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	<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="preload" href="/_next/static/media/569ce4b8f30dc480-s.p.woff2" as="font" crossorigin="" type="font/woff2"/><link rel="preload" href="/_next/static/media/78b756c5b9139e81-s.p.woff2" as="font" crossorigin="" type="font/woff2"/><link rel="preload" href="/_next/static/media/93f479601ee12b01-s.p.woff2" as="font" crossorigin="" type="font/woff2"/><link rel="preload" href="/_next/static/media/c4a2ca76cbcd952a-s.p.woff2" as="font" crossorigin="" type="font/woff2"/><link rel="stylesheet" href="/_next/static/css/885cff2895f42e7f.css" data-precedence="next"/><link rel="preload" as="script" fetchPriority="low" href="/_next/static/chunks/webpack-375a1df0977b566b.js"/><script src="/_next/static/chunks/4bd1b696-18452535c1c4862d.js" async=""></script><script src="/_next/static/chunks/684-8c7f7c22671a5a40.js" async=""></script><script src="/_next/static/chunks/main-app-9616f2d3aada8481.js" async=""></script><script src="/_next/static/chunks/app/page-78a56477d330dfb8.js" async=""></script><meta name="next-size-adjust" content=""/><title>Lite Detective</title><meta name="description" content="Efficient and Accurate Chinese Toxic Text Detection"/><link rel="icon" href="/favicon.ico" type="image/x-icon" sizes="16x16"/><script>document.querySelectorAll('body link[rel="icon"], body link[rel="apple-touch-icon"]').forEach(el => document.head.appendChild(el))</script><script src="/_next/static/chunks/polyfills-42372ed130431b0a.js" noModule=""></script></head><body class="font-roboto __variable_5cfdac __variable_c5376c __variable_9a8899 __variable_10f679 antialiased"><div class="min-h-screen bg-white font-sans flex flex-col items-center px-4"><div class="w-full font-sans flex flex-col items-center mt-16 mb-10"><h1 class="text-4xl md:text-5xl font-extrabold text-center mb-4 tracking-tight font-sharetech"><span class="text-base text-shadow-xl box-border lg:text-2xl">Lite</span> <span class="text-6xl lg:text-8xl">Detective</span> 🕵️</h1><h2 class="text-2xl text-center font-light mb-6 text-gray-700">Lightweight and Accurate Chinese Toxic Text Detection</h2><div class="flex flex-wrap justify-center gap-x-4 gap-y-4 text-base mb-2"><div class="flex flex-col text-center group"><div class="flex items-center gap-2"><a href="https://github.com/AlbertZhaoCA" class="text-blue-600 hover:text-blue-800 text-2xl transition-all duration-300 group-hover:scale-95" target="_blank" rel="noopener noreferrer">Qinjian Zhao <sup class="text-xs align-super text-muted">1</sup></a></div></div><div class="flex flex-col text-center group"><div class="flex items-center gap-2"><a href="https://github.com/HuHLuL" class="text-blue-600 hover:text-blue-800 text-2xl transition-all duration-300 group-hover:scale-95" target="_blank" rel="noopener noreferrer">Mingcheng Hu <sup class="text-xs align-super text-muted">1</sup></a></div></div></div><div class="flex items-center gap-2">{<a href="mailto:zhaoq" class="transition-all duration-300 text-xl text-gray-500 hover:text-blue-700 hover:underline group-hover:scale-105"><sup class="text-xs align-super text-muted">1</sup>zhaoq<!-- --> <span>,</span></a><a href="mailto:humin" class="transition-all duration-300 text-xl text-gray-500 hover:text-blue-700 hover:underline group-hover:scale-105"><sup class="text-xs align-super text-muted">1</sup>humin<!-- --> </a>}<span class="text-lg"> @ kean.edu</span></div><div class="text-center text-gray-500 text-sm mb-2">* Equal Contribution <br/></div><div class="text-center text-gray-500 italic text-base mb-2">CPS 3320 2025</div><div class="text-center text-gray-700 text-base mb-6"><span class="text-xl">Kean University<!