GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs

Recent works have shown that Large Language Models (LLMs) could empower traditional neuro-symbolic models via programming capabilities to translate language into module descriptions, thus achieving strong visual reasoning results while maintaining the model's transparency and efficiency. Howeve...

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Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Chen, Zhenfang, Sun, Rui, Liu, Wenjun, Hong, Yining, Chuang Gan
Format:	Artikel
Sprache:	eng
Schlagworte:	Large language models Model testing Module libraries Modules Reasoning Reuse Training Visual observation Visual tasks
Online-Zugang:	Volltext
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