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cs.LG2026
More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)
Sagi Meir, Tommer D. Keidar, Noam Levi +2
The performance of large language models (LLMs) on verifiable tasks is usually measured by pass@k, the probability of answering a question correctly at least once in k trials. At a…
cs.LG2025★ 3 cited
First-Passage Approach to Optimizing Perturbations for Improved Training of Machine Learning Models
Sagi Meir, Tommer D. Keidar, Shlomi Reuveni +1
Machine learning models have become indispensable tools in applications across the physical sciences. Their training is often time-consuming, vastly exceeding the inference timesca…