GitHub

Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"

conda create -n archer python==3.10 conda activate archer git clone https://github.com/YifeiZhou02/ArCHer cd ArCHer python -m pip install -e . python3 -m spacy ...
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...
IEEE

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Abstract: The advent of large language models (LLMs) has revolutionized the field of code translation, enabling automated translation between programming languages. Despite these advancements, the ...
IEEE

Flexible and Secure Code Deployment in Federated Learning using Large Language Models: Prompt Engineering to Enhance Malicious Code Detection

Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...