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cs.CV2026
Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
William Rudman, Michal Golovanevsky, Dana Arad +4
Large vision-language models (VLMs) are highly capable, yet often hallucinate by favoring textual prompts over visual evidence. We study this failure mode in a controlled object-co…
cs.CV2024
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…