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09/11/2023
When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
With the development of blockchain technology, smart contracts have beco...
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08/25/2023
SoTaNa: The Open-Source Software Development Assistant
Software development plays a crucial role in driving innovation and effi...
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08/22/2023
Towards an Understanding of Large Language Models in Software Engineering Tasks
Large Language Models (LLMs) have drawn widespread attention and researc...
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08/21/2023
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery
Issue-commit links, as a type of software traceability links, play a vit...
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07/18/2023
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion
User post-click conversion prediction is of high interest to researchers...
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07/03/2023
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder
Autism spectrum disorder (ASD) is a highly disabling mental disease that...
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05/28/2023
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring
Refactoring is an indispensable practice of improving the quality and ma...
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05/17/2023
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Revolutionary advancements in Large Language Models have drastically res...
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04/30/2023
An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity
Web3, the next generation of the Internet, represents a decentralized an...
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04/13/2023
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Evaluating the general abilities of foundation models to tackle human-le...
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04/11/2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond
Recently, fine-tuning pre-trained code models such as CodeBERT on downst...
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10/21/2022
Exploring Representation-Level Augmentation for Code Search
Code search, which aims at retrieving the most relevant code fragment fo...
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10/04/2022
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing
The recent prevalence of pretrained language models (PLMs) has dramatica...
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09/17/2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach
Graph Neural Networks (GNNs) are popular machine learning methods for mo...
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08/15/2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Graph Neural Networks (GNNs) have shown expressive performance on graph ...
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06/09/2022
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI
Accurate diagnosis of autism spectrum disorder (ASD) based on neuroimagi...
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04/21/2022
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Third-party libraries (TPLs) are reused frequently in software applicati...
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04/18/2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation
Privacy protection is an essential issue in personalized news recommenda...
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04/07/2022
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
The development of noninvasive brain imaging such as resting-state funct...
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04/07/2022
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation
Code search aims to retrieve the most semantically relevant code snippet...
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03/29/2022
Accelerating Code Search with Deep Hashing and Code Classification
Code search is to search reusable code snippets from source code corpus ...
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03/05/2022
ECMG: Exemplar-based Commit Message Generation
Commit messages concisely describe the content of code diffs (i.e., code...
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02/16/2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
Federated learning (FL) is an important paradigm for training global mod...
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02/10/2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction
Vertical federated learning (VFL) aims to train models from cross-silo d...
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08/30/2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Code summarization aims to generate concise natural language description...
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07/15/2021
Neural Code Summarization: How Far Are We?
Source code summaries are important for the comprehension and maintenanc...
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07/12/2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Commit messages are natural language descriptions of code changes, which...
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07/10/2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search
Recently, deep learning methods have become mainstream in code search si...
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07/05/2021
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
Source code summaries are short natural language descriptions of code sn...
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03/17/2021