Author

Isabelle Augenstein

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#natural language process... Review Oct 2026

Investigating Multi-Cultural Value Selection Biases in LLMs

Large language models (LLMs) serve users whose cultural identities are multi-layered, yet cultural evaluations commonly reduce identity to one label. In this work, we study LLMs under simultaneous identity cues, with a country persona in the system prompt and a second identity signaled in the user turn, either by namin...

S. Pawar, Arnav Arora, Dustin Wright et al. · 0 citations

#artificial intelligence Preprint Aug 2025

BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Injection

The proposed framework enables consistent bias elicitation for better localization of bias conceptual association in the model space, supports targeted debiasing without degrading performance on downstream tasks, and generalizes to biases unseen during fine-tuning.

Sekh Mainul Islam, Nadav Borenstein, Siddhesh Pawar et al. · 1 citation