Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Luo, Guoqing, Maab, Iffat, Mou, Lili, Yamagishi, Junichi
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
von: Huang, Nannan, et al.
Veröffentlicht: (2026)

Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs
von: Sahitaj, Premtim, et al.
Veröffentlicht: (2025)

Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
von: Varnosfaderani, Shirin Dabbaghi, et al.
Veröffentlicht: (2024)

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

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
von: Wu, Xuyang, et al.
Veröffentlicht: (2025)

LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
von: Li, Dongheng, et al.
Veröffentlicht: (2024)

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
von: Wu, Zijun, et al.
Veröffentlicht: (2023)

Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
von: Wei, Kangda, et al.
Veröffentlicht: (2025)

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

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

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

Locating and Mitigating Gender Bias in Large Language Models
von: Cai, Yuchen, et al.
Veröffentlicht: (2024)

Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
von: Singla, Pratham, et al.
Veröffentlicht: (2025)

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

DunbaaBERT: From Sacrifice to Semantics
von: Maab, Iffat, et al.
Veröffentlicht: (2026)

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

InvThink: Premortem Reasoning for Safer Language Models
von: Kim, Yubin, et al.
Veröffentlicht: (2025)

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
von: Chen, Ruizhe, et al.
Veröffentlicht: (2024)

Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
von: Shirafuji, Daiki, et al.
Veröffentlicht: (2024)

Understanding and Mitigating Tokenization Bias in Language Models
von: Phan, Buu, et al.
Veröffentlicht: (2024)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
von: Elenjical, Abraham Paul, et al.
Veröffentlicht: (2026)

AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
von: Wan, Xu, et al.
Veröffentlicht: (2025)

Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge
von: Zhou, Xiaolin, et al.
Veröffentlicht: (2026)

Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing
von: Shayegh, Behzad, et al.
Veröffentlicht: (2024)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
von: Zhang, Tao, et al.
Veröffentlicht: (2024)

Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
von: Parihar, Shweta, et al.
Veröffentlicht: (2026)

MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
von: Xi, Ningyuan, et al.
Veröffentlicht: (2024)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
von: Zhao, Jun, et al.
Veröffentlicht: (2024)

Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
von: Saito, Kuniaki, et al.
Veröffentlicht: (2024)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
von: Cheng, Xiaoxue, et al.
Veröffentlicht: (2025)

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models
von: Qin, Zhanyue, et al.
Veröffentlicht: (2025)

Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
von: Xu, Yue, et al.
Veröffentlicht: (2025)

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
von: Lu, Zhenyi, et al.
Veröffentlicht: (2024)

Controlling Thinking Speed in Reasoning Models
von: Lin, Zhengkai, et al.
Veröffentlicht: (2025)

Mitigating Social Biases in Language Models through Unlearning
von: Dige, Omkar, et al.
Veröffentlicht: (2024)

"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
von: Nghiem, Huy, et al.
Veröffentlicht: (2024)

Modeling Hierarchical Thinking in Large Reasoning Models
von: Shahariar, G M, et al.
Veröffentlicht: (2025)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
von: Gong, Nanxu, et al.
Veröffentlicht: (2026)

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
von: Guan, Weixin, et al.
Veröffentlicht: (2026)