#foundation models

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42 papers match

cs.AI2026

Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation

Marco Alecci, Francesco Marchiori, Iyiola Emmanuel Olatunji +2

The paper evaluates three commercial image‑moderation services built on foundation models and shows that simple, model‑agnostic image transformations (e.g., color inversion, graysc…

#image moderation#adversarial attacks#foundation models#robustness evaluation
cs.LG2026

Memory Efficient Tabular Foundation Models

Shuting Luo, Monika Mikhail Kanaan, Cameron Gordon +2

The paper studies how to reduce the memory footprint of tabular foundation models like TabPFN using compression techniques, achieving up to 7.6× memory savings with little performa…

#tabular data#foundation models#model compression#memory efficiency
cs.CV2026

DS@GT ARC at ImageCLEFmedical 2026: Architectural Diversity for Concept Detection and Foundation-Model Scaling for Caption Prediction in Medical Image Analysis

Bowen Wang, Youwen Zhang, Ritesh Mehta

The paper details DS@GT's approaches for the ImageCLEFmedical 2026 challenge, using a late‑fusion ensemble of ConvNeXt‑V2, BiomedCLIP, and DenseNet‑169 with an Honest Threshold Tun…

#concept detection#medical image captioning#ensemble learning#foundation models
cs.CV2026

Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer

Weiquan Lin, Yu Deng, Shiyang Liu +6

This survey systematically reviews how large foundation models provide geometric, semantic, and visual priors for hand‑object interaction tasks such as reconstruction and generatio…

#hand-object interaction#foundation models#reconstruction#generation
physics.comp-ph2026

Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials

Seán R. Kavanagh, Chuin Wei Tan, Menghang Wang +12

The paper presents fast and accurate equivariant machine‑learned interatomic potentials (NequIP and Allegro) as foundation models that scale to ultra‑large datasets while maintaini…

#machine-learned interatomic potentials#equivariant neural networks#foundation models#materials discovery
cs.AI2026

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

Hanzhang Zhou, Panrong Tong, Xu Zhang +13

The paper introduces Qwen-UI-Agent, a foundation model for GUI agents that can operate across mobile, desktop, web, and search environments, combining GUI actions with CLI commands…

#gui agents#foundation models#mobile automation#reinforcement learning