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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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2003.12169/record.json
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2007.15131/record.json
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2008.01700/record.json
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2008.04115/record.json
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| 6 |
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"title": "T-GD: Transferable GAN-generated Images Detection Framework",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2008.04115",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.04115",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/tex_files_extracted/2008.04115",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.04115/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.04115/metadata.json",
|
| 13 |
+
"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_08/main_diagram_database/2008.04115/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/2008.04115/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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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.04115/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2008.04115/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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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2010.02983/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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2010.02983",
|
| 3 |
+
"month": "2020_10",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Plug and Play Autoencoders for Conditional Text Generation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2010.02983",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02983",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/tex_files_extracted/2010.02983",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02983/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02983/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_10/main_diagram_database/2010.02983/paper_text/paper.md",
|
| 14 |
+
"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/2010.02983/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02983/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02983/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02983/paper_text/intro_method.md",
|
| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02983/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2010.02983/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
|
| 25 |
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"copy_drawio": "exists",
|
| 26 |
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"copy_png": "exists",
|
| 27 |
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|
| 28 |
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|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
+
"latex": "exists"
|
| 31 |
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|
| 32 |
+
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|
2011.13607/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": "2011.13607",
|
| 3 |
+
"month": "2020_11",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2011.13607",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.13607",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/tex_files_extracted/2011.13607",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.13607/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.13607/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_11/main_diagram_database/2011.13607/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/2011.13607/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.13607/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.13607/main_diagram/main_diagram.pdf",
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| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2011.13607/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/2011.13607/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
|
| 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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|
2012.00726/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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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2012.00726",
|
| 3 |
+
"month": "2020_12",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "CVPR",
|
| 6 |
+
"title": "RAFT-3D: Scene Flow Using Rigid-Motion Embeddings",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2012.00726",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.00726",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/tex_files_extracted/2012.00726",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.00726/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.00726/metadata.json",
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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/2012.00726/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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| 24 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2012.05119/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": "2012.05119",
|
| 3 |
+
"month": "2020_12",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "Human Detection and Segmentation via Multi-View Consensus",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2012.05119",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05119",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/tex_files_extracted/2012.05119",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2020_12/main_diagram_database/2012.05119/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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2102.10774/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": "2102.10774",
|
| 3 |
+
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "Provably Improved Context-Based Offline Meta-RL with Attention and Contrastive Learning",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.10774",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/tex_files_extracted/2102.10774",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_02/main_diagram_database/2102.10774/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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| 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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|
2104.00479/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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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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|
| 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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| 31 |
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| 32 |
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2104.00563/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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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.00563",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
+
"title": "Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction",
|
| 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_04/main_diagram_database/2104.00563",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.00563",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.00563/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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2104.05062/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2104.05062",
|
| 3 |
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"month": "2021_04",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "EMNLP",
|
| 6 |
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"title": "Achieving Model Robustness through Discrete Adversarial Training",
|
| 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_04/main_diagram_database/2104.05062",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/tex_files_extracted/2104.05062",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_04/main_diagram_database/2104.05062/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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| 30 |
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| 31 |
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| 32 |
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2104.07660/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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| 14 |
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| 15 |
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| 18 |
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| 30 |
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| 31 |
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2104.09576/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2104.09576",
|
| 3 |
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|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
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"title": "LATEX-Numeric: Language Agnostic Text Attribute Extraction for Numeric Attributes",
|
| 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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| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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2105.00020/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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| 14 |
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|
| 15 |
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| 30 |
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| 31 |
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|
| 32 |
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2105.04133/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": "2105.04133",
|
| 3 |
+
"month": "2021_05",
|
| 4 |
+
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|
| 5 |
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|
| 6 |
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"title": "Coupling Intent and Action for Pedestrian Crossing Behavior Prediction",
|
| 7 |
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"arxiv_url": "https://arxiv.org/abs/2105.04133",
|
| 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_05/tex_files_extracted/2105.04133",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.04133/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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|
| 30 |
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| 31 |
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|
| 32 |
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2105.13648/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": "2105.13648",
|
| 3 |
+
"month": "2021_05",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Cross-Lingual Abstractive Summarization with Limited Parallel Resources",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2105.13648",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.13648",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/tex_files_extracted/2105.13648",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.13648/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_05/main_diagram_database/2105.13648/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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2106.02104/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2106.02104",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Semi-Empirical Objective Functions for Neural MCMC Proposal Optimization",
|
| 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_06/main_diagram_database/2106.02104",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.02104",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.02104/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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| 18 |
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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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2106.02875/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2106.02875",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression",
|
| 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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| 30 |
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| 31 |
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| 32 |
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2106.04185/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2106.04185",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization",
|
| 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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| 30 |
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|
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2106.06799/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2106.06799",
|
| 3 |
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"month": "2021_06",
|
| 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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| 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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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2106.07153/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": "2106.07153",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.07153",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.07153",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.07153",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.07153/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.07153/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/2106.07153/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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|
2106.08382/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.08382",
|
| 3 |
+
"month": "2021_06",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "DMSANET: DUAL MULTI SCALE ATTENTION NETWORK",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.08382",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.08382",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.08382/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.08382/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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2106.09608/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.09608",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
+
