neurosymbolic-vqa-program-generator
msmrexe
A comprehensive implementation of a Neurosymbolic framework for Visual Question Answering (VQA) on the CLEVR dataset. This project translates natural language questions into symbolic programs using three different learning strategies: Supervised (LSTM & Transformer), Reinforcement Learning (REINFORCE), and In-Context Learning (LLM).
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2 data points · 2026-04-08 → 2026-04-15How do you feel about this project?
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Question copied to clipboardWhat is the msmrexe/neurosymbolic-vqa-program-generator GitHub project? Description: "A comprehensive implementation of a Neurosymbolic framework for Visual Question Answering (VQA) on the CLEVR dataset. This project translates natural language questions into symbolic programs using three different learning strategies: Supervised (LSTM & Transformer), Reinforcement Learning (REINFORCE), and In-Context Learning (LLM).". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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