activity
20192026
most citedExpressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers

179 citations · 362 across the 32 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition

Lance Ying, Jinzhou Wu, Yingshan Susan Wang +53

Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways…

cs.AI2024★ 2 cited

GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?

Desmond C. Ong

Large Language Models have taken the cognitive science world by storm. It is perhaps timely now to take stock of the various research paradigms that have been used to make scientif…

cs.AI2021

An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence

Desmond C. Ong

The recent rapid advancements in artificial intelligence research and deployment have sparked more discussion about the potential ramifications of socially- and emotionally-intelli…

cs.AI2020★ 1 cited

Improving Multi-Agent Cooperation using Theory of Mind

Terence X. Lim, Sidney Tio, Desmond C. Ong

Recent advances in Artificial Intelligence have produced agents that can beat human world champions at games like Go, Starcraft, and Dota2. However, most of these models do not see…

cs.AI2019★ 19 cited

Applying Probabilistic Programming to Affective Computing

Desmond C. Ong, Harold Soh, Jamil Zaki +1

Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emot…