r80/detail.html · 约 2572 字符
1<!doctype html>
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5<meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=1,user-scalable=no">
6<title>课题详情</title>
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8</head>
9<body>
10<div class="app">
11 <header class="top">
12 <div class="top-l">学生端 · 张同学</div>
13 <div class="top-r">课题详情</div>
14 </header>
15 <main class="main">
16<div class="card">
17 <div class="row"><div class="nm" style="font-size:16px;font-weight:700">基于大语言模型的代码缺陷检测</div></div>
18 <div class="row" style="margin-top:10px"><div class="avatar">陈</div><div class="info" style="flex:1">
19 <div class="nm" style="font-size:13px">陈明 教授</div><div class="muted">软件学院 · 代码智能实验室</div></div>
20 <span class="tag line">AI</span></div>
21 <div class="hr"></div>
22 <div class="kv"><span class="k">课题类型</span><span class="v">应用研究</span></div>
23 <div class="kv"><span class="k">所属方向</span><span class="v">软件工程 / AI4SE</span></div>
24 <div class="kv"><span class="k">招生名额</span><span class="v">5 人（余 3）</span></div>
25 <div class="kv"><span class="k">难度</span><span class="v">★★★☆☆</span></div>
26</div>
27<div class="card">
28 <div class="sec-title">课题简介</div>
29 <div class="muted" style="line-height:1.8">面向开源项目，研究利用大语言模型对提交代码进行缺陷定位与分类。需构建细粒度标注数据集，设计提示词模板与检索增强流程，并在真实仓库上验证召回率与误报率，形成可复用的检测工具原型。</div>
30</div>
31<div class="card">
32 <div class="sec-title">要求与产出</div>
33 <div class="muted" style="line-height:1.9">· 熟悉 Python 与 PyTorch<br>· 了解静态分析基础<br>· 提交：开题报告、中期检查、论文、原型系统<br>· 预期成果：1 篇会议论文或专利</div>
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