Logan Weber

2 accepted papers

2026

Sharing State Between Prompts and Programs

Ellie Y Cheng, Logan Weber, Tian Jin, Michael Carbin

ICLR 2026poster

The rise of large language models (LLMs) has introduced a new type of programs: Natural language programs. By writing prompts directing LLMs to perform natural language processing, code generation, reasoning, etc., LLM users are writing code in natural language for the LLM to execute. An emerging t…

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2024

Learning to Compile Programs to Neural Networks

Logan Weber, Jesse Michel, Alex Renda, Michael Carbin

ICML 2024poster

A *neural surrogate* is a neural network that mimics the behavior of a program. Neural surrogates of programs have been used to automatically tune program inputs, adapt programs to new settings, and accelerate computations. Neural surrogates have traditionally been developed by training on input-out…

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