Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models

16 May 2024

Papers citing "Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models"

8 / 8 papers shown

Title
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness Chandan Kumar Sah Xiaoli Lian Tony Xu Li Zhang 26 0 0 10 Apr 2025
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning Sanchit Kabra Akshita Jha Chandan K. Reddy LRM 24 0 0 08 Apr 2025
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models Suyoung Bae YunSeok Choi Jee-Hyong Lee 42 0 0 25 Mar 2025
Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes M. Kamruzzaman Gene Louis Kim 37 15 0 26 Apr 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 206 615 0 03 Sep 2019