| ChartPaLI-5B + PaLM 2-S |
- 1:1 Accuracy
- 81.3
|
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs 2024-03-19 |
연결 없음 |
| Gemini Ultra |
- 1:1 Accuracy
- 80.8
|
Gemini: A Family of Highly Capable Multimodal Models 2023-12-19 |
코드 1 |
| DePlot+FlanPaLM+Codex (PoT Self-Consistency) |
- 1:1 Accuracy
- 79.3
|
DePlot: One-shot visual language reasoning by plot-to-table translation 2022-12-20 |
코드 1 |
| ChartPaLI-5B |
- 1:1 Accuracy
- 77.3
|
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs 2024-03-19 |
연결 없음 |
| DePlot+Codex (PoT Self-Consistency) |
- 1:1 Accuracy
- 76.7
|
DePlot: One-shot visual language reasoning by plot-to-table translation 2022-12-20 |
코드 1 |
| ScreenAI 5B (4.62 B params, w/ OCR) |
- 1:1 Accuracy
- 76.7
|
ScreenAI: A Vision-Language Model for UI and Infographics Understanding 2024-02-07 |
코드 1 · 코드 2 |
| SMoLA-PaLI-X Specialist Model |
- 1:1 Accuracy
- 74.6
|
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts 2023-12-01 |
연결 없음 |
| SMoLA-PaLI-X Generalist Model |
- 1:1 Accuracy
- 73.8
|
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts 2023-12-01 |
연결 없음 |
| MatCha4096 + LaMenDa |
- 1:1 Accuracy
- 72.64
|
Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA 2024-01-01 |
연결 없음 |
| PaLI-X (Single-task FT w/ OCR) |
- 1:1 Accuracy
- 72.3
|
PaLI-X: On Scaling up a Multilingual Vision and Language Model 2023-05-29 |
코드 1 · 코드 2 |
| PaLI-X (Single-task FT) |
- 1:1 Accuracy
- 70.9
|
PaLI-X: On Scaling up a Multilingual Vision and Language Model 2023-05-29 |
코드 1 · 코드 2 |
| PaLI-X (Multi-task FT) |
- 1:1 Accuracy
- 70.6
|
PaLI-X: On Scaling up a Multilingual Vision and Language Model 2023-05-29 |
코드 1 · 코드 2 |
| DePlot+FlanPaLM (Self-Consistency) |
- 1:1 Accuracy
- 70.5
|
DePlot: One-shot visual language reasoning by plot-to-table translation 2022-12-20 |
코드 1 |
| PaLI-3 |
- 1:1 Accuracy
- 70
|
PaLI-3 Vision Language Models: Smaller, Faster, Stronger 2023-10-13 |
코드 1 |
| PaLI-3 (w/ OCR) |
- 1:1 Accuracy
- 69.5
|
PaLI-3 Vision Language Models: Smaller, Faster, Stronger 2023-10-13 |
코드 1 |
| DePlot+FlanPaLM (CoT) |
- 1:1 Accuracy
- 67.3
|
DePlot: One-shot visual language reasoning by plot-to-table translation 2022-12-20 |
코드 1 |
| Qwen-VL-Chat |
- 1:1 Accuracy
- 66.3
|
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond 2023-08-24 |
코드 1 · 코드 2 |
| UniChart |
- 1:1 Accuracy
- 66.24
|
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning 2023-05-24 |
코드 1 |
| Qwen-VL |
- 1:1 Accuracy
- 65.7
|
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond 2023-08-24 |
코드 1 · 코드 2 |
| StructChart+GPT3.5 (STR ChartQA+SimChart9K) |
- 1:1 Accuracy
- 65.3
|
StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding 2023-09-20 |
코드 1 · 코드 2 · 코드 3 |
| MatCha |
- 1:1 Accuracy
- 64.2
|
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering 2022-12-19 |
코드 1 |
| StructChart+GPT3.5 (STR) |
- 1:1 Accuracy
- 60.7
|
StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding 2023-09-20 |
코드 1 · 코드 2 · 코드 3 |
| Pix2Struct-large |
- 1:1 Accuracy
- 58.6
|
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding 2022-10-07 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Pix2Struct-base |
- 1:1 Accuracy
- 56.0
|
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding 2022-10-07 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| VisionTapas-OCR |
- 1:1 Accuracy
- 45.5
|
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning 2022-03-19 |
코드 1 |
| DePlot+GPT3 (Self-Consistency) |
- 1:1 Accuracy
- 42.3
|
DePlot: One-shot visual language reasoning by plot-to-table translation 2022-12-20 |
코드 1 |
| DePlot+GPT3 (CoT) |
- 1:1 Accuracy
- 36.9
|
DePlot: One-shot visual language reasoning by plot-to-table translation 2022-12-20 |
코드 1 |