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Found 9 papers, 4 papers with code
A Case Study of Web App Coding with OpenAI Reasoning Models
This paper presents a case study of coding tasks by the latest reasoning models of OpenAI, i. e. o1-preview and o1-mini, in comparison with other frontier models.
Ranked #1 on
Code Generation
on WebApp1K-React
Insights from Benchmarking Frontier Language Models on Web App Code Generation
This paper presents insights from evaluating 16 frontier large language models (LLMs) on the WebApp1K benchmark, a test suite designed to assess the ability of LLMs to generate web application code.
Ranked #3 on
Code Generation
on WebApp1K-React
Robust Identification in Randomized Experiments with Noncompliance
We introduce two causal parameters: the local average treatment-controlled direct effect (LATCDE), and the local average instrument-controlled direct effect (LAICDE).
WebApp1K: A Practical Code-Generation Benchmark for Web App Development
We introduce WebApp1K, a practical code-generation benchmark to measure LLM ability to develop web apps.
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma
Automated region of interest detection in histopathological image analysis is a challenging and important topic with tremendous potential impact on clinical practice.
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
The transition towards carbon-neutral electricity is one of the biggest game changers in addressing climate change since it addresses the dual challenges of removing carbon emissions from the two largest sectors of emitters: electricity and transportation.
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
Even though we test the experiments on the skin tumor dataset, our work could also be extended to other medical image detection problems, such as various tumors' classification and prediction, to help and benefit the clinical evaluation and diagnosis of different tumors.
Using EBGAN for Anomaly Intrusion Detection
The generator in IDS-EBGAN is responsible for converting the original malicious network traffic in the training set into adversarial malicious examples.
Build Smart Grids on Artificial Intelligence -- A Real-world Example
Power grid data are going big with the deployment of various sensors.
