:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Kazi, Fatima
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computers and Society Machine Learning
Online Access:	https://arxiv.org/abs/2511.21711
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Taxonomy of Stereotype Content in Large Language Models
by: Nicolas, Gandalf, et al.
Published: (2024)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)

BiasEdit: Debiasing Stereotyped Language Models via Model Editing
by: Xu, Xin, et al.
Published: (2025)

A Comprehensive Study of Implicit and Explicit Biases in Large Language Models
by: Kazi, Fatima, et al.
Published: (2025)

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024)

Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025)

On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language
by: Tian, Jacob-Junqi, et al.
Published: (2023)

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
by: Friedrich, Felix, et al.
Published: (2024)

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)

Addressing Both Statistical and Causal Gender Fairness in NLP Models
by: Chen, Hannah, et al.
Published: (2024)

Towards Modeling Learner Performance with Large Language Models
by: Neshaei, Seyed Parsa, et al.
Published: (2024)

Harnessing Large Language Models for Disaster Management: A Survey
by: Lei, Zhenyu, et al.
Published: (2025)

Protected group bias and stereotypes in Large Language Models
by: Kotek, Hadas, et al.
Published: (2024)

Understanding Intrinsic Socioeconomic Biases in Large Language Models
by: Arzaghi, Mina, et al.
Published: (2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
by: Pfohl, Stephen R., et al.
Published: (2024)

Limits to Predicting Online Speech Using Large Language Models
by: Remeli, Mina, et al.
Published: (2024)

Revealing Fine-Grained Values and Opinions in Large Language Models
by: Wright, Dustin, et al.
Published: (2024)

ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model
by: Rahman, Salman, et al.
Published: (2024)

A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
by: Kamal, Sadia, et al.
Published: (2025)

LIBRA: Measuring Bias of Large Language Model from a Local Context
by: Pang, Bo, et al.
Published: (2025)

Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
by: Rony, Md Main Uddin, et al.
Published: (2024)

Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
by: Masoud, Reem I., et al.
Published: (2023)

What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
by: Noels, Sander, et al.
Published: (2025)

Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
by: Razavi, Pooya, et al.
Published: (2025)

Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)

The Moral Gap of Large Language Models
by: Skorski, Maciej, et al.
Published: (2025)

Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)

Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)

Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
by: Borchers, Conrad, et al.
Published: (2025)

DSO: Direct Steering Optimization for Bias Mitigation
by: Paes, Lucas Monteiro, et al.
Published: (2025)

Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models
by: Chanenson, Jake, et al.
Published: (2023)

Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025)

Assessing Large Language Models on Climate Information
by: Bulian, Jannis, et al.
Published: (2023)

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
by: Vargas, Francisco, et al.
Published: (2020)

A Moral Imperative: The Need for Continual Superalignment of Large Language Models
by: Puthumanaillam, Gokul, et al.
Published: (2024)

Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
by: Cunningham, Eoghan, et al.
Published: (2025)

Transforming Agency. On the mode of existence of Large Language Models
by: Barandiaran, Xabier E., et al.
Published: (2024)

Critical Foreign Policy Decisions (CFPD)-Benchmark: Measuring Diplomatic Preferences in Large Language Models
by: Jensen, Benjamin, et al.
Published: (2025)