MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
IEEE

Python-Based Optical Character Recognition (OCR)

Abstract: Optical Character Acknowledgment (OCR) stands as a transformative innovation at the crossing point of computer vision and machine learning, encouraging the extraction of printed data from ...
IEEE

Approximate String Matching Algorithm Using Multiple-Character Inverted Lists

Abstract: Approximate string matching algorithms, which permit mismatched characters, are extensively employed in software featuring search tools, database management systems, and various applications ...
GitHub

Fast and Portable Character String Processing in R (with the Unicode ICU)

A comprehensive tutorial and reference manual is available at https://stringi.gagolewski.com/. Check out stringx for a set of wrappers around stringi with a base R ...