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YUKTI: From Natural-Language Situations to Robust, Verifiable Decisions An Uncertainty-Typed Proposition IR, Assumption-Robust Pareto Frontiers, and a Regret Certificate

The authors introduce YUKTI, a framework designed to translate natural-language scenarios into robust, verifiable mathematical plans while accounting for uncertainty.

Impact
35/100
Current rank score
1.97
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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