LLaDA-VLA applies a masked diffusion vision-language model to robot control with localized action-token classification and hierarchical decoding, achieving SOTA success rates on SimplerEnv, CALVIN, and real-robot tasks.
Simplified and generalized masked diffu- sion for discrete data.Advances in neural information pro- cessing systems, 37:103131–103167, 2024
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LLaDA-VLA: Vision Language Diffusion Action Models
LLaDA-VLA applies a masked diffusion vision-language model to robot control with localized action-token classification and hierarchical decoding, achieving SOTA success rates on SimplerEnv, CALVIN, and real-robot tasks.