End-to-end vision-language models (VLMs) bind visual competence to the scale of their language model: as the language model shrinks, perception and reasoning degrade together. We study an embodied scene question-answering (QA) interface in which vision never enters the language model. A frozen perception stack detects...
Cong Xu, Ravi Sankar· Zenodo (CERN European Organi...· 0 citations
End-to-end vision-language models (VLMs) bind visual competence to the scale of their language model: as the language model shrinks, perception and reasoning degrade together. We study an embodied scene question-answering (QA) interface in which vision never enters the language model. A frozen perception stack detects...
Cong Xu, Ravi Sankar· Zenodo (CERN European Organi...· 0 citations
Preprint notice: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Deploying a language model on an embedded accelerator can fix its architecture, vocabulary and weight footprint before accuracy is consid...
Cong Xu, Ravi Sankar· Zenodo (CERN European Organi...· 0 citations
Preprint notice: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Deploying a language model on an embedded accelerator can fix its architecture, vocabulary and weight footprint before accuracy is consid...
Cong Xu, Ravi Sankar· Zenodo (CERN European Organi...· 0 citations
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