Sources
Tanishq Mathew Abraham, Ph.D.
LaViDa: A Large Diffusion Language Model for Multimodal Understanding "We introduce LaViDa, a family of VLMs built on DMs. We build LaViDa by equipping DMs with a vision encoder and jointly fine-tune the combined parts for multimodal instruction following. " "LaViDa achieves https://t.co/QJkbeiDA0E
- Tanishq Mathew Abraham, Ph.D.
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning "In this work, we introduce LLaDA-V, a purely diffusion-based Multimodal Large Language Model (MLLM) that integrates visual instruction tuning with masked diffusion models" "LLaDA-V achieves https://t.co/IIjxpWm20d
Aditya Grover Diffusion language models go multimodal! Particularly impressive to see the speed and quality results on visual reasoning benchmarks. Great work led by my students @li78658171, @hbXNov and amazing collaborators. https://t.co/8ryvvC9QF4
Additional media
