Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Guoqing, Maab, Iffat, Mou, Lili, Yamagishi, Junichi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)
by: Chen, Yuxing, et al.
Published: (2026)
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
by: Huang, Nannan, et al.
Published: (2026)
by: Huang, Nannan, et al.
Published: (2026)
Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs
by: Sahitaj, Premtim, et al.
Published: (2025)
by: Sahitaj, Premtim, et al.
Published: (2025)
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
by: Varnosfaderani, Shirin Dabbaghi, et al.
Published: (2024)
by: Varnosfaderani, Shirin Dabbaghi, et al.
Published: (2024)
Identifying and Mitigating Social Bias Knowledge in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)
by: Chen, Ruizhe, et al.
Published: (2024)
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
by: Wu, Xuyang, et al.
Published: (2025)
by: Wu, Xuyang, et al.
Published: (2025)
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
by: Li, Dongheng, et al.
Published: (2024)
by: Li, Dongheng, et al.
Published: (2024)
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
by: Wu, Zijun, et al.
Published: (2023)
by: Wu, Zijun, et al.
Published: (2023)
Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
by: Wei, Kangda, et al.
Published: (2025)
by: Wei, Kangda, et al.
Published: (2025)
An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation
by: Shirafuji, Daiki, et al.
Published: (2025)
by: Shirafuji, Daiki, et al.
Published: (2025)
More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)
by: Wang, Xiao
Published: (2026)
DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Demonstration and Reasoning
by: Qiu, Hongye, et al.
Published: (2025)
by: Qiu, Hongye, et al.
Published: (2025)
Locating and Mitigating Gender Bias in Large Language Models
by: Cai, Yuchen, et al.
Published: (2024)
by: Cai, Yuchen, et al.
Published: (2024)
Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
by: Singla, Pratham, et al.
Published: (2025)
by: Singla, Pratham, et al.
Published: (2025)
DunbaaBERT: From Sacrifice to Semantics
by: Maab, Iffat, et al.
Published: (2026)
by: Maab, Iffat, et al.
Published: (2026)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)
by: Kabra, Sanchit, et al.
Published: (2025)
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
by: Oi, Masanari, et al.
Published: (2024)
by: Oi, Masanari, et al.
Published: (2024)
InvThink: Premortem Reasoning for Safer Language Models
by: Kim, Yubin, et al.
Published: (2025)
by: Kim, Yubin, et al.
Published: (2025)
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
by: Chen, Ruizhe, et al.
Published: (2024)
by: Chen, Ruizhe, et al.
Published: (2024)
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
by: Shirafuji, Daiki, et al.
Published: (2024)
by: Shirafuji, Daiki, et al.
Published: (2024)
Understanding and Mitigating Tokenization Bias in Language Models
by: Phan, Buu, et al.
Published: (2024)
by: Phan, Buu, et al.
Published: (2024)
Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)
by: Elenjical, Abraham Paul, et al.
Published: (2026)
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, et al.
Published: (2025)
Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge
by: Zhou, Xiaolin, et al.
Published: (2026)
by: Zhou, Xiaolin, et al.
Published: (2026)
Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing
by: Shayegh, Behzad, et al.
Published: (2024)
by: Shayegh, Behzad, et al.
Published: (2024)
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
by: Parihar, Shweta, et al.
Published: (2026)
by: Parihar, Shweta, et al.
Published: (2026)
MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
by: Xi, Ningyuan, et al.
Published: (2024)
by: Xi, Ningyuan, et al.
Published: (2024)
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
by: Saito, Kuniaki, et al.
Published: (2024)
by: Saito, Kuniaki, et al.
Published: (2024)
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)
by: Cheng, Xiaoxue, et al.
Published: (2025)
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
by: Qin, Zhanyue, et al.
Published: (2025)
by: Qin, Zhanyue, et al.
Published: (2025)
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
by: Xu, Yue, et al.
Published: (2025)
by: Xu, Yue, et al.
Published: (2025)
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
by: Lu, Zhenyi, et al.
Published: (2024)
by: Lu, Zhenyi, et al.
Published: (2024)
Controlling Thinking Speed in Reasoning Models
by: Lin, Zhengkai, et al.
Published: (2025)
by: Lin, Zhengkai, et al.
Published: (2025)
Mitigating Social Biases in Language Models through Unlearning
by: Dige, Omkar, et al.
Published: (2024)
by: Dige, Omkar, et al.
Published: (2024)
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
by: Nghiem, Huy, et al.
Published: (2024)
by: Nghiem, Huy, et al.
Published: (2024)
Modeling Hierarchical Thinking in Large Reasoning Models
by: Shahariar, G M, et al.
Published: (2025)
by: Shahariar, G M, et al.
Published: (2025)
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)
by: Gong, Nanxu, et al.
Published: (2026)
Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
by: Guan, Weixin, et al.
Published: (2026)
by: Guan, Weixin, et al.
Published: (2026)
Similar Items
-
Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026) -
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
by: Huang, Nannan, et al.
Published: (2026) -
Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs
by: Sahitaj, Premtim, et al.
Published: (2025) -
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
by: Varnosfaderani, Shirin Dabbaghi, et al.
Published: (2024) -
Identifying and Mitigating Social Bias Knowledge in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)