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Found 3 papers, 1 papers with code
Risk-Sensitive Diffusion for Perturbation-Robust Optimization
The essence of score-based generative models (SGM) is to optimize a score-based model towards the score function.
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Transformer-based large language models (LLMs) are constrained by the fixed context window of the underlying transformer architecture, hindering their ability to produce long and coherent outputs.
Ranked #4 on
Code Generation
on HumanEval
Transfer Learning with Kernel Methods
In this work, we propose a transfer learning framework for kernel methods by projecting and translating the source model to the target task.
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