Evaluating and Mitigating Anti-LGBTQ Biases in German and Multilingual Language Models

arXiv:2608.30884 · cs.CL, cs.AI · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/Responsible-NLP/Anti-LGBTQ-Biases-in-MLLM

Terminology

• Benchmark — 18× in this paper · explained in 2 episodes
• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Transformer — 3× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Artificial Intelligence — 1× in this paper
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• OPT: Open Pre-trained Transformer Language Models

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