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 ...
Nature

High-resolution insertion-site analysis by linear amplification–mediated PCR (LAM-PCR)

The design of short LAM-PCR amplicons that do not exceed several hundred base pairs is critical for the efficiency of each analysis. Amplicons should be long enough to be resolved by electropheresis ...
IEEE

Data-Driven Linear Parameter-Varying Model Predictive Control for Unknown Nonlinear Systems

Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
IEEE

A Novel Linear Impedance Model as an Alternative to the Fractional-Order Cole Models

Abstract: The fractional order Cole models are the most common form of electrical equivalent circuits (EEC) to model complex impedance (Z) of various dielectric materials like electrodes, sensors, ...
GitHub

AutoJudge – Programming Problem Difficulty Predictor

AutoJudge is a machine learning–based system that predicts the difficulty of programming problems using only their textual descriptions. It outputs both a difficulty class (Easy / Medium / Hard) and a ...
GitHub

QSVD: Efficient Low-Rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models

This repository provides the official implementation of QSVD, a method for efficient low-rank approximation that unifies Query-Key-Value (QKV) weight compression in low-precision Vision-Language ...