Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias

arXiv:2502.10577 · cs.CL, cs.AI · Submitted 2025-02-14 · Read on arXiv

cs.CL, cs.AI

Submitted: 2025-02-14

Updated: 2026-08-30

Code: https://github.com/opinionscience/InstructionFr

Terminology

• Adam — 7× in this paper · explained in 2 episodes
• Masculine Generics — 7× in this paper
• Transformer — 5× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Logistic Regression — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
• Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
• Enriching Word Vectors with Subword Information
• The Rise of AI-Generated Content in Wikipedia
• Language Models are Few-Shot Learners
• Evaluating Gender Bias in Large Language Models
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• Summarization is (Almost) Dead
• On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
• Qwen it detect machine-generated text?
• Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
• Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation
• The Science of Detecting LLM-Generated Texts
• LLaMA: Open and Efficient Foundation Language Models
• Gender Bias in Large Language Models across Multiple Languages
• Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
• Gender Bias in Machine Translation and The Era of Large Language Models
• NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternatives
• Understanding the Impact of AI Generated Content on Social Media: The Pixiv Case

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