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Harnessing LLMs for Reliable Academic Supervision: A Comparative Study

Large language models routinely produce fluent answers to single-shot prompts, yet deploying them as reliable components of a domain decision system is substantially harder. Closing this gap is the work of harness engineering: the deliberat

https://arxiv.org/abs/2607.14707v1 ↗
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”

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