Cover Image

From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rakshit, Aishik, Singh, Smriti, Keshari, Shuvam, Chowdhury, Arijit Ghosh, Jain, Vinija, Chadha, Aman
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models
by: Singh, Smriti, et al.
Published: (2024)

Dial E for Ethical Enforcement: institutional VETO power as a governance primitive
by: Sahoo, Subramanyam, et al.
Published: (2026)

The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
by: Sahoo, Subramanyam, et al.
Published: (2026)

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
by: Chowdhury, Arijit Ghosh, et al.
Published: (2023)

Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language Models
by: Kasat, Aryan, et al.
Published: (2026)

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
by: Chowdhury, Arijit Ghosh, et al.
Published: (2024)

Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability
by: Aggarwal, Yash, et al.
Published: (2026)

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
by: Sinha, Neelabh, et al.
Published: (2024)

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
by: Ghosh, Akash, et al.
Published: (2024)

I Can't Believe It's Not Robust: Catastrophic Collapse of Safety Classifiers under Embedding Drift
by: Sahoo, Subramanyam, et al.
Published: (2026)

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
by: Sahoo, Pranab, et al.
Published: (2024)

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024)

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
by: Khoshnoodi, Mahsa, et al.
Published: (2024)

How Culturally Aware are Vision-Language Models?
by: Burda-Lassen, Olena, et al.
Published: (2024)

Mentions of Prejudice in News Media -- An International Comparison
by: Rozado, David
Published: (2023)

Neural FOXP2 -- Language Specific Neuron Steering for Targeted Language Improvement in LLMs
by: Saha, Anusa, et al.
Published: (2026)

Multilingual State Space Models for Structured Question Answering in Indic Languages
by: Vats, Arpita, et al.
Published: (2025)

When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent Reasoning
by: Sahoo, Subramanyam, et al.
Published: (2026)

SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
by: Sahoo, Subramanyam, et al.
Published: (2026)

Prompt and Prejudice
by: Berlincioni, Lorenzo, et al.
Published: (2024)

IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding
by: KJ, Sankalp, et al.
Published: (2025)

LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs
by: Sidibomma, Rushendra, et al.
Published: (2024)

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
by: Budagam, Devichand, et al.
Published: (2024)

Personality Shapes Gender Bias in Persona-Conditioned LLM Narratives Across English and Hindi: An Empirical Investigation
by: Kumar, Tanay, et al.
Published: (2026)

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
by: Haider, Batool, et al.
Published: (2025)

Assessing LLM Reliability on Temporally Recent Open-Domain Questions
by: Krishnappa, Pushwitha, et al.
Published: (2026)

The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
by: Pawar, Saurav, et al.
Published: (2024)

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
by: Bedemariam, Rewina, et al.
Published: (2025)

SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval
by: Mahalingam, Aakash, et al.
Published: (2024)

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
by: Wijesiriwardene, Thilini, et al.
Published: (2023)

Decoding the Diversity: A Review of the Indic AI Research Landscape
by: KJ, Sankalp, et al.
Published: (2024)

Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
by: Lakhanpal, Sanyam, et al.
Published: (2024)

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
by: Samuel, Vinay, et al.
Published: (2023)

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
by: Tonmoy, S. M Towhidul Islam, et al.
Published: (2024)

AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
by: Mukhopadhyay, Snehasis, et al.
Published: (2025)

Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
by: Kuo, Chen Wei, et al.
Published: (2025)

Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
by: Gorti, Atmika, et al.
Published: (2024)

Leveraging Large Language Models for Predictive Analysis of Human Misery
by: Seal, Bishanka, et al.
Published: (2025)

LLM-Generated Ads: From Personalization Parity to Persuasion Superiority
by: Meguellati, Elyas, et al.
Published: (2025)