Daya Guo | DeepAI

AI Chat

Featured Co-authors

Ting Liu
188 publications
Tao Qin
134 publications
Xipeng Qiu
131 publications
Nan Duan
128 publications
Julian McAuley
120 publications
Ming Zhou
107 publications
Daxin Jiang
100 publications
Weizhu Chen
89 publications
Bing Qin
83 publications
Guodong Long
75 publications
Shujie Liu
59 publications

∙ 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 ...

0 Daya Guo, et al. ∙

∙ 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...

0 Canwen Xu, et al. ∙

∙ 10/18/2022

Soft-Labeled Contrastive Pre-training for Function-level Code Representation

Code contrastive pre-training has recently achieved significant progress...

0 Xiaonan Li, et al. ∙

∙ 03/17/2022

CodeReviewer: Pre-Training for Automating Code Review Activities

Code review is an essential part to software development lifecycle since...

0 Zhiyu Li, et al. ∙

∙ 03/15/2022

ReACC: A Retrieval-Augmented Code Completion Framework

Code completion, which aims to predict the following code token(s) accor...

0 Shuai Lu, et al. ∙

∙ 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...

0 Canwen Xu, et al. ∙

∙ 09/04/2021

Multi-modal Representation Learning for Video Advertisement Content Structuring

Video advertisement content structuring aims to segment a given video ad...

0 Daya Guo, et al. ∙

∙ 06/18/2021

Learning to Generate Code Sketches

Traditional generative models are limited to predicting sequences of ter...

0 Daya Guo, et al. ∙

∙ 12/28/2020

Syntax-Enhanced Pre-trained Model

We study the problem of leveraging the syntactic structure of text to en...

0 Zenan Xu, et al. ∙

∙ 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...

0 Shuo Ren, et al. ∙

∙ 09/17/2020

GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...

0 Daya Guo, et al. ∙

∙ 06/15/2020

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Generating inferential texts about an event in different perspectives re...

0 Daya Guo, et al. ∙

∙ 04/12/2020

Pre-training Text Representations as Meta Learning

Pre-training text representations has recently been shown to significant...

0 Shangwen Lv, et al. ∙

∙ 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...

9 Daya Guo, et al. ∙

∙ 02/19/2020

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

We present CodeBERT, a bimodal pre-trained model for programming languag...

0 Zhangyin Feng, et al. ∙

∙ 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...

0 Tao Shen, et al. ∙

∙ 09/09/2019

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Commonsense question answering aims to answer questions which require ba...

0 Shangwen Lv, et al. ∙

∙ 06/17/2019

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

In this paper, we present an approach to incorporate retrieved datapoint...

0 Daya Guo, et al. ∙

∙ 09/12/2018

Knowledge Based Machine Reading Comprehension

Machine reading comprehension (MRC) requires reasoning about both the kn...

0 Yibo Sun, et al. ∙

∙ 08/20/2018

Question Generation from SQL Queries Improves Neural Semantic Parsing

We study how to learn a semantic parser of state-of-the-art accuracy wit...

0 Daya Guo, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world