GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
IEEE

A Novel Mathematical Model for the Flexible Job-Shop Scheduling Problem With Limited Automated Guided Vehicles

Abstract: Automated Guided Vehicles (AGVs) have found widespread application in discrete manufacturing systems. In flexible job-shop environments, the integrated scheduling of machines and AGVs is a ...
GitHub

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context

This repository contains the official implementation of our ICML 2024 paper, VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. VisionGraph, is a benchmark ...
IEEE

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments

Abstract: We present a novel data-driven Parametric Linear Blend Skinning (PLBS) model meticulously crafted for generalized 3D garment dressing and animation. Previous data-driven methods are impeded ...