b'Zhi Jin'

research

∙ 09/06/2023

Improving Code Generation by Dynamic Temperature Sampling

Recently, Large Language Models (LLMs) have shown impressive results in ...

0 Yuqi Zhu, et al. ∙

research

∙ 08/28/2023

STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing

Bug fixing holds significant importance in software development and main...

0 Yuwei Zhang, et al. ∙

research

∙ 08/27/2023

MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing

In recent years, Transformer networks are beginning to replace pure conv...

0 Yuwei Qiu, et al. ∙

research

∙ 08/26/2023

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization

Existing studies show that code summaries help developers understand and...

0 Jia Li, et al. ∙

research

∙ 08/26/2023

ZC3: Zero-Shot Cross-Language Code Clone Detection

Developers introduce code clones to improve programming productivity. Ma...

0 Jia Li, et al. ∙

research

∙ 08/19/2023

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model

Large language models (LLMs) have showcased remarkable potential across ...

0 Yihong Dong, et al. ∙

research

∙ 08/06/2023

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information

Recently, Fourier frequency information has attracted much attention in ...

0 Chenxi Wang, et al. ∙

research

∙ 08/06/2023

Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement

Low-Light Image Enhancement (LLIE) aims to improve the perceptual qualit...

0 Chenxi Wang, et al. ∙

research

∙ 06/29/2023

Low-Light Enhancement in the Frequency Domain

Decreased visibility, intensive noise, and biased color are the common p...

0 Hao Chen, et al. ∙

research

∙ 06/27/2023

Automated Static Warning Identification via Path-based Semantic Representation

Despite their ability to aid developers in detecting potential defects e...

0 Yuwei Zhang, et al. ∙

research

∙ 06/21/2023

Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image Representation

Recent years have witnessed the remarkable success of implicit neural re...

0 Zongyao He, et al. ∙

research

∙ 05/27/2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning

Bug localization, which is used to help programmers identify the locatio...

0 Zhuo Li, et al. ∙

research

∙ 05/24/2023

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models

Events serve as fundamental units of occurrence within various contexts....

0 Zhengwei Tao, et al. ∙

research

∙ 05/24/2023

SAGA: Summarization-Guided Assert Statement Generation

Generating meaningful assert statements is one of the key challenges in ...

0 Yuwei Zhang, et al. ∙

research

∙ 05/19/2023

Plug-and-Play Medical Dialogue System

Medical dialogue systems aim to provide accurate answers to patients, ne...

0 Chengfeng Dou, et al. ∙

research

∙ 05/16/2023

Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism

Automated program repair is a crucial task for improving the efficiency ...

0 Yuwei Zhang, et al. ∙

research

∙ 05/11/2023

Enabling Programming Thinking in Large Language Models Toward Code Generation

Large Language Models (LLMs) (e.g., ChatGPT) have shown impressive perfo...

0 Jia Li, et al. ∙

research

∙ 05/06/2023

Self-Edit: Fault-Aware Code Editor for Code Generation

Large language models (LLMs) have demonstrated an impressive ability to ...

0 Kechi Zhang, et al. ∙

research

∙ 05/06/2023

ToolCoder: Teach Code Generation Models to use API search tools

Automatically generating source code from natural language descriptions ...

0 Kechi Zhang, et al. ∙

research

∙ 04/22/2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation

Code comment generation aims at generating natural language descriptions...

0 Mingyang Geng, et al. ∙

research

∙ 04/15/2023

Self-collaboration Code Generation via ChatGPT

Code generation is widely regarded as a key technique for elevating the ...

0 Yihong Dong, et al. ∙

research

∙ 03/31/2023

Towards Enhancing In-Context Learning for Code Generation

In-context learning (ICL) with pre-trained language models (PTLMs) has s...

0 Jia Li, et al. ∙

research

∙ 03/14/2023

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models

Source code representation with deep learning techniques is an important...

0 Kechi Zhang, et al. ∙

research

∙ 02/13/2023

SkCoder: A Sketch-based Approach for Automatic Code Generation

Recently, deep learning techniques have shown great success in automatic...

0 Jia Li, et al. ∙

research

∙ 01/22/2023

CodeScore: Evaluating Code Generation by Learning Code Execution

A proper code evaluation metric (CEM) profoundly impacts the evolution o...

