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News/MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
arxiv
PublishedMay 6, 2026 at 4:00 AM
▲bullish

MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2602.05048v2 Announce Type: replace Abstract: Joint planning through language-based interactions is a key area of human-AI teaming. Planning problems in the open world often involve various aspects of incomplete information and unknowns, e.g., objects involved, human goals/intents -- thus lead

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Discussion
Mentioned models
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    Minimal Information Neuro-Symbolic Tree (MINT)
  • 02
    LLM
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arxiv
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Tags
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#human-ai-teaming#planning#neuro-symbolic

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Mentioned models
02
  • 01
    Minimal Information Neuro-Symbolic Tree (MINT)
  • 02
    LLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#human-ai-teaming#planning#neuro-symbolic
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