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Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
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2003.12039/record.json
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2003.12753/record.json
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2003.13085/record.json
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| 5 |
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2004.04312/record.json
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2004.12935/record.json
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2005.09812/record.json
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{
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|
| 6 |
+
"title": "Active Speakers in Context",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.09812",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/tex_files_extracted/2005.09812",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.09812/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.09812/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_05/main_diagram_database/2005.09812/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2005.09812/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2006.02425/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2006.02425",
|
| 3 |
+
"month": "2020_06",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Equivariant Flows: exact likelihood generative learning for symmetric densities.",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2006.02425",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.02425",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/tex_files_extracted/2006.02425",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.02425/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.02425/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_06/main_diagram_database/2006.02425/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.02425/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.02425/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.02425/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.02425/paper_text/intro_method.md",
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| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2006.02425/latex_source"
|
| 23 |
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|
| 24 |
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|
| 25 |
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"copy_drawio": "exists",
|
| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2010.13685/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.13685",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Forethought and Hindsight in Credit Assignment",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.13685",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13685",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.13685",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13685/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13685/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.13685/paper_text/paper.md",
|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13685/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13685/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.13685/main_diagram/main_diagram.pdf",
|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2011.02048/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2011.02048",
|
| 3 |
+
"month": "2020_11",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "SimulSpeech: End-to-End Simultaneous Speech to Text Translation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2011.02048",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.02048",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.02048",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.02048/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.02048/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2011.02426/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2011.02426",
|
| 3 |
+
"month": "2020_11",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
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"title": "GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2011.02426",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.02426",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.02426",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.02426/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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},
|
| 16 |
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"files": {
|
| 17 |
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|
| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
2012.15115/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
"month": "2020_12",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Joint Verification and Reranking for Open Fact Checking Over Tables",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2012.15115",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.15115",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/tex_files_extracted/2012.15115",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.15115/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2102.04362/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.04362/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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|
| 30 |
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| 31 |
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|
| 32 |
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2102.08201/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2102.08201",
|
| 3 |
+
"month": "2021_02",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators",
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.08201",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/tex_files_extracted/2102.08201",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.08201/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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|
| 30 |
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| 31 |
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|
| 32 |
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2103.03027/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2103.03027",
|
| 3 |
+
"month": "2021_03",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "CVPR",
|
| 6 |
+
"title": "Modeling Multi-Label Action Dependencies for Temporal Action Localization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2103.03027",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.03027",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/tex_files_extracted/2103.03027",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_03/main_diagram_database/2103.03027/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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| 31 |
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|
| 32 |
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2103.17229/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 30 |
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| 31 |
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| 32 |
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2104.02409/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.02409",
|
| 3 |
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"month": "2021_04",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "ICCV",
|
| 6 |
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"title": "Learning To Estimate Hidden Motions With Global Motion Aggregation",
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.02409",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.02409",
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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2104.05591/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.05591",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "DATE: Detecting Anomalies in Text via Self-Supervision of Transformers",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 30 |
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| 31 |
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| 32 |
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2104.08793/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.08793",
|
| 3 |
+
"month": "2021_04",
|
| 4 |
+
"year": 2021,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
+
"title": "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning",
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.08793",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.08793/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 26 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2104.09667/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.09667",
|
| 3 |
+
"month": "2021_04",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Manipulating SGD with Data Ordering Attacks",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2104.09667",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09667",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.09667",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09667/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.09667/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09667/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.09667/main_diagram/main_diagram.png",
|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2104.12280/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.12280",
|
| 3 |
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"month": "2021_04",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "ACMMM",
|
| 6 |
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"title": "LVI-ExC: A Target-free LiDAR-Visual-Inertial Extrinsic Calibration Framework",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.12280",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.12280",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.12280/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2104.12280/main_diagram/main_diagram.drawio",
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| 18 |
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| 19 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2106.07175/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2106.07175",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "Learning to Combine Per-Example Solutions for Neural Program Synthesis",
|
| 7 |
+
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.07175",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.07175",
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 30 |
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| 31 |
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|
| 32 |
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2107.08929/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2107.08929",
|
| 3 |
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"month": "2021_07",
|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.08929",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/tex_files_extracted/2107.08929",
|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 23 |
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| 24 |
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| 30 |
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| 31 |
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|
| 32 |
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2108.05997/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.05997",
|
| 3 |
+
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|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.05997",
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| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2109.04683/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2109.04683",
|
| 3 |
+
"month": "2021_09",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
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|
| 6 |
+
"title": "PIP: Physical Interaction Prediction via Mental Simulation with Span Selection",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2109.04683",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04683",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.04683",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04683/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04683/metadata.json",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2109.14710/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2109.14710",
|
| 3 |
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"month": "2021_09",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2109.14710",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.14710",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.14710",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.14710/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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| 31 |
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| 32 |
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2110.03618/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.03618",
|
| 3 |
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"month": "2021_10",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.03618",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.03618",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.03618",
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| 11 |
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| 12 |
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| 14 |
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| 15 |
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| 18 |
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| 30 |
