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 ...
GitHub

LISA: Reasoning Segmentation via Large Language Model

In this work, we propose a new segmentation task --- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark ...
IEEE

Combining Perfect Shuffle and Bitonic Networks for Efficient Quantum Sorting

Abstract: The emergence of quantum computers in the last decade has generated research interest in applications such as quantum sorting. Quantum sorting plays a critical role in creating ordered sets ...
IEEE

An Optimal Voltage Balancing Control Strategy for MMC-HVDC

Abstract: Sub-module capacitor voltage balancing strategy is the research difficulty of MMC-HVDC project. Based on the quick sort voltage balancing strategy, an optimized sort strategy for submodule ...