-
Notifications
You must be signed in to change notification settings - Fork 9
/
Copy pathindex.html
315 lines (289 loc) · 13.7 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="keywords" content="Large Language Models, Intellectual Property, Benchmark">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>AutoPatent: A Multi-Agent Framework for Automatic Patent Generation</title>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-PYVRSFMDRL"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'G-PYVRSFMDRL');
</script>
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="stylesheet" href="./static/css/bulma.min.css">
<link rel="stylesheet" href="./static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="./static/css/bulma-slider.min.css">
<link rel="stylesheet" href="./static/css/fontawesome.all.min.css">
<link rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="./static/css/index.css">
<link rel="icon" href="./static/images/favicon.svg">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script defer src="./static/js/fontawesome.all.min.js"></script>
<script src="./static/js/bulma-carousel.min.js"></script>
<script src="./static/js/bulma-slider.min.js"></script>
<script src="./static/js/index.js"></script>
</head>
<body>
<nav class="navbar" role="navigation" aria-label="main navigation">
<div class="navbar-brand">
<a role="button" class="navbar-burger" aria-label="menu" aria-expanded="false">
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
<span aria-hidden="true"></span>
</a>
</div>
<div class="navbar-menu">
<div class="navbar-start" style="flex-grow: 1; justify-content: center;">
<a class="navbar-item" href="https://Qiyao-Wang.github.io">
<span class="icon">
<i class="fas fa-home"></i>
</span>
</a>
<div class="navbar-item has-dropdown is-hoverable">
<a class="navbar-link">
More Research
</a>
<div class="navbar-dropdown">
<a style="color: black;user-select: none;padding-left: 5px;"><strong>Benchmark</strong></a>
<a class="navbar-item" href="https://Qiyao-Wang.github.io/ipeval/">
IPEval
</a>
<a style="color: black;user-select: none;padding-left: 5px;"><strong>Patent</strong></a>
<a class="navbar-item" href="https://Qiyao-Wang.github.io/AutoPatent/">
AutoPatent
</a>
</div>
</div>
</div>
</div>
</nav>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h3 align="center"><img style="margin:auto;" src='./static/images/logo.png' width=250px></h3>
<h1 class="title is-1 publication-title">AutoPatent: A Multi-Agent Framework for Automatic Patent Generation</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://Qiyao-Wang.github.io">Qiyao Wang</a><sup>1,2*</sup>,</span>
<span class="author-block">
<a href="https://shiwen-ni.top/">Shiwen Ni</a><sup>1*</sup>,</span>
<span class="author-block">
Huaren Liu<sup>2</sup>,</span>
<span class="author-block">
Shule Lu<sup>2</sup>,</span>
<span class="author-block">
Guhong Chen<sup>1,3</sup>,</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">
Xi Feng<sup>1</sup>,</span>
<span class="author-block">
Chi Wei<sup>1</sup>,</span>
<span class="author-block">
Qiang Qu<sup>1</sup>,</span>
<span class="author-block">
Hamid Alinejad-Rokny<sup>5</sup>,</span>
<span class="author-block">
Yuan Lin<sup>2†</sup>,</span>
<span class="author-block">
<a href="https://minyang.me/">Min Yang</a><sup>1,4†</sup></span>
</div>
<div class="is-size-5 publication-authors">
*Equal Contribution, †Corresponding Author
</div>
<div class="is-size-5 publication-authors">
<div class="author-block"><sup>1</sup>Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences</div>
</div>
<div class="is-size-5 publication-authors">
<div class="author-block"><sup>2</sup>Dalian University of Technology</div>
</div>
<div class="is-size-5 publication-authors">
<div class="author-block"><sup>3</sup>Southern University of Science and Technology</div>
</div>
<div class="is-size-5 publication-authors">
<div class="author-block"><sup>4</sup>Shenzhen University of Advanced Technology</div>
</div>
<div class="is-size-5 publication-authors">
<div class="author-block"><sup>5</sup>The University of New South Wales</div>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="https://arxiv.org/abs/2412.09796"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper</span>
</a>
</span>
<span class="link-block">
<a href="https://arxiv.org/abs/2412.09796"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
<!-- Video Link. -->
<!-- <span class="link-block">
<a href="https://www.youtube.com/watch?v=MrKrnHhk8IA"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-youtube"></i>
</span>
<span>Video</span>
</a>
</span> -->
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/QiYao-Wang/AutoPatent"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<!-- Dataset Link. -->
<span class="link-block">
<a href=""
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="far fa-images"></i>
</span>
<span>Data</span>
</a>
</span>
<span class="link-block">
<a href=""
