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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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2001.04753/record.json
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2006.03465/record.json
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2006.04166/record.json
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2007.02863/record.json
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2104.00678/record.json
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2104.08225/record.json
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{
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"arxiv_id": "2104.08225",
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"conference": "NAACL",
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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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| 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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2105.14573/record.json
ADDED
|
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|
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|
|
|
|
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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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"title": "Embedding Principle of Loss Landscape of Deep Neural Networks",
|
| 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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| 30 |
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| 31 |
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| 32 |
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2106.03921/record.json
ADDED
|
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2106.03921",
|
| 3 |
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"month": "2021_06",
|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Measuring and Improving BERT’s Mathematical Abilities by Predicting the Order of Reasoning.",
|
| 7 |
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|
| 8 |
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"source": {
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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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2106.05303/record.json
ADDED
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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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2106.05665/record.json
ADDED
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@@ -0,0 +1,32 @@
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|
| 1 |
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{
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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": "Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception",
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| 7 |
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| 8 |
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| 10 |
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2107.08829/record.json
ADDED
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|
| 1 |
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{
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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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2108.08421/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2108.08421",
|
| 3 |
+
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|
| 4 |
+
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|
| 5 |
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|
| 6 |
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"title": "Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes",
|
| 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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|
| 30 |
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| 31 |
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|
| 32 |
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2109.13016/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2109.13016",
|
| 3 |
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"month": "2021_09",
|
| 4 |
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"year": 2020,
|
| 5 |
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"conference": "IJCAI",
|
| 6 |
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"title": "Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2109.13016",
|
| 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/2109.13016",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/tex_files_extracted/2109.13016",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_09/main_diagram_database/2109.13016/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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| 25 |
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| 30 |
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| 31 |
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| 32 |
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2109.13432/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2109.13432",
|
| 3 |
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"month": "2021_09",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "ICCV",
|
| 6 |
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"title": "Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency",
|
| 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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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2110.05892/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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2110.08851/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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| 17 |
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| 18 |
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2110.11945/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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| 12 |
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|
| 32 |
+
}
|
2110.14633/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2110.14633",
|
| 3 |
+
"month": "2021_10",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "On the Functional Similarity of Robust and Non-Robust Neural Representations",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2110.14633",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.14633",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/tex_files_extracted/2110.14633",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.14633/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_10/main_diagram_database/2110.14633/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/2110.14633/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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|
2111.04239/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.04239",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACMMM",
|
| 6 |
+
"title": "Correct Twice at Once: Learning to Correct Noisy Labels for Robust Deep Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.04239",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04239",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.04239",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04239/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.04239/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/2111.04239/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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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2111.09858/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.09858",
|
| 3 |
+
"month": "2021_11",
|
| 4 |
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"year": 2021,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
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"title": "Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2111.09858",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09858",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.09858",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.09858/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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|
| 30 |
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|
| 31 |
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|
| 32 |
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2111.12082/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2111.12082",
|
| 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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"title": "PhysFormer: Facial Video-Based Physiological Measurement With Temporal Difference Transformer",
|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/main_diagram_database/2111.12082",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_11/tex_files_extracted/2111.12082",
|
| 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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| 25 |
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| 30 |
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| 31 |
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| 32 |
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2111.15362/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2111.15362",
|
| 3 |
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"month": "2021_11",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
"source": {
|
| 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_11/main_diagram_database/2111.15362/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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|
2112.06170/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2112.06170",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2020,
|
| 5 |
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"conference": "CVPR",
|
| 6 |
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"title": "Deep Shutter Unrolling Network",
|
| 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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|
| 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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|
2112.08544/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": "2112.08544",
|
| 3 |
+
"month": "2021_12",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2112.08544",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08544",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/tex_files_extracted/2112.08544",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08544/paper_text/paper.md",
|
| 12 |
+
"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08544/metadata.json",
|
| 13 |
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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2021_12/main_diagram_database/2112.08544/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/2112.08544/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2112.08544/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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|
2201.12990/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2201.12990",
|
| 3 |
+
"month": "2022_01",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ICML",
|
| 6 |
+
"title": "Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent",
|
| 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/2201.12990",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/tex_files_extracted/2201.12990",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12990/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_01/main_diagram_database/2201.12990/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/2201.12990/main_diagram/main_diagram.drawio",
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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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2203.08788/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2203.08788",
|
| 3 |
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"month": "2022_03",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ACL",
|
| 6 |
+
"title": "Are Shortest Rationales the Best Explanations for Human Understanding?",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2203.08788",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.08788",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/tex_files_extracted/2203.08788",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_03/main_diagram_database/2203.08788/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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| 23 |
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| 30 |
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| 31 |
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| 32 |
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2204.03688/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2204.03688",
|
| 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/2022_04/tex_files_extracted/2204.03688",
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| 11 |
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| 12 |
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|
| 15 |
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| 18 |
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2204.12516/record.json
ADDED
|
@@ -0,0 +1,32 @@
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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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| 14 |
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|
| 15 |
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| 31 |
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2205.11028/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2205.11028",
|
| 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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| 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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|
| 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/2205.11028/latex_source"
|
| 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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|
2205.13662/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": "2205.13662",
|
| 3 |
+
