Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Kabra, Sanchit, Jha, Akshita, Reddy, Chandan K. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024)
by: Jha, Akshita, et al.
Published: (2024)
Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)
by: Khatir, Mehrdad, et al.
Published: (2024)
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
by: Abhyankar, Nikhil, et al.
Published: (2024)
by: Abhyankar, Nikhil, et al.
Published: (2024)
On the Inductive Bias of Stacking Towards Improving Reasoning
by: Saunshi, Nikunj, et al.
Published: (2024)
by: Saunshi, Nikunj, et al.
Published: (2024)
LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
by: Kabra, Sanchit, et al.
Published: (2026)
by: Kabra, Sanchit, et al.
Published: (2026)
BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
by: Huang, Baichuan, et al.
Published: (2025)
by: Huang, Baichuan, et al.
Published: (2025)
Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
by: Shah, Vivswan, et al.
Published: (2025)
by: Shah, Vivswan, et al.
Published: (2025)
G-Loss: Graph-Guided Fine-Tuning of Language Models
by: Sharma, Aditya, et al.
Published: (2026)
by: Sharma, Aditya, et al.
Published: (2026)
Guiding Language Model Reasoning with Planning Tokens
by: Wang, Xinyi, et al.
Published: (2023)
by: Wang, Xinyi, et al.
Published: (2023)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)
by: Li, Yuangang, et al.
Published: (2025)
Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)
by: Cai, Hengrui, et al.
Published: (2023)
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)
by: Huang, Jiameng, et al.
Published: (2025)
Towards Reasoning Ability of Small Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)
by: Srivastava, Gaurav, et al.
Published: (2025)
One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
by: Goru, Ritesh, et al.
Published: (2025)
by: Goru, Ritesh, et al.
Published: (2025)
Understanding and Mitigating Tokenization Bias in Language Models
by: Phan, Buu, et al.
Published: (2024)
by: Phan, Buu, et al.
Published: (2024)
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
by: Fu, Yuqian, et al.
Published: (2025)
by: Fu, Yuqian, et al.
Published: (2025)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)
by: Wang, Xiao
Published: (2026)
Fine-Tuning and Evaluating Conversational AI for Agricultural Advisory
by: Singh, Sanyam, et al.
Published: (2026)
by: Singh, Sanyam, et al.
Published: (2026)
Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
by: Jha, Basab, et al.
Published: (2025)
by: Jha, Basab, et al.
Published: (2025)
Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)
by: Chen, Michael K., et al.
Published: (2025)
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)
by: Li, Hongji, et al.
Published: (2025)
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
by: Chen, Sijia, et al.
Published: (2024)
by: Chen, Sijia, et al.
Published: (2024)
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)
by: Park, Jinyoung, et al.
Published: (2023)
Teaching Transformers Causal Reasoning through Axiomatic Training
by: Vashishtha, Aniket, et al.
Published: (2024)
by: Vashishtha, Aniket, et al.
Published: (2024)
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024)
by: Adiga, Rishabh, et al.
Published: (2024)
Large Language and Reasoning Models are Shallow Disjunctive Reasoners
by: Khalid, Irtaza, et al.
Published: (2025)
by: Khalid, Irtaza, et al.
Published: (2025)
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models
by: Gomaa, Eyad, et al.
Published: (2024)
by: Gomaa, Eyad, et al.
Published: (2024)
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
by: Chang, Aofei, et al.
Published: (2024)
by: Chang, Aofei, et al.
Published: (2024)
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation
by: Hahm, Dongyoon, et al.
Published: (2025)
by: Hahm, Dongyoon, et al.
Published: (2025)
Soft-prompt Tuning for Large Language Models to Evaluate Bias
by: Tian, Jacob-Junqi, et al.
Published: (2023)
by: Tian, Jacob-Junqi, et al.
Published: (2023)
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
by: Gong, Albert, et al.
Published: (2025)
by: Gong, Albert, et al.
Published: (2025)
Boosting Large Language Models with Mask Fine-Tuning
by: Zhang, Mingyuan, et al.
Published: (2025)
by: Zhang, Mingyuan, et al.
Published: (2025)
Variational Reasoning for Language Models
by: Zhou, Xiangxin, et al.
Published: (2025)
by: Zhou, Xiangxin, et al.
Published: (2025)
Reasoning Planning for Language Models
by: Nguyen, Bao, et al.
Published: (2025)
by: Nguyen, Bao, et al.
Published: (2025)
Fine-Tuning Language Models with Reward Learning on Policy
by: Lang, Hao, et al.
Published: (2024)
by: Lang, Hao, et al.
Published: (2024)
Similar Items
-
Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024) -
Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024) -
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025) -
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
by: Abhyankar, Nikhil, et al.
Published: (2025) -
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
by: Abhyankar, Nikhil, et al.
Published: (2024)