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features: |
|
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- name: qid |
|
|
dtype: string |
|
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- name: image |
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dtype: image |
|
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- name: source |
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dtype: string |
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- name: question |
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|
dtype: string |
|
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- name: A |
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dtype: string |
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- name: B |
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dtype: string |
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- name: C |
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dtype: string |
|
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- name: D |
|
|
dtype: string |
|
|
- name: answer |
|
|
dtype: string |
|
|
splits: |
|
|
- name: test |
|
|
num_bytes: 7306802 |
|
|
num_examples: 348 |
|
|
- name: val |
|
|
num_bytes: 1871498 |
|
|
num_examples: 81 |
|
|
- name: dev |
|
|
num_bytes: 88388 |
|
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num_examples: 5 |
|
|
download_size: 9067483 |
|
|
dataset_size: 9266688 |
|
|
- config_name: statistics |
|
|
features: |
|
|
- name: qid |
|
|
dtype: string |
|
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- name: image |
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dtype: image |
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- name: source |
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dtype: string |
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- name: question |
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dtype: string |
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- name: A |
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dtype: string |
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- name: B |
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dtype: string |
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- name: C |
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dtype: string |
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- name: D |
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dtype: string |
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- name: answer |
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dtype: string |
|
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- name: stats |
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struct: |
|
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- name: hardness |
|
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dtype: string |
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- name: stats |
|
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dtype: string |
|
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splits: |
|
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- name: test |
|
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num_bytes: 1725838 |
|
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num_examples: 100 |
|
|
- name: val |
|
|
num_bytes: 721078 |
|
|
num_examples: 45 |
|
|
- name: dev |
|
|
num_bytes: 107961 |
|
|
num_examples: 5 |
|
|
download_size: 2195463 |
|
|
dataset_size: 2554877 |
|
|
- config_name: structural_engineering |
|
|
features: |
|
|
- name: qid |
|
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dtype: string |
|
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- name: image |
|
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dtype: image |
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- name: source |
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dtype: string |
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- name: question |
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dtype: string |
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- name: A |
