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Patrick Tser Jern Kon

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#natural language process... Preprint Oct 2026

DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck

Evaluation has been central to advances in AI, and it is equally critical to autonomous discovery. Yet scaling autonomous discovery to real-world engineering challenges faces a fundamental bottleneck: the cost of evaluating progress. In real settings, a single true evaluation, such as a full benchmark or serving trace,...

Shubham Agarwal, Akshat Gupta, M. Heddes et al. · 0 citations
#artificial intelligence Preprint Apr 2026

Interactive Clarification for Cloud Infrastructure-as-Code Synthesis

A training-free, multi-level disambiguation framework that generates diverse candidate specifications, identifies structural disagreements across these axes, ranks them by informativeness, and produces targeted clarification questions that progressively narrow the configuration space is proposed.

Zhenning Yang, Kaden Gruizenga, Tong-Yuan Miao et al. · 0 citations

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