Steering Towards Fairness: Mitigating Political Bias in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Nadeem, Afrozah, Dras, Mark, Naseem, Usman |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fairness Evaluation and Inference Level Mitigation in LLMs
by: Nadeem, Afrozah, et al.
Published: (2025)
by: Nadeem, Afrozah, et al.
Published: (2025)
Framing Political Bias in Multilingual LLMs Across Pakistani Languages
by: Nadeem, Afrozah, et al.
Published: (2025)
by: Nadeem, Afrozah, et al.
Published: (2025)
Bias Beyond Borders: Political Ideology Evaluation and Steering in Multilingual LLMs
by: Nadeem, Afrozah, et al.
Published: (2026)
by: Nadeem, Afrozah, et al.
Published: (2026)
SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering
by: Maskey, Utsav, et al.
Published: (2025)
by: Maskey, Utsav, et al.
Published: (2025)
Steering Over-refusals Towards Safety in Retrieval Augmented Generation
by: Maskey, Utsav, et al.
Published: (2025)
by: Maskey, Utsav, et al.
Published: (2025)
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
by: Shetty, Anudeex, et al.
Published: (2025)
by: Shetty, Anudeex, et al.
Published: (2025)
Over-Refusal and Representation Subspaces: A Mechanistic Analysis of Task-Conditioned Refusal in Aligned LLMs
by: Maskey, Utsav, et al.
Published: (2026)
by: Maskey, Utsav, et al.
Published: (2026)
We Think, Therefore We Align LLMs to Helpful, Harmless and Honest Before They Go Wrong
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)
AlignCultura: Towards Culturally Aligned Large Language Models?
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)
Agentic Moderation: Multi-Agent Design for Safer Vision-Language Models
by: Ren, Juan, et al.
Published: (2025)
by: Ren, Juan, et al.
Published: (2025)
Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs
by: Siddique, Zara, et al.
Published: (2025)
by: Siddique, Zara, et al.
Published: (2025)
Can Reasoning LLMs Enhance Clinical Document Classification?
by: Mustafa, Akram, et al.
Published: (2025)
by: Mustafa, Akram, et al.
Published: (2025)
Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs
by: Mustafa, Akram, et al.
Published: (2025)
by: Mustafa, Akram, et al.
Published: (2025)
SHIELD: Classifier-Guided Prompting for Robust and Safer LVLMs
by: Ren, Juan, et al.
Published: (2025)
by: Ren, Juan, et al.
Published: (2025)
Should LLM Safety Be More Than Refusing Harmful Instructions?
by: Maskey, Utsav, et al.
Published: (2025)
by: Maskey, Utsav, et al.
Published: (2025)
Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack
by: Ren, Juan, et al.
Published: (2025)
by: Ren, Juan, et al.
Published: (2025)
Do Personality Traits Interfere? Geometric Limitations of Steering in Large Language Models
by: Bhandari, Pranav, et al.
Published: (2026)
by: Bhandari, Pranav, et al.
Published: (2026)
Position: LLMs Must Use Functor-Based and RAG-Driven Bias Mitigation for Fairness
by: Ranjan, Ravi, et al.
Published: (2026)
by: Ranjan, Ravi, et al.
Published: (2026)
Myanmar XNLI: Building a Dataset and Exploring Low-resource Approaches to Natural Language Inference with Myanmar
by: Htet, Aung Kyaw, et al.
Published: (2025)
by: Htet, Aung Kyaw, et al.
Published: (2025)
Too Helpful, Too Harmless, Too Honest or Just Right?
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)
When the Model Said 'No Comment', We Knew Helpfulness Was Dead, Honesty Was Alive, and Safety Was Terrified
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)
Beyond the Black Box: Demystifying Multi-Turn LLM Reasoning with VISTA
by: Zhang, Yiran, et al.
Published: (2025)
by: Zhang, Yiran, et al.
Published: (2025)
CogMem: A Cognitive Memory Architecture for Sustained Multi-Turn Reasoning in Large Language Models
by: Zhang, Yiran, et al.
Published: (2025)
by: Zhang, Yiran, et al.
Published: (2025)
Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
by: Pres, Itamar, et al.
Published: (2024)
by: Pres, Itamar, et al.
Published: (2024)
Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning
by: Yuan, Jiahao, et al.
Published: (2025)
by: Yuan, Jiahao, et al.
Published: (2025)
Bias Mitigation Agent: Optimizing Source Selection for Fair and Balanced Knowledge Retrieval
by: Singh, Karanbir, et al.
Published: (2025)
by: Singh, Karanbir, et al.
Published: (2025)
Assessing Political Bias in Large Language Models
by: Rettenberger, Luca, et al.
Published: (2024)
by: Rettenberger, Luca, et al.
Published: (2024)
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)
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
by: Peña, Alejandro, et al.
Published: (2025)
by: Peña, Alejandro, et al.
Published: (2025)
MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation
by: Wang, Pengyu, et al.
Published: (2025)
by: Wang, Pengyu, et al.
Published: (2025)
Perceived Political Bias in LLMs Reduces Persuasive Abilities
by: DiGiuseppe, Matthew, et al.
Published: (2026)
by: DiGiuseppe, Matthew, et al.
Published: (2026)
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
by: Elbouanani, Akram, et al.
Published: (2025)
by: Elbouanani, Akram, et al.
Published: (2025)
Political Bias in LLMs: Unaligned Moral Values in Agent-centric Simulations
by: Münker, Simon
Published: (2024)
by: Münker, Simon
Published: (2024)
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
by: Kumar, Rajeev, et al.
Published: (2025)
by: Kumar, Rajeev, et al.
Published: (2025)
Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
by: Wei, Kangda, et al.
Published: (2025)
by: Wei, Kangda, et al.
Published: (2025)
Bring Your Own Prompts: Use-Case-Specific Bias and Fairness Evaluation for LLMs
by: Bouchard, Dylan
Published: (2024)
by: Bouchard, Dylan
Published: (2024)
From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMs
by: Guo, Xiaoyong, et al.
Published: (2026)
by: Guo, Xiaoyong, et al.
Published: (2026)
"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection
by: López, Fernando, et al.
Published: (2026)
by: López, Fernando, et al.
Published: (2026)
Mitigating Misalignment Contagion by Steering with Implicit Traits
by: Chang, Maria, et al.
Published: (2026)
by: Chang, Maria, et al.
Published: (2026)
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
by: Yuan, Jiahao, et al.
Published: (2024)
by: Yuan, Jiahao, et al.
Published: (2024)
Similar Items
-
Fairness Evaluation and Inference Level Mitigation in LLMs
by: Nadeem, Afrozah, et al.
Published: (2025) -
Framing Political Bias in Multilingual LLMs Across Pakistani Languages
by: Nadeem, Afrozah, et al.
Published: (2025) -
Bias Beyond Borders: Political Ideology Evaluation and Steering in Multilingual LLMs
by: Nadeem, Afrozah, et al.
Published: (2026) -
SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering
by: Maskey, Utsav, et al.
Published: (2025) -
Steering Over-refusals Towards Safety in Retrieval Augmented Generation
by: Maskey, Utsav, et al.
Published: (2025)