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 ...
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 Provenance-Centric Approach to Code Smell Reduction using Human-in-Loop Approach

Abstract: Code smells are early warning signs of software development whose detection and timely resolution is essential for long-term software quality. Conventional methods used for detecting smells ...
IEEE

High-Precision Open-Loop Time Amplifier Using Current Regulator

Abstract: In this paper, we propose a high-precision open-loop time amplifier (TA) that utilizes a current regulator. In the current regulator, the VTH variation does not cause the current variation; ...