4 citations
2 papers
cs.CL2023★ 4 cited
Deep Natural Language Feature Learning for Interpretable Prediction
Felipe Urrutia, Cristian Buc, Valentin Barriere
We propose a general method to break down a main complex task into a set of intermediary easier sub-tasks, which are formulated in natural language as binary questions related to t…
cs.CL2023★ 1 cited
Large Language Models are biased to overestimate profoundness
Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá +2
Recent advancements in natural language processing by large language models (LLMs), such as GPT-4, have been suggested to approach Artificial General Intelligence. And yet, it is s…