Upload 27 files

.gitattributes

@@ -57,3 +57,20 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+data/10/一种自动构建STRIDE威胁规则模型和更新规则库的方法_付昌兰.pdf filter=lfs diff=lfs merge=lfs -text
+data/11/预测控制在步进梁加热炉先进控制中的应用研究_汪开红.pdf filter=lfs diff=lfs merge=lfs -text
+data/12/城市空中交通系统最优规模评估与调度_郭戈.pdf filter=lfs diff=lfs merge=lfs -text
+data/13/基于CORBA协议开放式算法仿真平台的体系结构设计_陈治纲.pdf filter=lfs diff=lfs merge=lfs -text
+data/14/基于机器学习的粪污还田过程低氨排放优化策略构建_刘德钊.pdf filter=lfs diff=lfs merge=lfs -text
+data/15/基于贝叶斯稀疏自编码器的蓄积性疲劳特征重构对机器学习模型预测制造业员工职业紧张的提升作用_宋涛.pdf filter=lfs diff=lfs merge=lfs -text
+data/16/间歇过程优化与先进控制综述_陈治纲.pdf filter=lfs diff=lfs merge=lfs -text
+data/17/面向开放互联网的科学数据挖掘与理解_卢彬.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_1/1406.2661v1.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_2/1412.6980v9.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_3/1512.03385v1.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_4/1706.03762v7.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_5/2005.14165v4.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_6/2201.11903v6.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_7/2302.13971v1.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_8/NeurIPS-2024-improving-deep-reinforcement-learning-by-reducing-the-chain-effect-of-value-and-policy-churn-Paper-Conference.pdf filter=lfs diff=lfs merge=lfs -text
+data/en_9/NeurIPS-2024-remap-neural-model-reprogramming-with-network-inversion-and-retrieval-augmented-mapping-for-adaptive-motion-forecasting-Paper-Conference.pdf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,79 @@
+Parse it into this format
+
+```
+{
+  "metadata": {
+    "equal_contribution_detected": true, 
+    "extracted_emails": [
+      "email1@example.com",
+      "email2@example.com"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "String", (drop middle name)
+      "last_name": "String",
+      "organization": "String (Optional)",
+      "school_department": "String (Optional)"
+    },
+    {
+      "rank": 2,
+...
+    }
+  ]
+}
+```
+
+
+```
+user@fedora ~/Downloads> tree
+.
+└── example_data
+    ├── 10
+    │   └── 一种自动构建STRIDE威胁规则模型和更新规则库的方法_付昌兰.pdf
+    ├── 11
+    │   └── 预测控制在步进梁加热炉先进控制中的应用研究_汪开红.pdf
+    ├── 12
+    │   └── 城市空中交通系统最优规模评估与调度_郭戈.pdf
+    ├── 13
+    │   └── 基于CORBA协议开放式算法仿真平台的体系结构设计_陈治纲.pdf
+    ├── 14
+    │   └── 基于机器学习的粪污还田过程低氨排放优化策略构建_刘德钊.pdf
+    ├── 15
+    │   └── 基于贝叶斯稀疏自编码器的蓄积性疲劳特征重构对机器学习模型预测制造业员工职业紧张的提升作用_宋涛.pdf
+    ├── 16
+    │   └── 间歇过程优化与先进控制综述_陈治纲.pdf
+    ├── 17
+    │   └── 面向开放互联网的科学数据挖掘与理解_卢彬.pdf
+    ├── en_1
+    │   ├── 1406.2661v1.pdf
+    │   └── authors.json
+    ├── en_2
+    │   ├── 1412.6980v9.pdf
+    │   └── authors.json
+    ├── en_3
+    │   ├── 1512.03385v1.pdf
+    │   └── authors.json
+    ├── en_4
+    │   ├── 1706.03762v7.pdf
+    │   └── authors.json
+    ├── en_5
+    │   ├── 2005.14165v4.pdf
+    │   └── authors.json
+    ├── en_6
+    │   ├── 2201.11903v6.pdf
+    │   └── authors.json
+    ├── en_7
+    │   ├── 2302.13971v1.pdf
+    │   └── authors.json
+    ├── en_8
+    │   ├── authors.json
+    │   └── NeurIPS-2024-improving-deep-reinforcement-learning-by-reducing-the-chain-effect-of-value-and-policy-churn-Paper-Conference.pdf
+    ├── en_9
+    │   ├── authors.json
+    │   └── NeurIPS-2024-remap-neural-model-reprogramming-with-network-inversion-and-retrieval-augmented-mapping-for-adaptive-motion-forecasting-Paper-Conference.pdf
+    └── README.md
+
+19 directories, 27 files
+```