"title": "Learning Knowledge Graph-based World Models of Textual Environments",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2106.09608",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09608",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/tex_files_extracted/2106.09608",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_06/main_diagram_database/2106.09608/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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| 30 |
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| 31 |
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| 32 |
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2106.11420/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2106.11420",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "Policy Smoothing for Provably Robust Reinforcement Learning",
|
| 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_06/tex_files_extracted/2106.11420",
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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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| 23 |
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2106.13882/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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| 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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2106.15788/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.15788",
|
| 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": "Contrastive Attention Maps for Self-Supervised Co-Localization",
|
| 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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| 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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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2107.00189/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": "2107.00189",
|
| 3 |
+
"month": "2021_07",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2107.00189",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.00189",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/tex_files_extracted/2107.00189",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.00189/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.00189/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.00189/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/2107.00189/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.00189/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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|
2107.07322/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2107.07322",
|
| 3 |
+
"month": "2021_07",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "A unified framework for bandit multiple testing",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2107.07322",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.07322",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/tex_files_extracted/2107.07322",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.07322/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.07322/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_07/main_diagram_database/2107.07322/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/2107.07322/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2107.07322/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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|
| 31 |
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|
| 32 |
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|
2108.07628/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.07628",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "ICCV",
|
| 6 |
+
"title": "Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2108.07628",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.07628",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.07628",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.07628/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.07628/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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| 30 |
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|
| 31 |
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|
| 32 |
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2108.08791/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2108.08791",
|
| 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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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.08791",
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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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| 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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2108.09376/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.09376",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
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"year": 2021,
|
| 5 |
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|
| 6 |
+
"title": "BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies",
|
| 7 |
+
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|
| 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_08/tex_files_extracted/2108.09376",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.09376/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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| 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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|
2108.12899/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.12899",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Fine-grained Entity Typing without Knowledge Base",
|
| 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/2108.12899",
|
| 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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2108.13679/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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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.13679",
|
| 3 |
+
"month": "2021_08",
|
| 4 |
+
"year": 2020,
|
| 5 |
+
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13679",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/tex_files_extracted/2108.13679",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13679/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_08/main_diagram_database/2108.13679/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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| 25 |
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| 26 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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2109.04098/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": "2109.04098",
|
| 3 |
+
"month": "2021_09",
|
| 4 |
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|
| 5 |
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"conference": "EMNLP",
|
| 6 |
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"title": "ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2109.04098",
|
| 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/2109.04098",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.04098",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.04098/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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| 30 |
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| 31 |
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| 32 |
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2109.04775/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": "A Strong Baseline for Query Efficient Attacks in a Black Box Setting",
|
| 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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| 31 |
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2109.06050/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": "Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training",
|
| 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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2109.08125/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
+
"arxiv_id": "2109.08125",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "NORESQA: A Framework for Speech Quality Assessment using Non-Matching References",
|
| 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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| 23 |
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| 30 |
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| 31 |
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|
| 32 |
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2109.09904/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2109.09904",
|
| 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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| 13 |
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| 14 |
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| 15 |
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| 22 |
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2109.14133/record.json
ADDED
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|
|
|
|
|
| 1 |
+
{
|
| 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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2109.14834/record.json
ADDED
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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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| 12 |
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2110.03051/record.json
ADDED
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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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| 12 |
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2110.08321/record.json
ADDED
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@@ -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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2110.09167/record.json
ADDED
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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|
| 6 |
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| 7 |
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| 8 |
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| 10 |
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2110.10472/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.10472",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Multilingual Unsupervised Neural Machine Translation with Denoising Adapters",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.10472",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.10472",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.10472",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.10472/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.10472/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/2110.10472/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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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.10472/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.10472/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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|
2110.11236/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.11236",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Variational Predictive Routing with Nested Subjective Timescales",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.11236",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11236",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.11236",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11236/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11236/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.11236/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/2110.11236/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11236/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11236/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.11236/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/2110.11236/latex_source"
|
| 23 |
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| 24 |
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"status": {
|
| 25 |
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"copy_drawio": "exists",
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| 26 |
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"copy_png": "exists",
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| 27 |
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"diagram_pdf": "pdf_exists",
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| 28 |
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|
| 29 |
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"paper_pdf": "exists",
|
| 30 |
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"latex": "exists"
|
| 31 |
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|
| 32 |
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|
2110.15703/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.15703",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2021,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.15703",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.15703",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.15703",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.15703/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.15703/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/2110.15703/main_diagram/main_diagram.drawio",
|
| 18 |
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|
| 19 |
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|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.15703/paper_text/intro_method.md",
|
| 21 |
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|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2110.15703/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2111.10102/record.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.10102",
|
| 3 |
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|
| 4 |
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|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
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"title": "Random Walk Graph Neural Networks",
|
| 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_11/main_diagram_database/2111.10102",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.10102",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.10102/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.10102/metadata.json",
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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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| 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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