:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bartl, Marion, Leavy, Susan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2407.04434
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context
by: Bartl, Marion, et al.
Published: (2025)

Navigating Global AI Regulation: A Multi-Jurisdictional Retrieval-Augmented Generation System
by: Ford, Courtney, et al.
Published: (2026)

Detecting Bias in Large Language Models: Fine-tuned KcBERT
by: Lee, J. K., et al.
Published: (2024)

Disclosure and Mitigation of Gender Bias in LLMs
by: Dong, Xiangjue, et al.
Published: (2024)

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
by: Zhou, Huichi, et al.
Published: (2025)

Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models
by: Mandal, Abhishek, et al.
Published: (2024)

Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
by: Dutta, Aditi, et al.
Published: (2025)

Evaluating Gender Bias of LLMs in Making Morality Judgements
by: Bajaj, Divij, et al.
Published: (2024)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
by: Zhang, Zhexin, et al.
Published: (2025)

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

The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
by: Sant, Aleix, et al.
Published: (2024)

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
by: Zhong, Qihuang, et al.
Published: (2025)

Measuring Gender Bias in Job Title Matching for Grammatical Gender Languages
by: García-Sardiña, Laura, et al.
Published: (2025)

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
by: Sabir, Ahmed, et al.
Published: (2026)

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
by: Chen, Yuen, et al.
Published: (2022)

Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
by: Derner, Erik, et al.
Published: (2024)

Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
by: Nkhata, Gibson, et al.
Published: (2025)

Evaluating Gender Bias in Large Language Models
by: Döll, Michael, et al.
Published: (2024)

Investigating Gender Bias in Turkish Language Models
by: Caglidil, Orhun Mersin, et al.
Published: (2024)

Topic Modeling with Fine-tuning LLMs and Bag of Sentences
by: Schneider, Johannes
Published: (2024)

Fine-tuning and Utilization Methods of Domain-specific LLMs
by: Jeong, Cheonsu
Published: (2024)

'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs
by: Joshi, Ishika, et al.
Published: (2024)

Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)

Differentially Private Bias-Term Fine-tuning of Foundation Models
by: Bu, Zhiqi, et al.
Published: (2022)

Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
by: Yu, Zeping, et al.
Published: (2025)

Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education
by: Iso, Hayate, et al.
Published: (2025)

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

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
by: Fernandes, Gustavo Lúcius, et al.
Published: (2026)

Gender Bias in Large Language Models across Multiple Languages
by: Zhao, Jinman, et al.
Published: (2024)

Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
by: Pearman, Edie, et al.
Published: (2026)

Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
by: Christophe, Clément, et al.
Published: (2024)

Agent Fine-tuning through Distillation for Domain-specific LLMs in Microdomains
by: Xue, Yawen, et al.
Published: (2025)

Gender Bias in Emotion Recognition by Large Language Models
by: Herbert, Maureen, et al.
Published: (2025)

In-Contextual Gender Bias Suppression for Large Language Models
by: Oba, Daisuke, et al.
Published: (2023)

From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models
by: Galea, Melanie, et al.
Published: (2025)

Aloe: A Family of Fine-tuned Open Healthcare LLMs
by: Gururajan, Ashwin Kumar, et al.
Published: (2024)

RLSF: Fine-tuning LLMs via Symbolic Feedback
by: Jha, Piyush, et al.
Published: (2024)

Fine-tuning Large Language Models with Sequential Instructions
by: Hu, Hanxu, et al.
Published: (2024)

Sparse Matrix in Large Language Model Fine-tuning
by: He, Haoze, et al.
Published: (2024)

Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
by: Liu, Geng, et al.
Published: (2025)