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Author

Ari S. Morcos

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#artificial intelligence Preprint Oct 2026

Follow the Gradient: Tracing Safety Degradation Back to Training Data

Fine-tuning Large Language Models (LLMs) on instruction data can quietly erode their safety, even when no training example looks harmful. Because this safety-degrading data looks benign, standard content filters struggle to catch it. We tackle this problem by developing SimpleLoRIF, a scalable gradient embedding method...

Saket Reddy, Amro Abbas, Anshuman Suri et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Zephon: Elastic Determinism for Online, Stateful Foundation Model Data Loading Pipelines

Zephon is presented, a data loader for foundation models that supports online, stateful pipelines while providing elastic determinism and efficient resumption from checkpoints and achieves competitive throughput while providing a combination of guarantees that no existing loader offers for online, stateful pipelines.

Maximilian Bother, Josh Wills, Ties Robroek et al. · 0 citations

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