Code Simulation Challenges for Large Language Models

no code implementations • 17 Jan 2024 • Emanuele La Malfa, Christoph Weinhuber, Orazio Torre, Fangru Lin, Anthony Cohn, Nigel Shadbolt, Michael Wooldridge

We investigate the extent to which Large Language Models (LLMs) can simulate the execution of computer code and algorithms.

Language Models as a Service: Overview of a New Paradigm and its Challenges

no code implementations • 28 Sep 2023 • Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael Wooldridge

This paper has two goals: on the one hand, we delineate how the aforementioned challenges act as impediments to the accessibility, replicability, reliability, and trustworthiness of LMaaS.

Benchmarking

dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts

no code implementations • 15 Jan 2021 • Pranav Ashok, Mathias Jackermeier, Jan Křetínský, Christoph Weinhuber, Maximilian Weininger, Mayank Yadav

To this end, we also provide a graphical user interface.

Decision Making