SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation
Fuente:
arXiv
Saved in:
| Main Authors: | Roberts, Jonathan, Han, Kai, Houlsby, Neil, Albanie, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
by: Roberts, Jonathan, et al.
Published: (2024)
by: Roberts, Jonathan, et al.
Published: (2024)
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
by: Roberts, Jonathan, et al.
Published: (2023)
by: Roberts, Jonathan, et al.
Published: (2023)
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
by: Deng, Andong, et al.
Published: (2025)
by: Deng, Andong, et al.
Published: (2025)
Scaling Open-Vocabulary Object Detection
by: Minderer, Matthias, et al.
Published: (2023)
by: Minderer, Matthias, et al.
Published: (2023)
SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection
by: Hu, You, et al.
Published: (2026)
by: Hu, You, et al.
Published: (2026)
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
by: Roberts, Jonathan, et al.
Published: (2025)
by: Roberts, Jonathan, et al.
Published: (2025)
SciVQR: A Multidisciplinary Multimodal Benchmark for Advanced Scientific Reasoning Evaluation
by: Guo, Longteng, et al.
Published: (2026)
by: Guo, Longteng, et al.
Published: (2026)
Frozen Feature Augmentation for Few-Shot Image Classification
by: Bär, Andreas, et al.
Published: (2024)
by: Bär, Andreas, et al.
Published: (2024)
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023
by: Hsu, Ting-Yao E., et al.
Published: (2025)
by: Hsu, Ting-Yao E., et al.
Published: (2025)
Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variations
by: Kumar, Manoj, et al.
Published: (2024)
by: Kumar, Manoj, et al.
Published: (2024)
SciMDR: Advancing Scientific Multimodal Document Reasoning
by: Chen, Ziyu, et al.
Published: (2026)
by: Chen, Ziyu, et al.
Published: (2026)
A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks
by: Udandarao, Vishaal, et al.
Published: (2025)
by: Udandarao, Vishaal, et al.
Published: (2025)
LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation
by: Wang, Jun, et al.
Published: (2026)
by: Wang, Jun, et al.
Published: (2026)
Active Data Curation Effectively Distills Large-Scale Multimodal Models
by: Udandarao, Vishaal, et al.
Published: (2024)
by: Udandarao, Vishaal, et al.
Published: (2024)
How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)
by: Dziadzio, Sebastian, et al.
Published: (2024)
From Sparse to Soft Mixtures of Experts
by: Puigcerver, Joan, et al.
Published: (2023)
by: Puigcerver, Joan, et al.
Published: (2023)
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
by: Mall, Utkarsh, et al.
Published: (2025)
by: Mall, Utkarsh, et al.
Published: (2025)
Benchmarking Foundation Models for Mitotic Figure Classification
by: Ammeling, Jonas, et al.
Published: (2025)
by: Ammeling, Jonas, et al.
Published: (2025)
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
by: Hogan, Brendan, et al.
Published: (2024)
by: Hogan, Brendan, et al.
Published: (2024)
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)
by: Ghosh, Adhiraj, et al.
Published: (2024)
BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks
by: Stevens, Samuel
Published: (2025)
by: Stevens, Samuel
Published: (2025)
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
by: Wu, Siwei, et al.
Published: (2024)
by: Wu, Siwei, et al.
Published: (2024)
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
by: Wen, Zichen, et al.
Published: (2026)
by: Wen, Zichen, et al.
Published: (2026)
Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies
by: Hou, Wenjin, et al.
Published: (2026)
by: Hou, Wenjin, et al.
Published: (2026)
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
by: Xu, Zhaopan, et al.
Published: (2025)
by: Xu, Zhaopan, et al.
Published: (2025)
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
by: Udandarao, Vishaal, et al.
Published: (2024)
by: Udandarao, Vishaal, et al.
Published: (2024)
A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision
by: Raude, Charles, et al.
Published: (2024)
by: Raude, Charles, et al.
Published: (2024)
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
by: Wang, Lehan, et al.
Published: (2024)
by: Wang, Lehan, et al.
Published: (2024)
Echo-α: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation
by: Zhang, Jing, et al.
Published: (2026)
by: Zhang, Jing, et al.
Published: (2026)
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
by: Prabhu, Ameya, et al.
Published: (2024)
by: Prabhu, Ameya, et al.
Published: (2024)
ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models
by: De Min, Thomas, et al.
Published: (2026)
by: De Min, Thomas, et al.
Published: (2026)
PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language Models
by: Huang, Mouxiao, et al.
Published: (2025)
by: Huang, Mouxiao, et al.
Published: (2025)
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models
by: Zhang, Guosheng, et al.
Published: (2025)
by: Zhang, Guosheng, et al.
Published: (2025)
RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from Scientific Literature
by: Li, Hanzheng, et al.
Published: (2025)
by: Li, Hanzheng, et al.
Published: (2025)
HiSciBench: A Hierarchical Multi-disciplinary Benchmark for Scientific Intelligence from Reading to Discovery
by: Zhang, Yaping, et al.
Published: (2025)
by: Zhang, Yaping, et al.
Published: (2025)
SciPostLayoutTree: A Dataset for Structural Analysis of Scientific Posters
by: Tanaka, Shohei, et al.
Published: (2025)
by: Tanaka, Shohei, et al.
Published: (2025)
SciLT: Long-tailed Image Classification under Scientific Image Domains
by: Chen, Jiahao, et al.
Published: (2026)
by: Chen, Jiahao, et al.
Published: (2026)
VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering
by: Li, Yuyi, et al.
Published: (2025)
by: Li, Yuyi, et al.
Published: (2025)
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
by: Qin, Zhenyue, et al.
Published: (2024)
by: Qin, Zhenyue, et al.
Published: (2024)
S1-MMAlign: A Large-Scale, Multi-Disciplinary Dataset for Scientific Figure-Text Understanding
by: Wang, He, et al.
Published: (2026)
by: Wang, He, et al.
Published: (2026)
Similar Items
-
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
by: Roberts, Jonathan, et al.
Published: (2024) -
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
by: Roberts, Jonathan, et al.
Published: (2023) -
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
by: Deng, Andong, et al.
Published: (2025) -
Scaling Open-Vocabulary Object Detection
by: Minderer, Matthias, et al.
Published: (2023) -
SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection
by: Hu, You, et al.
Published: (2026)