Papers by Dan Gutfreund

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Challenge:	Existing large language models (LLMs) perform poorly in reasoning about subjective knowledge, showing strong biases and lack interpretability requirements.
Approach:	They propose a novel approach for reasoning about subjective knowledge that integrates potential and implicit meanings and explicitly models the relational nature of the information.
Outcome:	The proposed model outperforms several prominent large language models on the OpinionQA dataset, showing its unique advantages and complementary nature.