Search Results for author:
Found 4 papers, 3 papers with code
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
Large Language Models (LLMs) have significantly aided developers by generating or assisting in code writing, enhancing productivity across various tasks.
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
This approach led to the development of SemCoder, a Code LLM with only 6. 7B parameters, which shows competitive performance with GPT-3. 5-turbo on code generation and execution reasoning tasks.
Quarl: A Learning-Based Quantum Circuit Optimizer
Applying reinforcement learning (RL) to quantum circuit optimization raises two main challenges: the large and varying action space and the non-uniform state representation.
NeuRI: Diversifying DNN Generation via Inductive Rule Inference
NeuRI finds 100 new bugs for PyTorch and TensorFlow in four months, with 81 already fixed or confirmed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
