no code implementations • EMNLP (NLP+CSS) 2020 • Graham Todd, Catalin Voss, Jenny Hong
We present quantitative analysis of the results and note that our method has identified some important cases for review.
no code implementations • 17 Apr 2024 • Graham Todd, Tim Merino, Sam Earle, Julian Togelius
This is because the four categories ascend in complexity, with the most challenging category often requiring thinking about words in uncommon ways or as parts of larger phrases.
no code implementations • 28 Feb 2024 • Roberto Gallotta, Graham Todd, Marvin Zammit, Sam Earle, Antonios Liapis, Julian Togelius, Georgios N. Yannakakis
Recent years have seen an explosive increase in research on large language models (LLMs), and accompanying public engagement on the topic.
1 code implementation • 24 May 2023 • Ruoyao Wang, Graham Todd, Eric Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter Jansen
In this work, we investigate the capacity of language models to generate explicit, interpretable, and interactive world models of scientific and common-sense reasoning tasks.
no code implementations • 11 Feb 2023 • Graham Todd, Sam Earle, Muhammad Umair Nasir, Michael Cerny Green, Julian Togelius
Large Language Models (LLMs) are powerful tools, capable of leveraging their training on natural language to write stories, generate code, and answer questions.