Search Results for author: Kushin Mukherjee

Found 5 papers, 1 papers with code

Semantic Feature Verification in FLAN-T5

no code implementations12 Apr 2023 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 science.

Language Modelling Large Language Model +2

Human-machine cooperation for semantic feature listing

no code implementations11 Apr 2023 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 labor.

Conceptual structure coheres in human cognition but not in large language models

no code implementations5 Apr 2023 Siddharth Suresh, Kushin Mukherjee, Xizheng Yu, Wei-Chun Huang, Lisa Padua, Timothy T Rogers

Neural network models of language have long been used as a tool for developing hypotheses about conceptual representation in the mind and brain.

Cultural Vocal Bursts Intensity Prediction

How does task structure shape representations in deep neural networks?

no code implementations NeurIPS Workshop SVRHM 2020 Kushin Mukherjee, Timothy T. Rogers

While modern deep convolutional neural networks can be trained to perform at human levels of object recognition and learn visual features in the process, humans use vision for a host of tasks beyond object recognition including — drawing, acting, and making propositional statements.

Decoder Object Recognition

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