b'Ge Li'

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

∙ 08/26/2023

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

∙ 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

∙ 06/22/2023

MP3: Movement Primitive-Based (Re-)Planning Policy

We introduce a novel deep reinforcement learning (RL) approach called Mo...

0 Fabian Otto, et al. ∙

research

∙ 06/12/2023

LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types

Prior studies generally focus on software vulnerability detection and ha...

0 Xin-Cheng Wen, 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

SAGA: Summarization-Guided Assert Statement Generation

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

0 Yuwei Zhang, 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

∙ 03/12/2023

Self-planning Code Generation with Large Language Model

Although large language models have demonstrated impressive ability in c...

0 Xue Jiang, et al. ∙

research

∙ 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...

0 Xiaodan Xi, et al. ∙

research

∙ 03/02/2023

Deep Learning Based Code Generation Methods: A Literature Review

Code Generation aims at generating relevant code fragments according to ...

0 Zezhou Yang, et al. ∙

research

∙ 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...

0 Xingyu Chen, 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

∙ 01/26/2023

Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring

Image-text pretrained models, e.g., CLIP, have shown impressive general ...

0 Ruyang Liu, 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

∙ 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

∙ 10/11/2022

Frequency-Aware Self-Supervised Monocular Depth Estimation

We present two versatile methods to generally enhance self-supervised mo...

0 Xingyu Chen, et al. ∙

research

∙ 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...

3 Ge Li, et al. ∙

research

∙ 10/02/2022

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

Self-supervised monocular depth estimation (MDE) models universally suff...

0 Xingyu Chen, et al. ∙

research

∙ 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...

0 Sijie Shen, 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

∙ 07/30/2022

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...

0 Wei Gao, et al. ∙

research

∙ 07/25/2022

Salient Object Detection for Point Clouds

This paper researches the unexplored task-point cloud salient object det...

0 Songlin Fan, 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

∙ 07/12/2022

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...

0 Lin Shi, et al. ∙

research

∙ 05/29/2022

SKFlow: Learning Optical Flow with Super Kernels

Optical flow estimation is a classical yet challenging task in computer ...

0 Shangkun Sun, et al. ∙

research

∙ 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...

8 Yang Xiang, et al. ∙

research

∙ 04/29/2022

Deep Geometry Post-Processing for Decompressed Point Clouds

Point cloud compression plays a crucial role in reducing the huge cost o...

0 Xiaoqing Fan, 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

∙ 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...

0 Wenbo Zhao, et al. ∙

research

∙ 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 ...

5 Yurui Ren, et al. ∙

research

∙ 02/12/2022

OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression

In point cloud compression, sufficient contexts are significant for mode...

0 Chunyang Fu, et al. ∙

research

∙ 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...

0 Xianghao Zang, 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

∙ 12/23/2021

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...

4 Shuohuan Wang, et al. ∙

research

∙ 12/16/2021

Learning to Share in Multi-Agent Reinforcement Learning

In this paper, we study the problem of networked multi-agent reinforceme...

0 Yuxuan Yi, et al. ∙

research

∙ 12/08/2021

Specializing Versatile Skill Libraries using Local Mixture of Experts

A long-cherished vision in robotics is to equip robots with skills that ...

0 Onur Celik, et al. ∙

Ge Li

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