ACL-2020 Contrastive Code Representation Learning

Mar 25 PaperNote CL, SE Comments Word Count: 607(words) Read Count: 2(minutes)

2.1 探索性数据分析【stanford-cs329p】

Mar 24 stanford-cs329p Comments Word Count: 13(words) Read Count: 1(minutes)

1.4 数据标注【stanford-cs329p】

Mar 24 stanford-cs329p Comments Word Count: 563(words) Read Count: 2(minutes)

1.3 网页数据抓取【stanford-cs329p】

Mar 23 stanford-cs329p Comments Word Count: 308(words) Read Count: 1(minutes)

1.2 数据获取【stanford-cs329p】

Mar 23 stanford-cs329p Comments Word Count: 377(words) Read Count: 1(minutes)

DeepMind-2022 Competition-Level Code Generation with AlphaCode

Mar 23 PaperNote CL Comments Word Count: 1.3k(words) Read Count: 4(minutes)

1.1 课程介绍【stanford-cs329p】

Mar 22 stanford-cs329p Comments Word Count: 606(words) Read Count: 2(minutes)

ICML-2021 Evaluating Large Language Models Trained on Code

Mar 22 PaperNote CL, SE Comments Word Count: 1.6k(words) Read Count: 5(minutes)

NIPS-2018 Improving Language Understanding by Generative Pre-Training

Mar 21 PaperNote CL Comments Word Count: 880(words) Read Count: 3(minutes)

ICML-2019 Language Models are Unsupervised Multitask Learners

Mar 21 PaperNote CL Comments Word Count: 711(words) Read Count: 2(minutes)