Researchers from Standford, Princeton, and Cornell have developed a new benchmark to better evaluate coding abilities of large language models (LLMs). Called CodeClash, the new benchmark pits LLMs ...

Research on lossless source code compression using LLMs. Combines traditional compressors with language models to improve compression ratio while keeping high throughput.

Abstract: Electroencephalography (EEG) signals are widely used in neurological research and clinical applications, including AI-based data analysis, emotion recognition, and disease monitoring.

Three candidates are running in the heavily conservative district: Republicans Leigh Wambsganss and John Huffman, and Democrat Taylor Rehmet.

Implement Huffman Coding, a greedy algorithm used in file compression (ZIP, JPEG, etc.) that encodes data based on character frequency. Count frequency of each character. Build a min-heap tree based ...