Archives

A complete, reproducible pipeline for author-style steering in language models using contrastive activation vectors across mid-level transformer layers.

Comprehensive benchmark study of quantized large language models, evaluating performance metrics, inference speed, and memory efficiency across various quantization techniques.

A practical and neutral benchmark of seven leading STT models, including open-source and proprietary APIs, based on real-world transcription challenges and diverse audio.