data/10/一种自动构建STRIDE威胁规则模型和更新规则库的方法_付昌兰.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1d84a7a928d01473050c1e3364cd6139a6a5fdb7279efcdf941e6dd66cd6b49
+size 2044742

data/11/预测控制在步进梁加热炉先进控制中的应用研究_汪开红.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b3f768ce9402ae9607799294cdd9d772bfde438b218e8f58f4536ca0283c4bc
+size 368096

data/12/城市空中交通系统最优规模评估与调度_郭戈.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e13bed169b10648514567e36563c8ecb8fea8436fab6ec6b875c1e47c4323bd2
+size 2140340

data/13/基于CORBA协议开放式算法仿真平台的体系结构设计_陈治纲.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8de16ca4911dacade6d7a9d58327fd66f4022f5cfd15773da5622ebbf6eba896
+size 106990

data/14/基于机器学习的粪污还田过程低氨排放优化策略构建_刘德钊.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19ca4b302b7335437c5dceada939b3c57fce32a1d07b8cec95a1b93497629c50
+size 1982800

data/15/基于贝叶斯稀疏自编码器的蓄积性疲劳特征重构对机器学习模型预测制造业员工职业紧张的提升作用_宋涛.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91024984cdfedc1c25c291081dd6650d5a29bf8b04d5d0635a57f29950d1b312
+size 2331725

data/16/间歇过程优化与先进控制综述_陈治纲.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce5c5ca23db27128403a8684e3faff0a8ce497dc0c70a76e079a6a9bb33e459a
+size 404373

data/17/面向开放互联网的科学数据挖掘与理解_卢彬.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d253a4d40d3bb05f14e828f62b33d92f019715f1abeb453180c1447677f8a025
+size 1543293

data/en_1/1406.2661v1.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff5819e3a7b713c3bd3107b7de3d51fe0a347aa5d8444f0efdcf2345ef0a8b63
+size 530482

data/en_1/authors.json

@@ -0,0 +1,64 @@
+{
+  "metadata": {
+    "equal_contribution_detected": false,
+    "extracted_emails": []
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Ian",
+      "last_name": "Goodfellow",
+      "organization": "Universit ́e de Montr ́eal",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 2,
+      "first_name": "Jean",
+      "last_name": "Pouget-Abadie",
+      "organization": "Universit ́e de Montr ́eal / Ecole Polytechnique",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 3,
+      "first_name": "Mehdi",
+      "last_name": "Mirza",
+      "organization": "Universit ́e de Montr ́eal",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 4,
+      "first_name": "Bing",
+      "last_name": "Xu",
+      "organization": "Universit ́e de Montr ́eal",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 5,
+      "first_name": "David",
+      "last_name": "Warde-Farley",
+      "organization": "Universit ́e de Montr ́eal",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 6,
+      "first_name": "Sherjil",
+      "last_name": "Ozair",
+      "organization": "Universit ́e de Montr ́eal / Indian Institute of Technology Delhi",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 7,
+      "first_name": "Aaron",
+      "last_name": "Courville",
+      "organization": "Universit ́e de Montr ́eal",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    },
+    {
+      "rank": 8,
+      "first_name": "Yoshua",
+      "last_name": "Bengio",
+      "organization": "Universit ́e de Montr ́eal",
+      "school_department": "D ́epartement d’informatique et de recherche op ́erationnelle"
+    }
+  ]
+}

data/en_2/1412.6980v9.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eab9c73ae2ceda884b94830bda99312254bac4806f6c9f045cbab90721ecda31
+size 584641

data/en_2/authors.json

@@ -0,0 +1,25 @@
+{
+  "metadata": {
+    "equal_contribution_detected": true,
+    "extracted_emails": [
+      "dpkingma@openai.com",
+      "jimmy@psi.utoronto.ca"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Diederik",
+      "last_name": "Kingma",
+      "organization": "OpenAI",
+      "school_department": "University of Amsterdam"
+    },
+    {
+      "rank": 2,
+      "first_name": "Jimmy",
+      "last_name": "Ba",
+      "organization": "University of Toronto",
+      "school_department": null
+    }
+  ]
+}

data/en_3/1512.03385v1.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e0651b6810ecba34a3dbc5b5b0209226f889004607c1f203540a48d64e5a93a
+size 819383

