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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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08/26/2023
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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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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06/22/2023
MP3: Movement Primitive-Based (Re-)Planning Policy
We introduce a novel deep reinforcement learning (RL) approach called Mo...
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06/12/2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
Prior studies generally focus on software vulnerability detection and ha...
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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
SAGA: Summarization-Guided Assert Statement Generation
Generating meaningful assert statements is one of the key challenges in ...
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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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03/12/2023
Self-planning Code Generation with Large Language Model
Although large language models have demonstrated impressive ability in c...
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03/05/2023
A Provably Secure Strong PUF based on LWE: Construction and Implementation
We construct a strong PUF with provable security against ML attacks on b...
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03/02/2023
Deep Learning Based Code Generation Methods: A Literature Review
Code Generation aims at generating relevant code fragments according to ...
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02/28/2023
LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
As a crucial infrastructure of intelligent mobile robots, LiDAR-Inertial...
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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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01/26/2023
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring
Image-text pretrained models, e.g., CLIP, have shown impressive general ...
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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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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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10/11/2022
Frequency-Aware Self-Supervised Monocular Depth Estimation
We present two versatile methods to generally enhance self-supervised mo...
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10/04/2022
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
Movement Primitives (MPs) are a well-known concept to represent and gene...
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10/02/2022
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Self-supervised monocular depth estimation (MDE) models universally suff...
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08/22/2022
Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation
Code generation aims to generate a code snippet automatically from natur...
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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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07/30/2022
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding
Consistent quality oriented rate control in video coding has attracted m...
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07/25/2022
Salient Object Detection for Point Clouds
This paper researches the unexplored task-point cloud salient object det...
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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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07/12/2022
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization
Code summarization, the task of generating useful comments given the cod...
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05/29/2022
SKFlow: Learning Optical Flow with Super Kernels
Optical flow estimation is a classical yet challenging task in computer ...
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05/19/2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
The ever-growing model size and scale of compute have attracted increasi...
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04/29/2022
Deep Geometry Post-Processing for Decompressed Point Clouds
Point cloud compression plays a crucial role in reducing the huge cost o...
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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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04/18/2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
Point clouds upsampling is a challenging issue to generate dense and uni...
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04/13/2022
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
We deal with the controllable person image synthesis task which aims to ...
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02/12/2022
OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression
In point cloud compression, sufficient contexts are significant for mode...
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02/12/2022
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval
In video surveillance, pedestrian retrieval (also called person re-ident...
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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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12/23/2021
ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
Pre-trained language models have achieved state-of-the-art results in va...
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12/16/2021
Learning to Share in Multi-Agent Reinforcement Learning
In this paper, we study the problem of networked multi-agent reinforceme...
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12/08/2021