Cover Image

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Arazi, Alan, Shapira, Eilam, Grunblat, Shoham, Ventura, Mor, Hoffer, Elad, Blayer, Gioia, Holzmüller, David, Purucker, Lennart, Varoquaux, Gaël, Hutter, Frank, Reichart, Roi
Format:	Preprint
Published:	2026
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

STRABLE: Benchmarking Tabular Machine Learning with Strings
by: Blayer, Gioia, et al.
Published: (2026)

TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
by: Shapira, Eilam, et al.
Published: (2026)

The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents
by: Shapira, Eilam, et al.
Published: (2026)

Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
by: Shapira, Eilam, et al.
Published: (2024)

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
by: Shapira, Eilam, et al.
Published: (2023)

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
by: Nakash, Itay, et al.
Published: (2025)

GLEE: A Unified Framework and Benchmark for Language-based Economic Environments
by: Shapira, Eilam, et al.
Published: (2024)

Donors and Recipients: On Asymmetric Transfer Across Tasks and Languages with Parameter-Efficient Fine-Tuning
by: Dymkiewicz, Kajetan, et al.
Published: (2025)

DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
by: Ventura, Mor, et al.
Published: (2025)

Text2Model: Text-based Model Induction for Zero-shot Image Classification
by: Amosy, Ohad, et al.
Published: (2022)

Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models
by: Ventura, Mor, et al.
Published: (2023)

Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis
by: Ventura, Mor, et al.
Published: (2026)

Early Stopping Tabular In-Context Learning
by: Küken, Jaris, et al.
Published: (2025)

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025)

NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024)

Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models
by: Bühler, Magnus, et al.
Published: (2026)

Large Language Models Engineer Too Many Simple Features For Tabular Data
by: Küken, Jaris, et al.
Published: (2024)

TabArena: A Living Benchmark for Machine Learning on Tabular Data
by: Erickson, Nick, et al.
Published: (2025)

Textual Planning with Explicit Latent Transitions
by: Shlomi, Eliezer, et al.
Published: (2026)

Quickly Tuning Foundation Models for Image Segmentation
by: Das, Breenda, et al.
Published: (2025)

What is the Role of Small Models in the LLM Era: A Survey
by: Chen, Lihu, et al.
Published: (2024)

TabAgent: A Framework for Replacing Agentic Generative Components with Tabular-Textual Classifiers
by: Levy, Ido, et al.
Published: (2026)

How Usable is Automated Feature Engineering for Tabular Data?
by: Schäfer, Bastian, et al.
Published: (2025)

Decidability Results for Fragments of First-Order Logic via a Symbolic Model Property
by: Elad, Neta, et al.
Published: (2026)

Axe 'Em: Eliminating Spurious States with Induction Axioms
by: Elad, Neta, et al.
Published: (2024)

Fairness under Competition
by: Gradwohl, Ronen, et al.
Published: (2025)

On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
by: Calderon, Nitay, et al.
Published: (2024)

Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2026)

HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data
by: Maier, Jannis, et al.
Published: (2026)

A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities
by: Peled-Cohen, Lotem, et al.
Published: (2024)

Towards Benchmarking Foundation Models for Tabular Data With Text
by: Mráz, Martin, et al.
Published: (2025)

Learning High-Quality and General-Purpose Phrase Representations
by: Chen, Lihu, et al.
Published: (2024)

Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI
by: Varoquaux, Gaël, et al.
Published: (2024)

Ensembling Finetuned Language Models for Text Classification
by: Arango, Sebastian Pineda, et al.
Published: (2024)

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
by: Calderon, Nitay, et al.
Published: (2025)

Large Language Models as Search Engines: Societal Challenges
by: Sadeddine, Zacchary, et al.
Published: (2025)

TabICLv2: A better, faster, scalable, and open tabular foundation model
by: Qu, Jingang, et al.
Published: (2026)

Separating the Wheat from the Chaff: Understanding (In-)Completeness of Proof Mechanisms for Separation Logic with Inductive Definitions
by: Elad, Neta, et al.
Published: (2025)

An Infinite Needle in a Finite Haystack: Finding Infinite Counter-Models in Deductive Verification
by: Elad, Neta, et al.
Published: (2023)