104 citations · 673 across the 47 of their papers we have counts for
5 papers · 1 filter
Velocity Scaling in Flow Matching
Youssef Saied, François Fleuret
Scaling a learned flow-matching velocity field by a gain was recently shown to greatly improve generation quality. Prior work argued that velocity fields trained with…
Adversarial Images Hijack Web Agents from Visual Grounding to Browser Execution
Wanjing Han, Levi Taiji Li, Mu Zhang +2
Modern web agents built on large vision-language models process webpages, select relevant UI elements, and translate model outputs into browser actions. Existing visual red-teaming…
Model Casting and Low-Parameter Gating: Towards More Sparsely Activated FFNs
Maria Lomeli, Antoine Groudiev, Matthijs Douze +7
This paper introduces model casting, a mid-training recipe that drastically sparsifies the activations within the Feed-Forward Network (FFN) layer. With this strategy, at inference…
Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks
Mariia Drozdova, Stéphane Liem Nguyen, François Fleuret
Denoising Diffusion Probabilistic Models (DDPMs) generate samples by starting from noise and repeatedly denoising while keeping each update close to the current noisy state. This b…
MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
Mingqiao Ye, Zhaochong An, Zhitong Gao +11
Any-to-any models predict any modality from any combination of others within a single network, a formulation used in multimodal vision and vision-language models, and increasingly…