The proliferation of open-sourced Large Language Models (LLMs) and diverse downstream tasks necessitates efficient model selection, given the impracticality of fine-tuning all candidates due to ...

Abstract: Large language models trained on massive code corpora can generalize to new tasks without the need for task-specific fine-tuning. In few-shot learning, these models take as input a prompt, ...

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Note: This project accompanies dilithium-py which is a pure-python implementation of ML-DSA and CRYSTALS-Dilithium and shares a lot of the lower-level code of this implementation. kyber-py has been ...

At a Tuesday meeting, the Office of Residential Life announced that it will shift its program and theme housing selection process to a randomized lottery, The Herald previously reported. In the days ...