arxiv
PublishedSeptember 2, 2026 at 4:00 AM
BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Injection
Publisher summary· verbatim
arXiv:2508.08855v5 Announce Type: replace-cross Abstract: Understanding biases and stereotypes encoded in the weights of Large Language Models (LLMs) is crucial for developing effective mitigation strategies. However, biased behavior is often subtle and non-trivial to isolate, even when deliberately
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Originally published on arxiv ↗