Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Xuyang, Nian, Jinming, Wei, Ting-Ruen, Tao, Zhiqiang, Wu, Hsin-Tai, Fang, Yi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
by: Wei, Ting-Ruen, et al.
Published: (2025)

Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
by: Wu, Xuyang, et al.
Published: (2024)

Quantifying and Mitigating Self-Preference Bias of LLM Judges
by: Yang, Jinming, et al.
Published: (2026)

Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation
by: Luo, Guoqing, et al.
Published: (2025)

BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering
by: Miyazato, Ryuhei, et al.
Published: (2025)

Identifying and Mitigating Social Bias Knowledge in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)

Alleviating Choice Supportive Bias in LLM with Reasoning Dependency Generation
by: Zhuang, Nan, et al.
Published: (2025)

Evaluating Social Bias in RAG Systems: When External Context Helps and Reasoning Hurts
by: Parihar, Shweta, et al.
Published: (2026)

Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)

ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions
by: Peng, Zhiyuan, et al.
Published: (2024)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024)

No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
by: Kumar, Charaka Vinayak, et al.
Published: (2025)

Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction
by: Adeseye, Aisvarya, et al.
Published: (2026)

AGR: Age Group fairness Reward for Bias Mitigation in LLMs
by: Cao, Shuirong, et al.
Published: (2024)

Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
by: Pearman, Edie, et al.
Published: (2026)

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
by: Demchak, Nathaniel, et al.
Published: (2024)

DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning
by: Qiu, Hongye, et al.
Published: (2025)

Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)

Submodular Evaluation Subset Selection in Automatic Prompt Optimization
by: Nian, Jinming, et al.
Published: (2026)

An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation
by: Shirafuji, Daiki, et al.
Published: (2025)

More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)

Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
by: Wang, Yuan, et al.
Published: (2024)

Likelihood-based Mitigation of Evaluation Bias in Large Language Models
by: Oi, Masanari, et al.
Published: (2024)

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
by: Wu, Xuyang, et al.
Published: (2024)

LLM-Guided Synthetic Augmentation (LGSA) for Mitigating Bias in AI Systems
by: Karri, Sai Suhruth Reddy, et al.
Published: (2025)

Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge
by: Fujinuma, Yoshinari
Published: (2025)

Reasoning Isn't Enough: Examining Truth-Bias and Sycophancy in LLMs
by: Barkett, Emilio, et al.
Published: (2025)

On the Inductive Bias of Stacking Towards Improving Reasoning
by: Saunshi, Nikunj, et al.
Published: (2024)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
by: Huan, Maggie, et al.
Published: (2025)

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
by: Xu, Ziyang, et al.
Published: (2024)

Mitigating Bias for Question Answering Models by Tracking Bias Influence
by: Ma, Mingyu Derek, et al.
Published: (2023)

Tracing Partisan Bias to Its Emotional Fingerprints: A Computational Approach to Mitigation
by: Liu, Junjie, et al.
Published: (2025)

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
by: Lai, Peng, et al.
Published: (2026)

Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought
by: Chua, James, et al.
Published: (2024)

Table Transformers for Imputing Textual Attributes
by: Wei, Ting-Ruen, et al.
Published: (2024)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
by: Chand, Shireen, et al.
Published: (2025)

Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias
by: Ke, Yu He, et al.
Published: (2024)

Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck
by: Zhang, Hongbin, et al.
Published: (2026)

HPE-CogVLM: Advancing Vision Language Models with a Head Pose Grounding Task
by: Tian, Yu, et al.
Published: (2024)

When Wording Steers the Evaluation: Framing Bias in LLM judges
by: Hwang, Yerin, et al.
Published: (2026)