arxiv
PublishedJune 30, 2026 at 4:00 AM
—neutral
The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning
Publisher summary· verbatim
arXiv:2606.28843v1 Announce Type: cross Abstract: Fine-tuning a large language model is a ubiquitous method for enhancing its capability on a specific downstream task. However, prior work has shown that this increase in capability comes with a cost: it can increase a model's tendency to respond to u
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Originally published on arxiv ↗