CodeBERT: A Pre-Trained Model for Programming and Natural
Masked language modeling is also used as one of the two learning objectives for training CodeBERT. 2.2 Multi-Modal Pre-Trained Models. The remarkable success of
CodeBERT: A Pre-Trained Model for Programming and Natural
18 sept. 2020 ries in 6 programming languages where bimodal datapoints are codes that pair with function-level natural language documentations (Husain et al.
CodeBERT: A Pre-Trained Model for Programming and Natural
18 sept. 2020 ries in 6 programming languages where bimodal datapoints are codes that pair with function-level natural language documentations (Husain et al.
TreeBERT: A Tree-Based Pre-Trained Model for Programming
CodeBERT [Feng et al. 2020] is the first bimodal pre-trained model capable of handling programming language (PL) and natural language (NL). It is trained
TreeBERT: A Tree-Based Pre-Trained Model for Programming
With the development of pre-trained models such as BERT. [Devlin et al. 2019]
Cascaded Fast and Slow Models for Efficient Semantic Code Search
15 oct. 2021 Parallel to the progress in natural language processing pre-trained language models (LM) like CodeBERT (Feng et al.
On the Transferability of Pre-trained Language Models for Low
The model is tested on Code Search Code. Clone Detection
What do pre-trained code models know about code?
25 août 2021 CodeBERTa (pre-trained on source code and natural language ... Codebert: A pre-trained model for programming and natural languages
Diet Code Is Healthy: Simplifying Programs for Pre-Trained Models
els we conduct an empirical analysis of CodeBERT – a pre-trained model for programming and natural languages. Our study aims to.
?BERT: Mutation Testing using Pre-Trained Language Models
7 mars 2022 uses a pre-trained language model (CodeBERT) to generate mutants. ... combines mutation testing and natural language processing.
CodeBERT: A Pre-Trained Model for Programming and Natural
Abstract We present CodeBERT a bimodal pre-trained model for programming language (PL) and natural language (NL) CodeBERT learns general-purpose representations that support downstream NL-PL applications such as nat- ural language code search code documen- tation generation etc
Searches related to codebert a pre trained model for programming and natural languages
In this work we present CodeBERT a bimodal pre-trained model for natural language (NL) and programming lan-guage (PL) like Python Java JavaScript etc CodeBERT captures the semantic connection between natural language and programming language and produces general-purpose representations that can broadly support NL-PL understand-
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