data/en_3/authors.json

@@ -0,0 +1,37 @@
+{
+  "metadata": {
+    "equal_contribution_detected": false,
+    "extracted_emails": [
+      "kahe@microsoft.com",
+      "v-xiangz@microsoft.com",
+      "v-shren@microsoft.com",
+      "jiansun@microsoft.com"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Kaiming",
+      "last_name": "He",
+      "organization": "Microsoft Research"
+    },
+    {
+      "rank": 2,
+      "first_name": "Xiangyu",
+      "last_name": "Zhang",
+      "organization": "Microsoft Research"
+    },
+    {
+      "rank": 3,
+      "first_name": "Shaoqing",
+      "last_name": "Ren",
+      "organization": "Microsoft Research"
+    },
+    {
+      "rank": 4,
+      "first_name": "Jian",
+      "last_name": "Sun",
+      "organization": "Microsoft Research"
+    }
+  ]
+}

data/en_4/1706.03762v7.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdfaa68d8984f0dc02beaca527b76f207d99b666d31d1da728ee0728182df697
+size 2215244

data/en_4/authors.json

@@ -0,0 +1,65 @@
+{
+  "metadata": {
+    "equal_contribution_detected": true,
+    "extracted_emails": [
+      "avaswani@google.com",
+      "noam@google.com",
+      "nikip@google.com",
+      "usz@google.com",
+      "llion@google.com",
+      "aidan@cs.toronto.edu",
+      "lukaszkaiser@google.com",
+      "illia.polosukhin@gmail.com"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Ashish",
+      "last_name": "Vaswani",
+      "organization": "Google Brain"
+    },
+    {
+      "rank": 2,
+      "first_name": "Noam",
+      "last_name": "Shazeer",
+      "organization": "Google Brain"
+    },
+    {
+      "rank": 3,
+      "first_name": "Niki",
+      "last_name": "Parmar",
+      "organization": "Google Research"
+    },
+    {
+      "rank": 4,
+      "first_name": "Jakob",
+      "last_name": "Uszkoreit",
+      "organization": "Google Research"
+    },
+    {
+      "rank": 5,
+      "first_name": "Llion",
+      "last_name": "Jones",
+      "organization": "Google Research"
+    },
+    {
+      "rank": 6,
+      "first_name": "Aidan",
+      "last_name": "Gomez",
+      "organization": "University of Toronto"
+    },
+    {
+      "rank": 7,
+      "first_name": "Łukasz",
+      "last_name": "Kaiser",
+      "organization": "Google Brain"
+    },
+    {
+      "rank": 8,
+      "first_name": "Illia",
+      "last_name": "Polosukhin",
+      "organization": "Google Research"
+    }
+  ]
+}

data/en_5/2005.14165v4.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97fd272f1fdfc18677462d0292f5fbf26ca86b4d1b485c2dba03269b643a0e83
+size 6768044

data/en_5/authors.json

@@ -0,0 +1,115 @@
+{
+  "metadata": {
+    "equal_contribution_detected": true,
+    "extracted_emails": []
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Tom",
+      "last_name": "Brown",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 2,
+      "first_name": "Benjamin",
+      "last_name": "Mann",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 3,
+      "first_name": "Nick",
+      "last_name": "Ryder",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 4,
+      "first_name": "Melanie",
+      "last_name": "Subbiah",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 5,
+      "first_name": "Jared",
+      "last_name": "Kaplan",
+      "organization": "Johns Hopkins University; OpenAI"
+    },
+    {
+      "rank": 6,
+      "first_name": "Prafulla",
+      "last_name": "Dhariwal",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 7,
+      "first_name": "Arvind",
+      "last_name": "Neelakantan",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 8,
+      "first_name": "Pranav",
+      "last_name": "Shyam",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 9,
+      "first_name": "Girish",
+      "last_name": "Sastry",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 10,
+      "first_name": "Amanda",
+      "last_name": "Askell",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 11,
+      "first_name": "Sandhini",
+      "last_name": "Agarwal",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 12,
+      "first_name": "Ariel",
+      "last_name": "Herbert-Voss",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 13,
+      "first_name": "Gretchen",
+      "last_name": "Krueger",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 14,
+      "first_name": "Tom",
+      "last_name": "Henighan",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 15,
+      "first_name": "Rewon",
+      "last_name": "Child",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 16,
+      "first_name": "Aditya",
+      "last_name": "Ramesh",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 17,
+      "first_name": "Daniel",
+      "last_name": "Ziegler",
+      "organization": "OpenAI"
+    },
+    {
+      "rank": 18,
+      "first_name": "Jeffrey",
+      "last_name": "Wu",
+      "organization": "OpenAI"
+    },
+    {

data/en_6/2201.11903v6.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d9f878c23b460e4566aa4ec9201b1abfb3b8faefb2b1356e411cb90fef72a12
+size 891773

