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Learning Disentangled Joint Continuous and Discrete Representations

Neural Information Processing Systems

Itcomeswiththeadvantages ofVAEs, such asstable training, largesample diversity and aprincipled inference network, while having the flexibility to model a combination of continuous and discrete generative factors.








Deductive Verification of Chain-of-Thought Reasoning

Neural Information Processing Systems

To facilitate this procedure, we propose Natural Program, a natural language-based deductive reasoning format. Our approach enables models to generate precise reasoning steps where subsequent steps are more rigorously grounded on prior steps.