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dtype: string |
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- name: B |
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dtype: string |
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- name: C |
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dtype: string |
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- name: D |
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dtype: string |
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- name: answer |
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dtype: string |
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- name: stats |
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struct: |
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- name: hardness |
|
|
dtype: string |
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- name: stats |
|
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dtype: string |
|
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splits: |
|
|
- name: test |
|
|
num_bytes: 1098942 |
|
|
num_examples: 100 |
|
|
- name: val |
|
|
num_bytes: 300370 |
|
|
num_examples: 19 |
|
|
- name: dev |
|
|
num_bytes: 89750 |
|
|
num_examples: 5 |
|
|
download_size: 1398007 |
|
|
dataset_size: 1489062 |
|
|
- config_name: veterinary_medicine |
|
|
features: |
|
|
- name: qid |
|
|
dtype: string |
|
|
- name: image |
|
|
dtype: image |
|
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- name: source |
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dtype: string |
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- name: question |
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dtype: string |
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- name: A |
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dtype: string |
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- name: B |
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dtype: string |
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- name: C |
|
|
dtype: string |
|
|
- name: D |
|
|
dtype: string |
|
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- name: answer |
|
|
dtype: string |
|
|
- name: stats |
|
|
struct: |
|
|
- name: hardness |
|
|
dtype: string |
|
|
- name: stats |
|
|
dtype: string |
|
|
splits: |
|
|
- name: test |
|
|
num_bytes: 4751794 |
|
|
num_examples: 150 |
|
|
- name: val |
|
|
num_bytes: 194977 |
|
|
num_examples: 11 |
|
|
- name: dev |
|
|
num_bytes: 84047 |
|
|
num_examples: 5 |
|
|
download_size: 5014497 |
|
|
dataset_size: 5030818 |
|
|
configs: |
|
|
- config_name: accounting |
|
|
data_files: |
|
|
- split: test |
|
|
path: accounting/test-* |
|
|
- split: val |
|
|
path: accounting/val-* |
|
|
- split: dev |
|
|
path: accounting/dev-* |
|
|
- config_name: arts |
|
|
data_files: |
|
|
- split: test |
|
|
path: arts/test-* |
|
|
- split: val |
|
|
path: arts/val-* |
|
|
- split: dev |
|
|
path: arts/dev-* |
|
|
- config_name: biology |
|
|
data_files: |
|
|
- split: test |
|
|
path: biology/test-* |
|
|
- split: val |
|
|
path: biology/val-* |
|
|
- split: dev |
|
|
path: biology/dev-* |
|
|
- config_name: chemistry |
|
|
data_files: |
|
|
- split: test |
|
|
path: chemistry/test-* |
|
|
- split: val |
|
|
path: chemistry/val-* |
|
|
- split: dev |
|
|
path: chemistry/dev-* |
|
|
- config_name: chinese_literature |
|
|
data_files: |
|
|
- split: test |
|
|
path: chinese_literature/test-* |
|
|
- split: val |
|
|
path: chinese_literature/val-* |
|
|
- split: dev |
|
|
path: chinese_literature/dev-* |
|
|
- config_name: dentistry |
|
|
data_files: |
|
|
- split: test |
|
|
path: dentistry/test-* |
|
|
- split: val |
|
|
path: dentistry/val-* |
|
|
- split: dev |
|
|
path: dentistry/dev-* |
|
|
- config_name: electronic_circuits |
|
|
data_files: |
|
|
- split: test |
|
|
path: electronic_circuits/test-* |
|
|
- split: val |
|
|
path: electronic_circuits/val-* |
|
|
- split: dev |
|
|
path: electronic_circuits/dev-* |
|
|
- config_name: fundamentals_of_physical_therapy |
|
|
data_files: |
|
|
- split: test |
|
|
