InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
IEEE

A Weighted Co-Training Framework for Emotion Recognition Based on EEG Data Generation Using Frequency-Spatial Diffusion Transformer

Abstract: Emotion recognition based on EEG signals has been a challenging task. The acquisition of EEG signals is complex, time-consuming, and has a high overhead. Artificial Intelligence Generated ...
IEEE

Recursive Digital Predistortion With Data-Driven Behavioral Modeling

Abstract: This work proposes a digital predistortion (DPD) approach in which the power amplifier (PA) is represented by a memory polynomial model identified from input–output data, and its inverse is ...