Papers by Matt Pauk

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Challenge:	Large language models have demonstrated strong performance in a wide-range of language tasks without task-specific fine-tuning.
Approach:	They combine large language models with combinatorial inference to marry predictive power of LLMs with structural consistency provided by inference methods.
Outcome:	The proposed model incorporates symbolic inference to provide consistent and accurate predictions on challenging tasks.