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Found 4 papers, 2 papers with code
An Interdisciplinary Outlook on Large Language Models for Scientific Research
In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision.
Genetic Improvement in the Shackleton Framework for Optimizing LLVM Pass Sequences
In this paper, we present the novel use of genetic improvement to find problem-specific optimized LLVM pass sequences.
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
In this paper we introduce Shackleton as a generalized framework enabling the application of linear genetic programming -- a technique under the umbrella of evolutionary algorithms -- to a variety of use cases.
The Factory Must Grow: Automation in Factorio
Efficient optimization of resources is paramount to success in many problems faced today.
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