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cs.CL2024
Learning the Latent Rules of a Game from Data: A Chess Story
Ben Fauber
We demonstrate that small pretrained foundational generative language models with millions of parameters can learn the latent rules of a process from data associated with the proce…
cs.CL2024
Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks
Ben Fauber
We propose that small pretrained foundational generative language models with millions of parameters can be utilized as a general learning framework for sequence-based tasks. Our p…