Dong Huang
- Papers
- 10
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Authored papers
10Seed-Coder: Let the Code Model Curate Data for Itself
arXiv 2025
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
arXiv 2025
MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation
arXiv 2024
Measuring the Influence of Incorrect Code on Test Generation
arXiv 2024
EffiBench: Benchmarking the Efficiency of Automatically Generated Code
arXiv 2024
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
arXiv 2024
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization
arXiv 2024
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
arXiv 2023
Adversarial Feature Map Pruning for Backdoor
arXiv 2023
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
polarized-self-attention-towards-high-quality
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10from 10 papers