0 Yihong Dong, et al. ∙

research

∙ 01/06/2023

Adversarial Attacks on Neural Models of Code via Code Difference Reduction

Deep learning has been widely used to solve various code-based tasks by ...

0 Zhao Tian, et al. ∙

research

∙ 11/03/2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

Large-scale pre-trained language models have achieved impressive results...

0 Haojie Zhang, et al. ∙

research

∙ 11/02/2022

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation

General-purpose code generation (GPCG) aims to automatically convert the...

0 Yihong Dong, et al. ∙

research

∙ 10/31/2022

CodeEditor: Learning to Edit Source Code with Pre-trained Models

Developers often perform repetitive code editing activities for various ...

0 Jia Li, et al. ∙

research

∙ 10/31/2022

Poison Attack and Defense on Deep Source Code Processing Models

In the software engineering community, deep learning (DL) has recently b...

0 Jia Li, et al. ∙

research

∙ 08/22/2022

Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation

Code generation focuses on the automatic conversion of natural language ...

0 Yihong Dong, et al. ∙

research

∙ 07/18/2022

What does Transformer learn about source code?

In the field of source code processing, the transformer-based representa...

0 Kechi Zhang, et al. ∙

research

∙ 07/06/2022

STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding

In this technical report, we introduce our solution to human-centric spa...

0 Zihang Lin, et al. ∙

research

∙ 04/21/2022

Non-autoregressive Model for Full-line Code Completion

Code completion tools are frequently used by software developers to acce...

0 Fang Liu, et al. ∙

research

∙ 01/26/2022

Learning to Recommend Method Names with Global Context

In programming, the names for the program entities, especially for the m...

0 Fang Liu, et al. ∙

research

∙ 12/12/2021

A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems

The increasing prevalence of security attacks on software-intensive syst...

0 Mingyue Zhang, et al. ∙

research

∙ 05/11/2021

A Meta Reinforcement Learning-based Approach for Self-Adaptive System

A self-learning adaptive system (SLAS) uses machine learning to enable a...

0 Mingyue Zhang, et al. ∙

research

∙ 04/01/2021

Modular Tree Network for Source Code Representation Learning

Learning representation for source code is a foundation of many program ...

0 Wenhan Wang, et al. ∙

research

∙ 02/05/2021

Massive Self-Assembly in Grid Environments

Self-assembly plays an essential role in many natural processes, involvi...

0 Wenjie Chu, et al. ∙

research

∙ 12/29/2020

Multi-task Learning based Pre-trained Language Model for Code Completion

Code completion is one of the most useful features in the Integrated Dev...

0 Fang Liu, et al. ∙

research

∙ 12/08/2020

Learning to Represent Programs with Heterogeneous Graphs

Program source code contains complex structure information, which can be...

0 Wenhan Wang, et al. ∙

research

∙ 09/18/2020

Towards Full-line Code Completion with Neural Language Models

A code completion system suggests future code elements to developers giv...

0 Wenhan Wang, et al. ∙

research

∙ 07/13/2020

Early Validation of Cyber-Physical Space Systems via Multi-Concerns Integration

Cyber-physical space systems are engineered systems operating within phy...

0 Nianyu Li, et al. ∙

research

∙ 02/20/2020

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

Code clones are semantically similar code fragments pairs that are synta...

0 Wenhan Wang, et al. ∙

research

∙ 02/11/2020

Modeling Programs Hierarchically with Stack-Augmented LSTM

Programming language modeling has attracted extensive attention in recen...

0 Fang Liu, et al. ∙

research

∙ 10/14/2019

Code Generation as a Dual Task of Code Summarization

Code summarization (CS) and code generation (CG) are two crucial tasks i...

0 Bolin Wei, et al. ∙

research

∙ 09/16/2019

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Code completion, one of the most useful features in the integrated devel...

0 Fang Liu, et al. ∙

research

∙ 11/28/2018

Solving Pictorial Jigsaw Puzzle by Stigmergy-inspired Internet-based Human Collective Intelligence

The pictorial jigsaw (PJ) puzzle is a well-known leisure game for humans...

0 Bo Shen, et al. ∙

research

∙ 09/29/2018

Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes

Recent years have witnessed the growing demands for resolving numerous b...

0 He Jiang, et al. ∙

research

∙ 06/11/2018

Compression of phase-only holograms with JPEG standard and deep learning

It is a critical issue to reduce the enormous amount of data in the proc...

6 Shuming Jiao, et al. ∙

Zhi Jin

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