Bias Testing and Mitigation in LLM-based Code Generation

3 September 2023

Heming Cui

Papers citing "Bias Testing and Mitigation in LLM-based Code Generation"

21 / 21 papers shown

Title
LLMs Love Python: A Study of LLMs' Bias for Programming Languages and Libraries Lukas Twist Jie M. Zhang Mark Harman Don Syme Joost Noppen Detlef Nauck 39 0 0 21 Mar 2025
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications Nam Huynh Beiyu Lin LM&MA 63 18 0 03 Mar 2025
Towards Advancing Code Generation with Large Language Models: A Research Roadmap Haolin Jin Huaming Chen Qinghua Lu Liming Zhu LLMAG 34 1 0 20 Jan 2025
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions Rajesh Ranjan Shailja Gupta Surya Narayan Singh 23 8 0 24 Sep 2024
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions Robert D Morabito Sangmitra Madhusudan Tyler McDonald Ali Emami 16 0 0 20 Sep 2024
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey Md. Nazmus Sakib Md Athikul Islam Royal Pathak Md Mashrur Arifin ALM PILM 24 1 0 01 Aug 2024
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization Ahmed Allam 30 8 0 18 Jul 2024
White Men Lead, Black Women Help? Benchmarking Language Agency Social Biases in LLMs Yixin Wan Kai-Wei Chang 19 3 0 16 Apr 2024
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming Simone Tedeschi Felix Friedrich P. Schramowski Kristian Kersting Roberto Navigli Huu Nguyen Bo Li ELM 23 36 0 06 Apr 2024
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification Garima Chhikara Anurag Sharma Kripabandhu Ghosh Abhijnan Chakraborty 21 13 0 28 Feb 2024
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries Somnath Banerjee Sayan Layek Rima Hazra Animesh Mukherjee 19 10 0 23 Feb 2024
EffiBench: Benchmarking the Efficiency of Automatically Generated Code Dong Huang Yuhao Qing Weiyi Shang Heming Cui Jie M. Zhang 71 10 0 03 Feb 2024
"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education Kyrie Zhixuan Zhou Zachary Kilhoffer M. Sanfilippo Ted Underwood Ece Gumusel Mengyi Wei Abhinav Choudhry Jinjun Xiong 26 11 0 23 Jan 2024
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages Erik Nijkamp A. Ghobadzadeh Caiming Xiong Silvio Savarese Yingbo Zhou 130 163 0 03 May 2023
Efficient Few-Shot Learning Without Prompts Lewis Tunstall Nils Reimers Unso Eun Seo Jo Luke Bates Daniel Korat Moshe Wasserblat Oren Pereg VLM 26 180 0 22 Sep 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 130 115 0 16 Sep 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 3,163 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
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 315 8,261 0 28 Jan 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 196 1,451 0 02 Sep 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 283 4,143 0 23 Aug 2019