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 Deep Reinforcement Learning Framework Assisted by Genetic Programming for Dynamic Flexible Job Shop Scheduling

Abstract: The dynamic flexible job shop scheduling problem with jobs arriving (DFJSP-JA) is a critical scheduling problem in electrolytic aluminum production processes within the aluminum industry. In ...
IEEE

Dynamic Model Identification to Multi-DFIG Integrated Power System Based on Extended Recursive Least Squares Method

Abstract: With increasing wind power, it is urgent to find the dynamic model of power systems with doubly-fed induction generators (DFIGs) for grid security and stability. But in large wind farms, ...