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Demo</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<video id="teaser" autoplay muted loop playsinline height="100%">
<source src="./static/videos/AutoPatent-Demo-Version1.mp4"
type="video/mp4">
</video>
<h2 class="subtitle has-text-centered">
<strong>AutoPatent</strong> Demo Video
</h2>
</div>
</div>
</section>
<section>
<div class="container is-max-desktop">
<!-- Abstract. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
As the capabilities of Large Language Models (LLMs) continue to advance, the field of patent processing has garnered increased attention within the natural language processing community. However, the majority of research has been concentrated on classification tasks, such as patent categorization and examination, or on short text generation tasks like patent summarization and patent quizzes. In this paper, we introduce a novel and practical task known as Draft2Patent, along with its corresponding D2P benchmark, which challenges LLMs to generate full-length patents averaging 17K tokens based on initial drafts. Patents present a significant challenge to LLMs due to their specialized nature, standardized terminology, and extensive length. We propose a multi-agent framework called AutoPatent which leverages the LLM-based planner agent, writer agents, and examiner agent with PGTree and RRAG to generate lengthy, intricate, and high-quality complete patent documents. The experimental results demonstrate that our AutoPatent framework significantly enhances the ability to generate comprehensive patents across various LLMs. Furthermore, we have discovered that patents generated solely with the AutoPatent framework based on the Qwen2.5-7B model outperform those produced by larger and more powerful LLMs, such as GPT-4o, Qwen2.5-72B, and LLAMA3.1-70B, in both objective metrics and human evaluations. We will make the data and code available upon acceptance at <a href="https://github.com/QiYao-Wang/AutoPatent">Github</a>.
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
<!-- Paper video. -->
<!-- <div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Video</h2>
<div class="publication-video">
<iframe src="https://www.youtube.com/embed/MrKrnHhk8IA?rel=0&showinfo=0"
frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
</div>
</div>
</div> -->
<!--/ Paper video. -->
<!-- </div> -->
<!-- <section class="section"> -->
<!-- Concurrent Work. -->
<!-- <div class="columns is-centered"> -->
<!-- <div class="column is-full-width"> -->
<!-- <h2 class="title is-3">Related Links</h2> -->
<!-- <div class="content has-text-justified"> -->
<!-- <p> -->
<!-- There's a lot of excellent work that was introduced around the same time as ours. -->
<!-- </p> -->
<!-- <p> -->
<!-- <a href="https://arxiv.org/abs/2104.09125">Progressive Encoding for Neural Optimization</a> introduces an idea similar to our windowed position encoding for coarse-to-fine optimization. -->
<!-- </p> -->
<!-- <p> -->
<!-- <a href="https://www.albertpumarola.com/research/D-NeRF/index.html">D-NeRF</a> and <a href="https://gvv.mpi-inf.mpg.de/projects/nonrigid_nerf/">NR-NeRF</a> -->
<!-- both use deformation fields to model non-rigid scenes. -->
<!-- </p> -->
<!-- <p> -->
<!-- Some works model videos with a NeRF by directly modulating the density, such as <a href="https://video-nerf.github.io/">Video-NeRF</a>, <a href="https://www.cs.cornell.edu/~zl548/NSFF/">NSFF</a>, and <a href="https://neural-3d-video.github.io/">DyNeRF</a> -->
<!-- </p> -->
<!-- <p> -->
<!-- There are probably many more by the time you are reading this. Check out <a href="https://dellaert.github.io/NeRF/">Frank Dellart's survey on recent NeRF papers</a>, and <a href="https://github.com/yenchenlin/awesome-NeRF">Yen-Chen Lin's curated list of NeRF papers</a>. -->
<!-- </p> -->
<!-- </div> -->
<!-- </div> -->
<!-- </div> -->
<!--/ Concurrent Work. -->
<!-- </div> -->
</section>
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{wang2024autopatent,
title={AutoPatent: A Multi-Agent Framework for Automatic Patent Generation},
author={Wang, Qiyao and Ni, Shiwen and Liu, Huaren and Lu, Shule and Chen, Guhong and Feng, Xi and Wei, Chi and Qu, Qiang and Alinejad-Rokny, Hamid and Lin, Yuan and others},
journal={arXiv preprint arXiv:2412.09796},
year={2024}
}</code></pre>
</div>
</section>
<footer class="footer">
<div class="container">
<div class="content has-text-centered">
<a class="icon-link" href="https://github.com/Qiyao-Wang.github.io" class="external-link" disabled>
<i class="fab fa-github"></i>
</a>
</div>
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This website is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by-sa/4.0/">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
<p>
We thank the authors of <a
href="https://github.com/nerfies/nerfies.github.io">Nerfies</a> that kindly open sourced the template of this website.
</p>
</div>
</div>
</div>
</div>
</footer>
</body>
</html>