-- --> </span></div><div class="flex gap-4 justify-center mb-8"><a href="#" class="inline-flex items-center gap-2 px-6 py-2 rounded-lg bg-indigo-600 text-white font-semibold shadow hover:bg-indigo-700 transition"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" aria-hidden="true" data-slot="icon" class="h-5 w-5"><path stroke-linecap="round" stroke-linejoin="round" d="M19.5 14.25v-2.625a3.375 3.375 0 0 0-3.375-3.375h-1.5A1.125 1.125 0 0 1 13.5 7.125v-1.5a3.375 3.375 0 0 0-3.375-3.375H8.25m0 12.75h7.5m-7.5 3H12M10.5 2.25H5.625c-.621 0-1.125.504-1.125 1.125v17.25c0 .621.504 1.125 1.125 1.125h12.75c.621 0 1.125-.504 1.125-1.125V11.25a9 9 0 0 0-9-9Z"></path></svg>Paper</a><a href="#" class="inline-flex items-center gap-2 px-6 py-2 rounded-lg border border-gray-300 font-semibold text-gray-800 bg-white hover:bg-gray-100 transition"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" aria-hidden="true" data-slot="icon" class="h-5 w-5"><path stroke-linecap="round" stroke-linejoin="round" d="M17.25 6.75 22.5 12l-5.25 5.25m-10.5 0L1.5 12l5.25-5.25m7.5-3-4.5 16.5"></path></svg>Code</a><a href="#" class="inline-flex items-center gap-2 px-6 py-2 rounded-lg border border-gray-300 font-semibold text-gray-800 bg-white hover:bg-gray-100 transition"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" aria-hidden="true" data-slot="icon" class="h-5 w-5"><path stroke-linecap="round" stroke-linejoin="round" d="M4.26 10.147a60.438 60.438 0 0 0-.491 6.347A48.62 48.62 0 0 1 12 20.904a48.62 48.62 0 0 1 8.232-4.41 60.46 60.46 0 0 0-.491-6.347m-15.482 0a50.636 50.636 0 0 0-2.658-.813A59.906 59.906 0 0 1 12 3.493a59.903 59.903 0 0 1 10.399 5.84c-.896.248-1.783.52-2.658.814m-15.482 0A50.717 50.717 0 0 1 12 13.489a50.702 50.702 0 0 1 7.74-3.342M6.75 15a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm0 0v-3.675A55.378 55.378 0 0 1 12 8.443m-7.007 11.55A5.981 5.981 0 0 0 6.75 15.75v-1.5"></path></svg>arXiv</a></div></div><section class="max-w-2xl md:max-w-4xl text-center mb-12"><h3 class="text-xl font-semibold mb-2">Abstract</h3><p class="text-gray-700">Lite Detective is a lightweight yet accurate model for detecting toxic content in Chinese. It leverages efficient neural architectures to achieve high accuracy while being fast and easy to deploy, making it suitable for real-world applications and resource-constrained environments.</p></section><section class="max-w-2xl md:max-w-4xl text-center mb-12"><h3 class="text-xl font-semibold mb-2">Method</h3><p class="text-gray-700">Our model combines a lightweight transformer encoder with a multi-scale CNN feature extractor and a context-aware classification head.</p></section><section class="w-full md:max-w-4xl max-w-2xl mb-12"><h3 class="text-xl font-semibold mb-2 text-center">Online Demo</h3><div class="w-full max-w-2xl mx-auto bg-gray-50 rounded-lg shadow p-4 flex flex-col" style="min-height:400px"><div class="flex-1 overflow-y-auto mb-4 space-y-2"><div class="flex justify-start"><div class="
	px-4 py-2 rounded-2xl max-w-[80%] break-words
	bg-gray-200 text-gray-700 self-start text-xs
	">草尼玛的一群煞笔</div></div><div class="flex justify-start"><div class="
	px-4 py-2 rounded-2xl max-w-[80%] break-words
	bg-gray-200 text-gray-700 self-start text-xs
	">🐶日的哈麻批，该放假不放假，上你妈批的课啊</div></div><div class="flex justify-start"><div class="
	px-4 py-2 rounded-2xl max-w-[80%] break-words
	bg-gray-200 text-gray-700 self-start text-xs
	">老哥🀄️啊，因为人领导每天都是放假捏捏 😋</div></div><div class="flex justify-start"><div class="
	px-4 py-2 rounded-2xl max-w-[80%] break-words
	bg-gray-200 text-gray-700 self-start text-xs
	">密码的周六能不能放过我一次</div></div></div><form class="flex gap-2"><input class="flex-1 px-3 py-2 border border-gray-300 rounded-2xl focus:outline-none focus:ring-2 focus:ring-blue-400" placeholder="在这里输入你想检测的内容…" value=""/><button type="submit" class="px-5 py-2 rounded-2xl bg-blue-500 text-white font-medium hover:bg-blue-600 disabled:opacity-50">发送</button></form></div></section></div><!--$--><!--/$--><!--$--><!--/$--><script src="/_next/static/chunks/webpack-375a1df0977b566b.js" 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