecided Learning Jiali Cheng Hadi Amiri FedML 62 2 0 22 Mar 2025
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models Yuqing Zhou Ruixiang Tang Ziyu Yao Ziwei Zhu 88 4 0 26 Sep 2024
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation Hanzhang Zhou Zijian Feng Zixiao Zhu Junlang Qian Kezhi Mao 72 10 0 31 May 2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said Yejin Bang Delong Chen Nayeon Lee Pascale Fung 75 39 0 27 Mar 2024
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination Nakyeong Yang Taegwan Kang Stanley Jungkyu Choi Honglak Lee Kyomin Jung 27 10 0 16 Nov 2023
Social Bias Probing: Fairness Benchmarking for Language Models Marta Marchiori Manerba Karolina Stañczak Riccardo Guidotti Isabelle Augenstein 68 19 0 15 Nov 2023
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 122 27 0 15 Nov 2023
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering Han Zhou Xingchen Wan Lev Proleev Diana Mincu Jilin Chen Katherine A. Heller Subhrajit Roy UQLM 62 60 0 29 Sep 2023
Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels Panatchakorn Anantaprayoon Masahiro Kaneko Naoaki Okazaki 98 18 0 18 Sep 2023
Bias in News Summarization: Measures, Pitfalls and Corpora Julius Steen Katja Markert 64 6 0 14 Sep 2023
A Survey on Popularity Bias in Recommender Systems Anastasiia Klimashevskaia Dietmar Jannach Mehdi Elahi C. Trattner 173 40 0 02 Aug 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 391 4,388 0 09 Jun 2023
Mitigating Label Biases for In-context Learning Yu Fei Buse Giledereli Zeming Chen Antoine Bosselut 65 76 0 28 May 2023
Sources of Hallucination by Large Language Models on Inference Tasks Nick McKenna Tianyi Li Liang Cheng Mohammad Javad Hosseini Mark Johnson Mark Steedman LRM HILM 61 200 0 23 May 2023
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 306 386 0 28 Feb 2021
On Measuring and Mitigating Biased Inferences of Word Embeddings Sunipa Dev Tao Li J. M. Phillips Vivek Srikumar 76 174 0 25 Aug 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 139 1,242 0 04 Feb 2019
Annotation Artifacts in Natural Language Inference Data Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith 152 1,180 0 06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,492 0 18 Apr 2017