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09/06/2023
Improving Code Generation by Dynamic Temperature Sampling
Recently, Large Language Models (LLMs) have shown impressive results in ...
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08/28/2023
STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing
Bug fixing holds significant importance in software development and main...
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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...
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08/26/2023
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
Existing studies show that code summaries help developers understand and...
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08/26/2023
ZC3: Zero-Shot Cross-Language Code Clone Detection
Developers introduce code clones to improve programming productivity. Ma...
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08/19/2023
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
Large language models (LLMs) have showcased remarkable potential across ...
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08/06/2023
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information
Recently, Fourier frequency information has attracted much attention in ...
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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...
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06/29/2023
Low-Light Enhancement in the Frequency Domain
Decreased visibility, intensive noise, and biased color are the common p...
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06/27/2023
Automated Static Warning Identification via Path-based Semantic Representation
Despite their ability to aid developers in detecting potential defects e...
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06/21/2023
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image Representation
Recent years have witnessed the remarkable success of implicit neural re...
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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...
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05/24/2023
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Events serve as fundamental units of occurrence within various contexts....
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05/24/2023
SAGA: Summarization-Guided Assert Statement Generation
Generating meaningful assert statements is one of the key challenges in ...
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05/19/2023
Plug-and-Play Medical Dialogue System
Medical dialogue systems aim to provide accurate answers to patients, ne...
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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 ...
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05/11/2023
Enabling Programming Thinking in Large Language Models Toward Code Generation
Large Language Models (LLMs) (e.g., ChatGPT) have shown impressive perfo...
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05/06/2023
Self-Edit: Fault-Aware Code Editor for Code Generation
Large language models (LLMs) have demonstrated an impressive ability to ...
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05/06/2023
ToolCoder: Teach Code Generation Models to use API search tools
Automatically generating source code from natural language descriptions ...
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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...
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04/15/2023
Self-collaboration Code Generation via ChatGPT
Code generation is widely regarded as a key technique for elevating the ...
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03/31/2023
Towards Enhancing In-Context Learning for Code Generation
In-context learning (ICL) with pre-trained language models (PTLMs) has s...
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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...
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02/13/2023
SkCoder: A Sketch-based Approach for Automatic Code Generation
Recently, deep learning techniques have shown great success in automatic...
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01/22/2023
CodeScore: Evaluating Code Generation by Learning Code Execution
A proper code evaluation metric (CEM) profoundly impacts the evolution o...
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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 ...
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11/03/2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Large-scale pre-trained language models have achieved impressive results...
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11/02/2022
CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation
General-purpose code generation (GPCG) aims to automatically convert the...
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10/31/2022
CodeEditor: Learning to Edit Source Code with Pre-trained Models
Developers often perform repetitive code editing activities for various ...
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10/31/2022
Poison Attack and Defense on Deep Source Code Processing Models
In the software engineering community, deep learning (DL) has recently b...
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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 ...
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07/18/2022
What does Transformer learn about source code?
In the field of source code processing, the transformer-based representa...
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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...
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04/21/2022
Non-autoregressive Model for Full-line Code Completion
Code completion tools are frequently used by software developers to acce...
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01/26/2022
Learning to Recommend Method Names with Global Context
In programming, the names for the program entities, especially for the m...
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12/12/2021
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems
The increasing prevalence of security attacks on software-intensive syst...
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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...
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04/01/2021
Modular Tree Network for Source Code Representation Learning
Learning representation for source code is a foundation of many program ...
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02/05/2021
Massive Self-Assembly in Grid Environments
Self-assembly plays an essential role in many natural processes, involvi...
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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...
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12/08/2020
Learning to Represent Programs with Heterogeneous Graphs
Program source code contains complex structure information, which can be...
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09/18/2020
Towards Full-line Code Completion with Neural Language Models
A code completion system suggests future code elements to developers giv...
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07/13/2020
Early Validation of Cyber-Physical Space Systems via Multi-Concerns Integration
Cyber-physical space systems are engineered systems operating within phy...
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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...
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02/11/2020
Modeling Programs Hierarchically with Stack-Augmented LSTM
Programming language modeling has attracted extensive attention in recen...
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10/14/2019
Code Generation as a Dual Task of Code Summarization
Code summarization (CS) and code generation (CG) are two crucial tasks i...
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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...
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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...
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09/29/2018
Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes
Recent years have witnessed the growing demands for resolving numerous b...
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06/11/2018
