EvoPrompting: language models for code-level neural architecture search

A Chen, D Dohan, D So - Advances in Neural Information …, 2024 - proceedings.neurips.cc
Given the recent impressive accomplishments of language models (LMs) for code
generation, we explore the use of LMs as general adaptive mutation and crossover …
被引用次数：42 相关文章

EvoPrompting: language models for code-level neural architecture search

A Chen, DM Dohan, DR So - … of the 37th International Conference on …, 2023 - dl.acm.org
Given the recent impressive accomplishments of language models (LMs) for code
generation, we explore the use of LMs as general adaptive mutation and crossover …

EvoPrompting: Language Models for Code-Level Neural Architecture Search

A Chen, DM Dohan, DR So - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Given the recent impressive accomplishments of language models (LMs) for code
generation, we explore the use of LMs as adaptive mutation and crossover operators for an …

EvoPrompting: Language Models for Code-Level Neural Architecture Search

A Chen, DM Dohan, DR So - arXiv preprint arXiv:2302.14838, 2023 - arxiv.org
Given the recent impressive accomplishments of language models (LMs) for code
generation, we explore the use of LMs as adaptive mutation and crossover operators for an …

EvoPrompting: Language Models for Code-Level Neural Architecture Search

A Chen, D Dohan, D So - Thirty-seventh Conference on Neural Information … - openreview.net
Given the recent impressive accomplishments of language models (LMs) for code
generation, we explore the use of LMs as general adaptive mutation and crossover …