path: fundamentals_of_physical_therapy/test-* |
|
|
- split: val |
|
|
path: fundamentals_of_physical_therapy/val-* |
|
|
- split: dev |
|
|
path: fundamentals_of_physical_therapy/dev-* |
|
|
- config_name: geography |
|
|
data_files: |
|
|
- split: val |
|
|
path: geography/val-* |
|
|
- split: dev |
|
|
path: geography/dev-* |
|
|
- split: test |
|
|
path: geography/test-* |
|
|
- config_name: mathematics |
|
|
data_files: |
|
|
- split: test |
|
|
path: mathematics/test-* |
|
|
- split: val |
|
|
path: mathematics/val-* |
|
|
- split: dev |
|
|
path: mathematics/dev-* |
|
|
- config_name: mechanics |
|
|
data_files: |
|
|
- split: test |
|
|
path: mechanics/test-* |
|
|
- split: val |
|
|
path: mechanics/val-* |
|
|
- split: dev |
|
|
path: mechanics/dev-* |
|
|
- config_name: medical |
|
|
data_files: |
|
|
- split: test |
|
|
path: medical/test-* |
|
|
- split: val |
|
|
path: medical/val-* |
|
|
- split: dev |
|
|
path: medical/dev-* |
|
|
- config_name: music |
|
|
data_files: |
|
|
- split: test |
|
|
path: music/test-* |
|
|
- split: val |
|
|
path: music/val-* |
|
|
- split: dev |
|
|
path: music/dev-* |
|
|
- config_name: natural_science |
|
|
data_files: |
|
|
- split: test |
|
|
path: natural_science/test-* |
|
|
- split: val |
|
|
path: natural_science/val-* |
|
|
- split: dev |
|
|
path: natural_science/dev-* |
|
|
- config_name: navigation |
|
|
data_files: |
|
|
- split: test |
|
|
path: navigation/test-* |
|
|
- split: val |
|
|
path: navigation/val-* |
|
|
- split: dev |
|
|
path: navigation/dev-* |
|
|
- config_name: pharmaceutical_chemistry |
|
|
data_files: |
|
|
- split: test |
|
|
path: pharmaceutical_chemistry/test-* |
|
|
- split: val |
|
|
path: pharmaceutical_chemistry/val-* |
|
|
- split: dev |
|
|
path: pharmaceutical_chemistry/dev-* |
|
|
- config_name: physics |
|
|
data_files: |
|
|
- split: test |
|
|
path: physics/test-* |
|
|
- split: val |
|
|
path: physics/val-* |
|
|
- split: dev |
|
|
path: physics/dev-* |
|
|
- config_name: sociology |
|
|
data_files: |
|
|
- split: test |
|
|
path: sociology/test-* |
|
|
- split: val |
|
|
path: sociology/val-* |
|
|
- split: dev |
|
|
path: sociology/dev-* |
|
|
- config_name: statistics |
|
|
data_files: |
|
|
- split: test |
|
|
path: statistics/test-* |
|
|
- split: val |
|
|
path: statistics/val-* |
|
|
- split: dev |
|
|
path: statistics/dev-* |
|
|
- config_name: structural_engineering |
|
|
data_files: |
|
|
- split: test |
|
|
path: structural_engineering/test-* |
|
|
- split: val |
|
|
path: structural_engineering/val-* |
|
|
- split: dev |
|
|
path: structural_engineering/dev-* |
|
|
- config_name: veterinary_medicine |
|
|
data_files: |
|
|
- split: test |
|
|
path: veterinary_medicine/test-* |
|
|
- split: val |
|
|
path: veterinary_medicine/val-* |
|
|
- split: dev |
|
|
path: veterinary_medicine/dev-* |
|
|
task_categories: |
|
|
- text-generation |
|
|
language: |
|
|
- zh |
|
|
tags: |
|
|
- taiwan |
|
|
- vlm |
|
|
- traditional-chinese |
|
|
- benchmark |
|
|
- zh-hant |
|
|
--- |
|
|
# VisTW-MCQ : Visual Multi-Choice Question answering |
|
|
|
|
|
<p align="center"> |
|
|
<img src="https://huggingface.co/datasets/VisTai/vistw-dialogue/resolve/main/vistai.v3.png" alt="" style="max-width: 1200" width=800 /> |
|
|
</p> |
|
|
|
|
|
VisTW-MCQ, composed of past examination questions from various educational levels in Taiwan, ranging from primary and secondary education to specialized undergraduate courses, such as veterinary medicine. |
|
|
|
|
|
Our benchmark dataset was constructed using real-world exam papers collected from publicly available sources spanning the years 2013 to 2024. We selected subjects specifically requiring visual comprehension, such as medical diagnostics (e.g., interpreting X-ray and ultrasound images), geometry, electronic circuit design, and chemistry. For each question, we additionally collected human performance data, including average accuracy scores, to better gauge question difficulty and establish a human performance baseline. |
|
|
|
|
|
Official benchmark : [Github TMMMU-Benchmark/evaluation](https://github.com/TMMMU-Benchmark/evaluation) |