data/en_6/authors.json

@@ -0,0 +1,65 @@
+{
+  "metadata": {
+    "equal_contribution_detected": false,
+    "extracted_emails": [
+      "jasonwei@google.com",
+      "dennyzhou@google.com"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Jason",
+      "last_name": "Wei",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 2,
+      "first_name": "Xuezhi",
+      "last_name": "Wang",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 3,
+      "first_name": "Dale",
+      "last_name": "Schuurmans",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 4,
+      "first_name": "Maarten",
+      "last_name": "Bosma",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 5,
+      "first_name": "Brian",
+      "last_name": "Ichter",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 6,
+      "first_name": "Fei",
+      "last_name": "Xia",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 7,
+      "first_name": "Ed",
+      "last_name": "Chi",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 8,
+      "first_name": "Quoc",
+      "last_name": "Le",
+      "organization": "Google Research, Brain Team"
+    },
+    {
+      "rank": 9,
+      "first_name": "Denny",
+      "last_name": "Zhou",
+      "organization": "Google Research, Brain Team"
+    }
+  ]
+}

data/en_7/2302.13971v1.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e663675ae36ad12adb2f5a05281bac2747ecf8d23d92bedd9f937a89fee7136
+size 726566

data/en_7/authors.json

@@ -0,0 +1,98 @@
+{
+  "metadata": {
+    "equal_contribution_detected": true,
+    "extracted_emails": [
+      "htouvron@meta.com",
+      "thibautlav@meta.com",
+      "gizacard@meta.com",
+      "egrave@meta.com",
+      "glample@meta.com"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Hugo",
+      "last_name": "Touvron",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 2,
+      "first_name": "Thibaut",
+      "last_name": "Lavril",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 3,
+      "first_name": "Gautier",
+      "last_name": "Izacard",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 4,
+      "first_name": "Xavier",
+      "last_name": "Martinet",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 5,
+      "first_name": "Marie-Anne",
+      "last_name": "Lachaux",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 6,
+      "first_name": "Timothee",
+      "last_name": "Lacroix",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 7,
+      "first_name": "Baptiste",
+      "last_name": "Rozière",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 8,
+      "first_name": "Naman",
+      "last_name": "Goyal",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 9,
+      "first_name": "Eric",
+      "last_name": "Hambro",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 10,
+      "first_name": "Faisal",
+      "last_name": "Azhar",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 11,
+      "first_name": "Aurelien",
+      "last_name": "Rodriguez",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 12,
+      "first_name": "Armand",
+      "last_name": "Joulin",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 13,
+      "first_name": "Edouard",
+      "last_name": "Grave",
+      "organization": "Meta AI"
+    },
+    {
+      "rank": 14,
+      "first_name": "Guillaume",
+      "last_name": "Lample",
+      "organization": "Meta AI"
+    }
+  ]
+}

data/en_8/NeurIPS-2024-improving-deep-reinforcement-learning-by-reducing-the-chain-effect-of-value-and-policy-churn-Paper-Conference.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1272a4cf03132e9b65e44a6a7fbf7b6a921900f38b63797c7aa2872d29dc05e
+size 1764378

data/en_8/authors.json

@@ -0,0 +1,23 @@
+{
+  "metadata": {
+    "equal_contribution_detected": false,
+    "extracted_emails": [
+      "tang.hongyao@mila.quebec",
+      "glen.berseth@mila.quebec"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Hongyao",
+      "last_name": "Tang",
+      "organization": "Mila - Québec AI Institute; Université de Montréal"
+    },
+    {
+      "rank": 2,
+      "first_name": "Glen",
+      "last_name": "Berseth",
+      "organization": "Mila - Québec AI Institute; Université de Montréal"
+    }
+  ]
+}

data/en_9/NeurIPS-2024-remap-neural-model-reprogramming-with-network-inversion-and-retrieval-augmented-mapping-for-adaptive-motion-forecasting-Paper-Conference.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2eb46d2df7ec9846116e0ffa9236b4f9ce9b1193aa351779ce1cd5081118bf3d
+size 4753041

data/en_9/authors.json

@@ -0,0 +1,23 @@
+{
+  "metadata": {
+    "equal_contribution_detected": true,
+    "extracted_emails": [
+      "sharmita.dey@med.uni-goettingen.de",
+      "s.ravindrannair@eni-g.de"
+    ]
+  },
+  "authors": [
+    {
+      "rank": 1,
+      "first_name": "Sharmita",
+      "last_name": "Dey",
+      "organization": "University Medical Center Göttingen; Georg-August University of Göttingen"
+    },
+    {
+      "rank": 2,
+      "first_name": "Sarath",
+      "last_name": "Nair",
+      "organization": "Georg-August University of Göttingen"
+    }
+  ]
+}