4 citations · 12 across the 15 of their papers we have counts for
4 papers · 1 filter
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Kushin Mukherjee, Holly Huey, Xuanchen Lu +4
Sketching is a powerful tool for creating abstract images that are sparse but meaningful. Sketch understanding poses fundamental challenges for general-purpose vision algorithms be…
Semantic Feature Verification in FLAN-T5
Siddharth Suresh, Kushin Mukherjee, Timothy T. Rogers
This study evaluates the potential of a large language model for aiding in generation of semantic feature norms - a critical tool for evaluating conceptual structure in cognitive s…
Human-machine cooperation for semantic feature listing
Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers
Semantic feature norms, lists of features that concepts do and do not possess, have played a central role in characterizing human conceptual knowledge, but require extensive human…
Conceptual structure coheres in human cognition but not in large language models
Siddharth Suresh, Kushin Mukherjee, Xizheng Yu +3
Neural network models of language have long been used as a tool for developing hypotheses about conceptual representation in the mind and brain. For many years, such use involved e…