update

Author: BowenBryanWang

next.config.js

@@ -1,10 +1,10 @@
 /** @type {import('next').NextConfig} */
 const nextConfig = {
   output: 'export',
-  basePath: process.env.NODE_ENV === "production" ? "/xlang-website" : "",
+  basePath: process.env.NODE_ENV === "production" ? "/" : "",
   images: {
     unoptimized: true,
-    path: process.env.NODE_ENV === "production" ? "/xlang-website" : "",
+    path: process.env.NODE_ENV === "production" ? "/" : "",
   },
   reactStrictMode: true,
   swcMinify: true,

pages/components/Welcome/Welcome.tsx

@@ -16,11 +16,9 @@ const Welcome = () => {
             <span style={{ color: '#643EAD' }}> G</span>rounding (XLANG)
           </span> Lab!
           We are part of the <a href="https://nlp.cs.hku.hk/" target="_blank" className="underline">HKU NLP Group</a> at the University of Hong Kong.
-          We focus on building language model agents that transform (“grounding”) language instructions into code or actions executable in real-world environments,
-          including databases (data agent), web applications (plugins/web agent), and the physical world (robotic agent) etc,.
-          XLANG lies at the heart of language model agents or natural language interfaces that can interact with and learn from these real-world environments to facilitate human interaction with data analysis,
-          web applications, and robotic instruction through conversation.
-          Recent advances in XLANG incorporate techniques such as LLM + external tools, code generation, semantic parsing, efficient and generalizable LLMs, and dialog or interactive systems.
+          We focus on developing grounded AI agents that empower users to use language to interact with digital and physical environments to carry out real-world tasks.
+          Our systems ground language and perception into code and actions executable in the corresponding environments, including databases (data/coding agent), computers (computer use agent), and the physical world (robotic agent) etc,.
+          Through these agents, we aim to enable non-experts to access complex systems such as databases, software, and robots while unlocking functionalities across existing applications and physical systems that dramatically expand AI capabilities.
         </p>
         <div className='col-span-4'>
           <img 

pages/team.tsx

@@ -62,10 +62,10 @@ const Team = ({
 const Intro = () => {
   return (
     <div className='flex flex-col gap-2'>
-      <h1 className='text-2xl font-[500]'>Team</h1>
+      {/* <h1 className='text-2xl font-[500]'>Team</h1>
       <p className="leading-7">
         Our research team is dedicated to crafting language model agents that link language instructions to executable code or actions, enabling the execution of complex tasks in real-world scenarios. Consisting of a diverse and interdisciplinary group, our team merges expertise from fields such as NLP, HCI, DB, CV, VIS, Robotics, UI, DataSci, and Code/PL. This collaborative approach lets us explore our investigations from multiple angles, fostering a thorough understanding of the subject.
-      </p>
+      </p> */}
       {/*  <a href="https://forms.gle/3Ki9ectMB5D31F8g8" target="_blank" rel="noopener noreferrer">*/}
       {/*<button className='btn btn-secondary text-xs py-1 w-24'>Join Us</button>*/}
       {/*  </a>*/}

utils/index.ts

@@ -1,7 +1,7 @@
 export const publicFilePath = (path: string) => {
   // For deployment to github pages
   if (process.env.NODE_ENV === "production") {
-    return `/xlang-website${path}`;
+    return `/${path}`;
   } else {
     return path;
   }