4 citations · 8 across the 8 of their papers we have counts for
4 papers · 1 filter
AGC-Bench: Measuring Artificial General Creativity
Roger Beaty, Vijeta Deshpande, Clin K. Y. Lai +9
Creativity research has debated whether creativity is domain-specific (e.g., visual, writing, science), and if it is psychometrically separable from general intelligence. Both ques…
Playing with Words, Improving with Rewards: Training Language Models for Creative Association
Vijeta Deshpande, Namrata Shivagunde, Sherin Muckatira +5
Large Language Models (LLMs) are being applied to increasingly difficult problems and use cases. To navigate their vast solution spaces effectively, LLMs need to be creative. Yet t…
Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning
Philipp Hellwig, Willem Zuidema, Claire E. Stevenson +1
Analogical reasoning is a hallmark of human intelligence, enabling us to solve new problems by transferring knowledge from one situation to another. Yet, developing artificial inte…
Causality Invariance: Function and Concept Vectors in LLMs
Gustaw Opiełka, Hannes Rosenbusch, Claire E. Stevenson
Do large language models (LLMs) represent concepts abstractly, i.e., independent of input format? We revisit Function Vectors (FVs), compact representations of in-context learning…