{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Chengyun Qiu","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/v-cheqi\/","title":"RobRun: Upgrade Devices with Promptable Intelligence - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"7MgqjeQptx\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/robrun\/\">RobRun: Upgrade Devices with Promptable Intelligence<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/robrun\/embed\/#?secret=7MgqjeQptx\" width=\"600\" height=\"338\" title=\"&#8220;RobRun: Upgrade Devices with Promptable Intelligence&#8221; &#8212; Microsoft Research\" data-secret=\"7MgqjeQptx\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.microsoft.com\/en-us\/research\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"This project aims to develop an LLM-based platform named RobRun. The goal is to upgrade a device with promptable intelligence, enabling it to respond to user prompts or instructions and adapt to diverse tasks. RobRun includes modules for a multi-modality perception encoder, an LLM-based agent, an LLM inference system, a database, and the underlying hardware.   Related publication:   ACL\u201924 \u201cBitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation\u201dhttps:\/\/github.com\/DD-DuDa\/BitDistiller EuroSys\u201925 \u201cT-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge\u201dhttps:\/\/github.com\/microsoft\/T-MAC arXiv \u201cLUT TENSOR CORE: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration\u201d arXiv \u201cAdvancing Multi-Modal Sensing Through Expandable Modality Alignment\u201d arXiv \u201cMaking Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling\u201d"}