"month": "2022_05",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Explaining Preferences with Shapley Values",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2205.13662",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.13662",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/tex_files_extracted/2205.13662",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.13662/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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| 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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2205.14794/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": "2205.14794",
|
| 3 |
+
"month": "2022_05",
|
| 4 |
+
"year": 2022,
|
| 5 |
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"conference": "NEURIPS",
|
| 6 |
+
"title": "Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2205.14794",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.14794",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/tex_files_extracted/2205.14794",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_05/main_diagram_database/2205.14794/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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| 30 |
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| 31 |
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| 32 |
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2205.14962/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2205.14962",
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"title": "Sampling-free Inference for Ab-Initio Potential Energy Surface Networks",
|
| 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/2022_05/tex_files_extracted/2205.14962",
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| 11 |
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| 12 |
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|
| 15 |
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| 16 |
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| 18 |
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| 30 |
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| 31 |
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| 32 |
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2205.15544/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
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|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2205.15544",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model",
|
| 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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2207.10667/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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| 30 |
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| 31 |
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|
| 32 |
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2207.11201/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2207.11201",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "Target-Driven Structured Transformer Planner for Vision-Language Navigation",
|
| 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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"intro_method_from": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.11201/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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|
| 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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|
2207.12389/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": "2207.12389",
|
| 3 |
+
"month": "2022_07",
|
| 4 |
+
"year": 2022,
|
| 5 |
+
"conference": "ECCV",
|
| 6 |
+
"title": "MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2207.12389",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.12389",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/tex_files_extracted/2207.12389",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.12389/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_07/main_diagram_database/2207.12389/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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| 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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2208.01838/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2208.01838",
|
| 3 |
+
"month": "2022_08",
|
| 4 |
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"year": 2023,
|
| 5 |
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|
| 6 |
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"title": "Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization",
|
| 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_08/main_diagram_database/2208.01838",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/tex_files_extracted/2208.01838",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/main_diagram_database/2208.01838/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_08/main_diagram_database/2208.01838/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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| 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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2208.09170/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
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{
|
| 2 |
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"arxiv_id": "2208.09170",
|
| 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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| 30 |
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| 31 |
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| 32 |
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2208.10024/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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"title": "GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization",
|
| 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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| 23 |
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| 30 |
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2209.01814/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"arxiv_id": "2209.01814",
|
| 3 |
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|
| 4 |
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"year": 2022,
|
| 5 |
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|
| 6 |
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"title": "RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection",
|
| 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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2210.14128/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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| 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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2210.16613/record.json
ADDED
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2210.16613",
|
| 3 |
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"month": "2022_10",
|
| 4 |
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"year": 2022,
|
| 5 |
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"conference": "EMNLP",
|
| 6 |
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"title": "Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers",
|
| 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/2022_10/tex_files_extracted/2210.16613",
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| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_10/main_diagram_database/2210.16613/paper_text/paper.md",
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| 12 |
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| 14 |
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| 15 |
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| 30 |
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| 31 |
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2211.02527/record.json
ADDED
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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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2211.12254/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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2211.17226/record.json
ADDED
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|
| 1 |
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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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2212.01448/record.json
ADDED
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|
| 1 |
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|
| 6 |
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| 7 |
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| 8 |
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| 10 |
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2212.03131/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2212.03131",
|
| 3 |
+
"month": "2022_12",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "ICLR",
|
| 6 |
+
"title": "Explainability as statistical inference",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2212.03131",
|
| 8 |
+
"source": {
|
| 9 |
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"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.03131",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/tex_files_extracted/2212.03131",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.03131/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2022_12/main_diagram_database/2212.03131/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/2212.03131/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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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2212.03131/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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|
2301.04230/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2301.04230",
|
| 3 |
+
"month": "2023_01",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "EMNLP",
|
| 6 |
+
"title": "Security Challenges in Natural Language Processing Models",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2301.04230",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.04230",
|
| 10 |
+
"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/tex_files_extracted/2301.04230",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.04230/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_01/main_diagram_database/2301.04230/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/2301.04230/main_diagram/main_diagram.drawio",
|
| 18 |
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"main_png": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2301.04230/main_diagram/main_diagram.png",
|
| 19 |
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"main_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2301.04230/main_diagram/main_diagram.pdf",
|
| 20 |
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"intro_method_md": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2301.04230/paper_text/intro_method.md",
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| 21 |
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"paper_pdf": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2301.04230/paper.pdf",
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| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2301.04230/latex_source"
|
| 23 |
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|
| 24 |
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"status": {
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| 25 |
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"copy_drawio": "exists",
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| 26 |
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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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|
2302.00695/record.json
ADDED
|
@@ -0,0 +1,32 @@
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"arxiv_id": "2302.00695",
|
| 3 |
+
"month": "2023_02",
|
| 4 |
+
"year": 2023,
|
| 5 |
+
"conference": "NEURIPS",
|
| 6 |
+
"title": "Versatile Energy-Based Probabilistic Models for High Energy Physics",
|
| 7 |
+
"arxiv_url": "https://arxiv.org/abs/2302.00695",
|
| 8 |
+
"source": {
|
| 9 |
+
"paper_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_02/main_diagram_database/2302.00695",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_02/tex_files_extracted/2302.00695",
|
| 11 |
+
"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_02/main_diagram_database/2302.00695/paper_text/paper.md",
|
| 12 |
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"metadata_json": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_02/main_diagram_database/2302.00695/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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"files": {
|
| 17 |
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"main_drawio": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2302.00695/main_diagram/main_diagram.drawio",
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| 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/2302.00695/paper.pdf",
|
| 22 |
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"latex": "/home/zling/lzl/ICML2026/Build_Dataset/dataset/2302.00695/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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| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
2302.05527/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 |
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"arxiv_id": "2302.05527",
|
| 3 |
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|
| 4 |
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"year": 2023,
|
| 5 |
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"conference": "EMNLP",
|
| 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/2023_02/main_diagram_database/2302.05527",
|
| 10 |
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"tex_dir": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_02/tex_files_extracted/2302.05527",
|
| 11 |
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"paper_md": "/home/zling/lzl/ICML2026/Build_Dataset/data/2023_02/main_diagram_database/2302.05527/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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| 30 |
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|
| 31 |
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|
| 32 |
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