|
|
|
|
|
Arxiv : [VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan](https://arxiv.org/abs/2503.10427v2) |
|
|
|
|
|
| Model | MCQA Score | MCQA Rank | Freeform Score | Freeform Rank | Avg Rank | |
|
|
| --- | ---: | ---: | ---: | ---: | ---: | |
|
|
| gemini-2.5-flash | 0.7849 | 1 | 2.5496 | 44 | 22.5 | |
|
|
| o3-2025-04-16 | 0.7769 | 2 | 6.9878 | 2 | 2.0 | |
|
|
| o4-mini-2025-04-16 | 0.7364 | 3 | 6.7802 | 3 | 3.0 | |
|
|
| quasar-alpha | 0.6673 | 4 | 6.2733 | 10 | 7.0 | |
|
|
| ~~gemini-2.0-pro-exp-02-05~~ | 0.6619 | 5 | 6.7237 | 4 | 4.5 | |
|
|
| gemini-2.0-flash-001 | 0.6596 | 6 | 6.6451 | 6 | 6.0 | |
|
|
| llama-4-maverick | 0.6529 | 7 | 4.884 | 17 | 12.0 | |
|
|
| gpt-4.1 | 0.6503 | 8 | 6.5954 | 7 | 7.5 | |
|
|
| optimus-alpha | 0.6434 | 9 | 6.6916 | 5 | 7.0 | |
|
|
| gemini-2.5-pro-preview-03-25 | 0.6072 | 10 | 7.9725 | 1 | 5.5 | |
|
|
| claude-3-5-sonnet-20241022 | 0.6019 | 11 | 5.9603 | 14 | 12.5 | |
|
|
| gpt-4.1-mini | 0.5809 | 12 | 6.1344 | 11 | 11.5 | |
|
|
| gpt-4o-2024-11-20 | 0.5755 | 13 | 6.1176 | 12 | 12.5 | |
|
|
| qwen2.5-vl-72b-instruct | 0.5504 | 14 | 4.8656 | 18 | 16.0 | |
|
|
| llama-4-scout | 0.5292 | 15 | 4.0943 | 28 | 21.5 | |
|
|
| gemini-2.0-flash-lite-preview-02-05 | 0.4992 | 16 | 6.4159 | 9 | 12.5 | |
|
|
| qwen2.5-vl-32b-instruct | 0.4935 | 17 | 5.5027 | 15 | 16.0 | |
|
|
| gemma-3-12b-it | 0.4863 | 18 | 3.9403 | 29 | 23.5 | |
|
|
| mistral-small-3.1-24b-instruct-2503 | 0.459 | 19 | 4.3298 | 22 | 20.5 | |
|
|
| gemini-1.5-pro | 0.4417 | 20 | 5.0504 | 16 | 18.0 | |
|
|
| gemma-3-27b-it | 0.4375 | 21 | 4.6 | 20 | 20.5 | |
|
|
| meta-llama-Llama-3.2-90B-Vision-Instruct-Turbo | 0.4119 | 22 | 3.4443 | 36 | 29.0 | |
|
|
| qvq-72b-preview | 0.4094 | 23 | 3.6122 | 33 | 28.0 | |
|
|
| gpt-4o-mini-2024-07-18 | 0.4091 | 24 | 4.7405 | 19 | 21.5 | |
|
|
| gpt-4o-2024-08-06 | 0.4 | 25 | 5.9756 | 13 | 19.0 | |
|
|
| gpt-4.1-nano | 0.3974 | 26 | 4.1634 | 27 | 26.5 | |
|
|
| gemini-1.5-flash | 0.3943 | 27 | 4.2611 | 23 | 25.0 | |
|
|
| gemini-2.0-flash-thinking-exp-1219 | 0.3764 | 28 | 6.5053 | 8 | 18.0 | |
|
|
| Qwen-Qwen2.5-VL-7B-Instruct | 0.3592 | 29 | 4.542 | 21 | 25.0 | |
|
|
| OpenGVLab-InternVL2-8B-MPO | 0.3533 | 30 | 3.6778 | 32 | 31.0 | |
|
|
| OpenGVLab-InternVL2_5-8B | 0.3447 | 31 | 3.9008 | 30 | 30.5 | |
|
|
| OpenGVLab-InternVL2-8B | 0.3431 | 32 | 3.4504 | 35 | 33.5 | |
|
|
| nova-lite-v1 | 0.3377 | 33 | 3.2626 | 37 | 35.0 | |
|
|
| claude-3-haiku-20240307 | 0.3291 | 34 | 3.6992 | 31 | 32.5 | |
|
|
| OpenGVLab-InternVL2_5-4B | 0.3291 | 35 | 3.6031 | 34 | 34.5 | |
|
|
| gemini-1.5-flash-8b | 0.328 | 36 | 4.1771 | 26 | 31.0 | |
|
|
| gemma-3n-e4b-it | 0.3264 | 37 | 2.2275 | 46 | 41.5 | |
|
|
| meta-llama-Llama-3.2-11B-Vision-Instruct-Turbo | 0.3262 | 38 | 2.5786 | 43 | 40.5 | |
|
|
| deepseek-ai-deepseek-vl2-small | 0.3181 | 39 | 0.5084 | 51 | 45.0 | |
|
|
| llama3.2-ffm-11b-v-32k-chat | 0.3119 | 40 | 3.115 | 39 | 39.5 | |
|
|
| OpenGVLab-InternVL2-4B | 0.3081 | 41 | 2.3069 | 45 | 43.0 | |
|
|
| gemma-3-4b-it | 0.3062 | 42 | 3.0382 | 40 | 41.0 | |
|
|
| Qwen-Qwen2-VL-7B-Instruct | 0.3004 | 43 | 4.2122 | 25 | 34.0 | |
|
|
| MediaTek-Research-Llama-Breeze2-3B-Instruct | 0.2971 | 44 | 2.8992 | 42 | 43.0 | |
|
|
| MediaTek-Research-Llama-Breeze2-8B-Instruct | 0.2915 | 45 | 3.1374 | 38 | 41.5 | |
|
|
| OpenGVLab-InternVL2-2B | 0.2891 | 46 | 2.2198 | 47 | 46.5 | |
|
|
| phi-4-multimodal-instruct | 0.286 | 47 | 1.7863 | 50 | 48.5 | |
|
|
| deepseek-ai-deepseek-vl2-tiny | 0.2781 | 48 | 2.0076 | 49 | 48.5 | |
|
|
| THUDM-cogvlm2-llama3-chinese-chat-19B | 0.2777 | 49 | 2.9618 | 41 | 45.0 | |
|
|
| OpenGVLab-InternVL2-1B | 0.2689 | 50 | 2.1298 | 48 | 49.0 | |
|
|
| moonshotai-Kimi-VL-A3B-Instruct | 0.2 | 51 | 4.22 | 24 | 37.5 | |
|
|
|
|
|
|
|
|
*Models ordered by VisTW-MCQ Rank.* |
|
|
|
|
|
|
|
|
## Citation |
|
|
|
|
|
``` |
|
|
@article{tam2025vistw, |
|
|
title={VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan}, |
|
|
author={Tam, Zhi Rui and Pai, Ya-Ting and Lee, Yen-Wei and Chen, Yun-Nung}, |
|
|
journal={arXiv preprint arXiv:2503.10427}, |
|
|
year={2025} |
|
|
} |
|
|
``` |
