Cover Image

We Should Chart an Atlas of All the World's Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Horwitz, Eliahu, Kurer, Nitzan, Kahana, Jonathan, Amar, Liel, Hoshen, Yedid
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Recovering the Pre-Fine-Tuning Weights of Generative Models
by: Horwitz, Eliahu, et al.
Published: (2024)

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights
by: Kahana, Jonathan, et al.
Published: (2025)

Learning on Model Weights using Tree Experts
by: Horwitz, Eliahu, et al.
Published: (2024)

Deep Linear Probe Generators for Weight Space Learning
by: Kahana, Jonathan, et al.
Published: (2024)

Discovering Hidden Gems in Model Repositories
by: Kahana, Jonathan, et al.
Published: (2026)

Dataset Size Recovery from LoRA Weights
by: Salama, Mohammad, et al.
Published: (2024)

Distilling Datasets Into Less Than One Image
by: Shul, Asaf, et al.
Published: (2024)

Real-Time Deepfake Detection in the Real-World
by: Cavia, Bar, et al.
Published: (2024)

An Attribute-based Method for Video Anomaly Detection
by: Reiss, Tal, et al.
Published: (2022)

Set Features for Anomaly Detection
by: Cohen, Niv, et al.
Published: (2023)

A Dataset is Worth 1 MB
by: Shoshani, Elad Kimchi, et al.
Published: (2026)

Unsupervised Model Tree Heritage Recovery
by: Horwitz, Eliahu, et al.
Published: (2024)

We Should Separate Memorization from Copyright
by: Haviv, Adi, et al.
Published: (2026)

ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
by: Salamatian, Ali, et al.
Published: (2025)

Text Role Classification in Scientific Charts Using Multimodal Transformers
by: Kim, Hye Jin, et al.
Published: (2024)

Rethinking Comprehensive Benchmark for Chart Understanding: A Perspective from Scientific Literature
by: Shen, Lingdong, et al.
Published: (2024)

DocAtlas: Multilingual Document Understanding Across 80+ Languages
by: Heakl, Ahmed, et al.
Published: (2026)

Progressive Photorealistic Simplification
by: Rosenthal, Adi, et al.
Published: (2026)

Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
by: Park, Simon, et al.
Published: (2025)

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?
by: Yu, Yaodong, et al.
Published: (2023)

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)

Can World Models Benefit VLMs for World Dynamics?
by: Zhang, Kevin, et al.
Published: (2025)

Wolf: Dense Video Captioning with a World Summarization Framework
by: Li, Boyi, et al.
Published: (2024)

ChartCheck: Explainable Fact-Checking over Real-World Chart Images
by: Akhtar, Mubashara, et al.
Published: (2023)

Multimodal Information Fusion for Chart Understanding: A Survey of MLLMs -- Evolution, Limitations, and Cognitive Enhancement
by: Yi, Zhihang, et al.
Published: (2026)

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
by: Lù, Xing Han, et al.
Published: (2024)

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation
by: Wu, Ning, et al.
Published: (2026)

WorldCache: Content-Aware Caching for Accelerated Video World Models
by: Nawaz, Umair, et al.
Published: (2026)

TechING: Towards Real World Technical Image Understanding via VLMs
by: Nadeem, Tafazzul, et al.
Published: (2026)

Can We Edit Multimodal Large Language Models?
by: Cheng, Siyuan, et al.
Published: (2023)

PAN: A World Model for General, Interactable, and Long-Horizon World Simulation
by: PAN Team, et al.
Published: (2025)

Bridging the Gap Between Multimodal Foundation Models and World Models
by: He, Xuehai
Published: (2025)

Dual-Process Image Generation
by: Luo, Grace, et al.
Published: (2025)

Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models
by: Nguyen, Dang, et al.
Published: (2025)

ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control
by: Golan, Shelly, et al.
Published: (2026)

The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation
by: Yin, Aoxiong, et al.
Published: (2025)

Critiques of World Models
by: Xing, Eric, et al.
Published: (2025)

Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning
by: Sinha, Sanchit, et al.
Published: (2025)

ChartAgent: A Chart Understanding Framework with Tool Integrated Reasoning
by: Wang, Boran, et al.
Published: (2025)

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
by: Qiao, Runqi, et al.
Published: (2024)