3 citations · 9 across the 13 of their papers we have counts for
6 papers · 1 filter
Learning interactions to boost human creativity with bandits and GPT-4
Ara Vartanian, Xiaoxi Sun, Yun-Shiuan Chuang +3
This paper considers how interactions with AI algorithms can boost human creative thought. We employ a psychological task that demonstrates limits on human creativity, namely seman…
The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents
Yun-Shiuan Chuang, Siddharth Suresh, Nikunj Harlalka +6
Human groups are able to converge on more accurate beliefs through deliberation, even in the presence of polarization and partisan bias -- a phenomenon known as the "wisdom of part…
Simulating Opinion Dynamics with Networks of LLM-based Agents
Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka +6
Accurately simulating human opinion dynamics is crucial for understanding a variety of societal phenomena, including polarization and the spread of misinformation. However, the age…
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…