Generative VLAs hallucinate physically invalid actions due to topological, precision, and horizon mismatches between model architectures and feasible robot behavior.
Scaling up and distilling down: Language-guided robot skill acquisition
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A survey that organizes existing work on LLM-based agents around code as the central harness, structured in three layers of interfaces, mechanisms, and multi-agent scaling, with applications across domains and listed open challenges.
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Action Hallucination in Generative Vision-Language-Action Models
Generative VLAs hallucinate physically invalid actions due to topological, precision, and horizon mismatches between model architectures and feasible robot behavior.
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Code as Agent Harness
A survey that organizes existing work on LLM-based agents around code as the central harness, structured in three layers of interfaces, mechanisms, and multi-agent scaling, with applications across domains and listed open challenges.