Search Results for author:
Found 6 papers, 5 papers with code
TACO: Topics in Algorithmic COde generation dataset
Moreover, each TACO problem includes several fine-grained labels such as task topics, algorithms, programming skills, and difficulty levels, providing a more precise reference for the training and evaluation of code generation models.
Ranked #1 on
Code Generation
on TACO-Code
DPFNet: A Dual-branch Dilated Network with Phase-aware Fourier Convolution for Low-light Image Enhancement
To alleviate this problem, we propose a novel module using the Fourier coefficients, which can recover high-quality texture details under the constraint of semantics in the frequency phase and supplement the spatial domain.
M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization
They use the learned code representations as input to code summarization models, which can accordingly generate summaries describing source code.
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
In this paper, we present TreeBERT, a tree-based pre-trained model for improving programming language-oriented generation tasks.
Embedding API Dependency Graph for Neural Code Generation
In recent years, many deep learning based approaches have been proposed, which can generate a sequence of code from a sequence of textual program description.
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network
In this paper, we propose a new few-shot text classification method.
