Papers by Mitch Pryor
Limited Linguistic Diversity in Embodied AI Datasets (2026.acl-long)
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Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor
| Challenge: | Language is a key modality in Vision-Language-Action (VLA) models, yet its linguistic characteristics are poorly documented. |
| Approach: | They propose to audit VLA corpora to characterize what kinds of instructions they contain . they quantify instruction language along complementary dimensions including lexical variety, duplication and overlap, semantic similarity, and syntactic complexity. |
| Outcome: | The proposed dataset audit of several widely used VLA datasets shows that many datasets rely on highly repetitive, template-like commands with limited structural variation yielding a narrow distribution of instruction forms. |