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06/26/2023
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
In this paper, we introduce a new task for code completion that focuses ...
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04/03/2023
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Chat models, such as ChatGPT, have shown impressive capabilities and hav...
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10/18/2022
Soft-Labeled Contrastive Pre-training for Function-level Code Representation
Code contrastive pre-training has recently achieved significant progress...
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03/17/2022
CodeReviewer: Pre-Training for Automating Code Review Activities
Code review is an essential part to software development lifecycle since...
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03/15/2022
ReACC: A Retrieval-Augmented Code Completion Framework
Code completion, which aims to predict the following code token(s) accor...
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03/11/2022
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
In this paper, we propose LaPraDoR, a pretrained dual-tower dense retrie...
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09/04/2021
Multi-modal Representation Learning for Video Advertisement Content Structuring
Video advertisement content structuring aims to segment a given video ad...
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06/18/2021
Learning to Generate Code Sketches
Traditional generative models are limited to predicting sequences of ter...
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12/28/2020
Syntax-Enhanced Pre-trained Model
We study the problem of leveraging the syntactic structure of text to en...
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09/22/2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Evaluation metrics play a vital role in the growth of an area as it defi...
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09/17/2020
GraphCodeBERT: Pre-training Code Representations with Data Flow
Pre-trained models for programming language have achieved dramatic empir...
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06/15/2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
Generating inferential texts about an event in different perspectives re...
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04/12/2020
Pre-training Text Representations as Meta Learning
Pre-training text representations has recently been shown to significant...
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04/07/2020
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
We study the problem of generating inferential texts of events for a var...
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02/19/2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
We present CodeBERT, a bimodal pre-trained model for programming languag...
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10/11/2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
We consider the problem of conversational question answering over a larg...
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09/09/2019
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Commonsense question answering aims to answer questions which require ba...
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06/17/2019
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
In this paper, we present an approach to incorporate retrieved datapoint...
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09/12/2018
Knowledge Based Machine Reading Comprehension
Machine reading comprehension (MRC) requires reasoning about both the kn...
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08/20/2018