ArXiv paper introducing LangFIR, a method for discovering sparse language-specific features from monolingual data to enable better language steering in language models. Research on NLP model control and interpretability.
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LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering
LangFIR uncovers sparse, interpretable language-specific circuits in monolingual-trained LLMs that enable surgical language steering without expensive retraining.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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