68 citations · 117 across the 17 of their papers we have counts for
4 papers · 1 filter
How to talk so AI will learn: Instructions, descriptions, and autonomy
Theodore R Sumers, Robert D Hawkins, Mark K Ho +2
From the earliest years of our lives, humans use language to express our beliefs and desires. Being able to talk to artificial agents about our preferences would thus fulfill a cen…
Words are all you need? Language as an approximation for human similarity judgments
Raja Marjieh, Pol van Rijn, Ilia Sucholutsky +4
Human similarity judgments are a powerful supervision signal for machine learning applications based on techniques such as contrastive learning, information retrieval, and model al…
Linguistic communication as (inverse) reward design
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho +2
Natural language is an intuitive and expressive way to communicate reward information to autonomous agents. It encompasses everything from concrete instructions to abstract descrip…
Predicting Human Similarity Judgments Using Large Language Models
Raja Marjieh, Ilia Sucholutsky, Theodore R. Sumers +2
Similarity judgments provide a well-established method for accessing mental representations, with applications in psychology, neuroscience and machine learning. However, collecting…