MINT combines symbolic trees with neural uncertainty estimation and LLM query curation to achieve near-expert planning performance by asking a small number of targeted questions that close knowledge gaps.
org/abs/2307.03913
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A workshop proposal to reflect on HCI's core identity and the importance of human elements in the era of generative AI.
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MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
MINT combines symbolic trees with neural uncertainty estimation and LLM query curation to achieve near-expert planning performance by asking a small number of targeted questions that close knowledge gaps.
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What is (H)CI: Why Does the "Human'' Matter?
A workshop proposal to reflect on HCI's core identity and the importance of human elements in the era of generative AI.