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

Infrared Small Target Detection via Nested U-Structure With Attention and Multiscale Feature Pyramid

Abstract: With the advancement of infrared technology, infrared small target detection plays a crucial role in precise guidance and warning systems, attracting widespread attention from researchers.
IEEE

Nested Stacking TSK Fuzzy Classifier by Additive-Rule-Decomposition & Anti-Noisy-Labeling Based Learning on Large-Scale Noisy Labeling Data

Abstract: This study explores how to develop a novel deep stacking Takagi–Sugeno–Kang (TSK) fuzzy classifier to efficiently realize interpretable classification for large-scale multi-class complex ...