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2110.03888/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2110.03888",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 15 |
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| 18 |
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2110.08207/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 15 |
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| 17 |
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2110.08387/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2110.08387",
|
| 3 |
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"month": "2021_10",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Generated Knowledge Prompting for Commonsense Reasoning",
|
| 7 |
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"arxiv_url": "https://arxiv.org/abs/2110.08387",
|
| 8 |
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|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.08387",
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| 11 |
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| 12 |
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|
| 15 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
2110.08421/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.08421",
|
| 3 |
+
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|
| 4 |
+
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|
| 5 |
+
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08421",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.08421",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08421/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.08421/metadata.json",
|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2110.10668/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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"month": "2021_10",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.10668",
|
| 8 |
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"source": {
|
| 9 |
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|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.10668",
|
| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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| 31 |
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| 32 |
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2111.14447/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2111.14447",
|
| 3 |
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"month": "2021_11",
|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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2111.14792/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Classification-Regression for Chart Comprehension",
|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 15 |
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2112.01983/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 10 |
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| 15 |
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2112.02889/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.02889/paper_text/paper.md",
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.02889/latex_source"
|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2112.04386/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
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|
|
|
|
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|
|
|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.04386",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "Which Images To Label for Few-Shot Medical Landmark Detection?",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.04386",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.04386",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.04386",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.04386/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.04386/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.04386/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.04386/main_diagram/main_diagram.png",
|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2112.08078/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.08078",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "A spatiotemporal graph neural network with multi granularity for air quality prediction",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.08078",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08078",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.08078",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08078/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08078/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 30 |
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| 31 |
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|
| 32 |
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2201.08265/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2201.08265",
|
| 3 |
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"month": "2022_01",
|
| 4 |
+
"year": 2022,
|
| 5 |
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"conference": "AAAI",
|
| 6 |
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"title": "Cross-Domain Few-Shot Graph Classification",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.08265",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.08265",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.08265/paper_text/paper.md",
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 30 |
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| 31 |
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|
| 32 |
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2202.12481/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2202.12481",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "AAAI",
|
| 6 |
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"title": "Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.12481",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/tex_files_extracted/2202.12481",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_02/main_diagram_database/2202.12481/paper_text/paper.md",
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| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 23 |
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2203.01597/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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| 10 |
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|
| 15 |
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| 30 |
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| 31 |
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2203.02574/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2203.02574",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.02574",
|
| 10 |
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|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.02574/paper_text/paper.md",
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.02574/latex_source"
|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2203.06063/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
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|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.06063",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2203.06063",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06063",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.06063",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06063/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06063/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06063/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06063/main_diagram/main_diagram.png",
|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2203.06419/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.06419",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2203.06419",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06419",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.06419",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06419/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.06419/metadata.json",
|
| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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|
| 16 |
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|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.06419/main_diagram/main_diagram.drawio",
|
| 18 |
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| 19 |
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| 20 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2203.10321/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.10321",
|
| 3 |
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"month": "2022_03",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "ACL",
|
| 6 |
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"title": "Sequence-to-Sequence Knowledge Graph Completion and Question Answering",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.10321",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.10321",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.10321/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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"intro_method_from_kind": "markdown"
|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 23 |
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| 30 |
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|
| 31 |
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|
| 32 |
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2203.10761/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2203.10761",
|
| 3 |
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"month": "2022_03",
|
| 4 |
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"year": 2023,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
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"title": "Harnessing Hard Mixed Samples with Decoupled Regularizer",
|
| 7 |
+
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|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.10761",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.10761",
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| 11 |
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|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 30 |
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| 31 |
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2203.12997/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.12997",
|
| 3 |
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"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
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"conference": "CVPR",
|
| 6 |
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"title": "Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.12997",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.12997",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.12997/paper_text/paper.md",
|
| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 23 |
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| 24 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2203.14250/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.14250",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
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"conference": "ECCV",
|
| 6 |
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"title": "End-to-End Active Speaker Detection",
|
| 7 |
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|
| 8 |
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"source": {
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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|
| 30 |
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| 31 |
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|
| 32 |
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2203.14675/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.14675",
|
| 3 |
+
"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "AAAI",
|
| 6 |
+
"title": "SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2203.14675",
|
| 8 |
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"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.14675",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.14675",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.14675/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.14675/metadata.json",
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| 13 |
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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2203.14675/main_diagram/main_diagram.png",
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 26 |
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| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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2203.16910/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.16910",
|
| 3 |
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"month": "2022_03",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "CVPR",
|
| 6 |
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"title": "End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps",
|
| 7 |
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.16910",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.16910",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.16910/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.16910/metadata.json",
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 30 |
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| 31 |
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| 32 |
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2204.01188/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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