activity
20222026
most citedDiffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

6 citations · 9 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Encoded but Unused: Bounding the Sources of VLM Errors

Anat Veikherman, Mor Ventura, Nitay Calderon +2

In this paper, we investigate why vision-language models (VLMs) produce errors by decomposing them into two sources: visual-representation failures, in which the visual evidence re…

cs.LG2026

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

Alan Arazi, Eilam Shapira, Shoham Grunblat +8

Tabular Foundation Models have recently established the state of the art in supervised tabular learning, by leveraging pretraining to learn generalizable representations of numeric…

cs.CV2025

DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models

Mor Ventura, Michael Toker, Or Patashnik +2

Text-to-Image (T2I) models have advanced rapidly, yet they remain vulnerable to semantic leakage, the unintended transfer of semantically related features between distinct entities…

cs.CV2024★ 1 cited

NL-Eye: Abductive NLI for Images

Mor Ventura, Michael Toker, Nitay Calderon +3

Will a Visual Language Model (VLM)-based bot warn us about slipping if it detects a wet floor? Recent VLMs have demonstrated impressive capabilities, yet their ability to infer out…

cs.CV2024★ 6 cited

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Michael Toker, Hadas Orgad, Mor Ventura +2

Text-to-image diffusion models (T2I) use a latent representation of a text prompt to guide the image generation process. However, the process by which the encoder produces the text…

cs.CL2023★ 2 cited

Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models

Mor Ventura, Eyal Ben-David, Anna Korhonen +1

Text-To-Image (TTI) models, such as DALL-E and StableDiffusion, have demonstrated remarkable prompt-based image generation capabilities. Multilingual encoders may have a substantia…

cs.CL2022

TRBLLmaker -- Transformer Reads Between Lyrics Lines maker

Mor Ventura, Michael Toker

Even for us, it can be challenging to comprehend the meaning of songs. As part of this project, we explore the process of generating the meaning of songs. Despite the widespread us…

cs.SI2022

Rethinking The Memory Staleness Problem In Dynamics GNN

Mor Ventura, Hadas Ben Atya, Dekel Brav

The staleness problem is a well-known problem when working with dynamic data, due to the absence of events for a long time. Since the memory of the node is updated only when the no…