9 citations
2 papers
cs.CL2023★ 9 cited
Large Linguistic Models: Investigating LLMs' metalinguistic abilities
Gašper Beguš, Maksymilian Dąbkowski, Ryan Rhodes
The performance of large language models (LLMs) has recently improved to the point where models can perform well on many language tasks. We show here that--for the first time--the…
stat.ML2023
Approaching an unknown communication system by latent space exploration and causal inference
Gašper Beguš, Andrej Leban, Shane Gero
This paper proposes a methodology for discovering meaningful properties in data by exploring the latent space of unsupervised deep generative models. We combine manipulation of ind…