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ORCIDDesmond C. Ong
Person information
- affiliation: University of Texas at Austin, Department of Psychology, TX, USA
- affiliation (former): National University of Singapore, Institute of High Performance Computing, Singapore
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2020 – today
- 2024
[i21]Yoon Kyung Lee, Jina Suh, Hongli Zhan, Junyi Jessy Li, Desmond C. Ong:
Large Language Models Produce Responses Perceived to be Empathic. CoRR abs/2403.18148 (2024)- [i20]Hongli Zhan, Allen Zheng, Yoon Kyung Lee, Jina Suh, Junyi Jessy Li, Desmond C. Ong:
Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided. CoRR abs/2404.01288 (2024) - 2023
- [c25]Hongli Zhan, Desmond C. Ong, Junyi Jessy Li:
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models. EMNLP (Findings) 2023: 14418-14446 - [e1]Micah B. Goldwater, Florencia K. Anggoro, Brett K. Hayes, Desmond C. Ong:
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, CogSci 2023, Sydney, NSW, Australia, July 26-29, 2023. cognitivesciencesociety.org 2023 [contents] - [i19]Varsha Suresh, Desmond C. Ong:
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition. CoRR abs/2303.04896 (2023) - [i18]Hongli Zhan, Desmond C. Ong, Junyi Jessy Li:
Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models. CoRR abs/2310.14389 (2023) - 2022
- [c24]Varsha Suresh, Desmond C. Ong
:
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition. ACII 2022: 1-8 - [c23]Sean D. Houlihan, Desmond C. Ong, Maddie Cusimano, Rebecca Saxe:
Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind. CogSci 2022 - [c22]Dennis W. H. Teo, Zheng Yong Ang, Desmond C. Ong:
Modeling Causal Inference from Emotional Displays. CogSci 2022 - 2021
- [j4]Thanh-Son Nguyen, Zhengxuan Wu, Desmond C. Ong:
Attention uncovers task-relevant semantics in emotional narrative understanding. Knowl. Based Syst. 226: 107162 (2021) - [j3]Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman:
Applying Probabilistic Programming to Affective Computing. IEEE Trans. Affect. Comput. 12(2): 306-317 (2021) - [j2]Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki:
Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset. IEEE Trans. Affect. Comput. 12(3): 579-594 (2021) - [c21]Zhengxuan Wu, Desmond C. Ong:
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. AAAI 2021: 14094-14102 - [c20]Desmond C. Ong:
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence. ACII 2021: 1-8 - [c19]Varsha Suresh, Desmond C. Ong:
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. ACII 2021: 1-8 - [c18]Desmond C. Ong, Mika Asaba, Hui Yan Lim, Patricia Chen, Hyowon Gweon:
"If only Santa had one more present": Exploring the development of near-miss counterfactual reasoning. CogSci 2021 - [c17]Dennis W. H. Teo, Desmond C. Ong:
Learning from Agentic Actions: Modelling Causal Inference from Intention. CogSci 2021 - [c16]Yang Wu, Desmond C. Ong, Hyowon Gweon:
Interdisciplinary Advances in Affective Cognition. CogSci 2021 - [c15]Varsha Suresh, Desmond C. Ong:
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification. EMNLP (1) 2021: 4381-4394 - [c14]Yi Lai, Atreyi Kankanhalli, Desmond C. Ong:
Human-AI Collaboration in Healthcare: A Review and Research Agenda. HICSS 2021: 1-10 - [c13]Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. NeurIPS Datasets and Benchmarks 2021 - [i17]Zhengxuan Wu, Desmond C. Ong:
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification. CoRR abs/2101.00196 (2021) - [i16]Yan San Kong, Varsha Suresh, Jonathan Soh, Desmond C. Ong:
A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition. CoRR abs/2106.15453 (2021) - [i15]Desmond C. Ong:
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence. CoRR abs/2107.13734 (2021) - [i14]Varsha Suresh, Desmond C. Ong:
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. CoRR abs/2108.00194 (2021) - [i13]Varsha Suresh, Desmond C. Ong:
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification. CoRR abs/2109.05427 (2021) - [i12]Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong, Christopher Potts:
ReaSCAN: Compositional Reasoning in Language Grounding. CoRR abs/2109.08994 (2021) - 2020
- [c12]Zhi-Xuan Tan, Harold Soh, Desmond C. Ong:
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. AAAI 2020: 10334-10341 - [c11]Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong:
Structured Self-AttentionWeights Encode Semantics in Sentiment Analysis. BlackboxNLP@EMNLP 2020: 255-264 - [c10]Terence X. Lim, Sidney Tio, Desmond C. Ong:
Improving Multi-Agent Cooperation using Theory of Mind. CogSci 2020 - [c9]Desmond C. Ong, Marie Therese Quieta, Basura Fernando:
Intention Inference in a Dynamic Multi-Goal Environment. CogSci 2020 - [i11]Terence X. Lim, Sidney Tio, Desmond C. Ong:
Improving Multi-Agent Cooperation using Theory of Mind. CoRR abs/2007.15703 (2020) - [i10]Zhengxuan Wu, Desmond C. Ong:
Pragmatically Informative Color Generation by Grounding Contextual Modifiers. CoRR abs/2010.04372 (2020) - [i9]Zhengxuan Wu, Thanh-Son Nguyen, Desmond C. Ong:
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis. CoRR abs/2010.04922 (2020) - [i8]Zhengxuan Wu, Desmond C. Ong:
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. CoRR abs/2010.07523 (2020)
2010 – 2019
- 2019
- [j1]Desmond C. Ong, Jamil Zaki, Noah D. Goodman:
Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap. Top. Cogn. Sci. 11(2): 338-357 (2019) - [c8]Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong:
Attending to Emotional Narratives. ACII 2019: 648-654 - [c7]Zhi-Xuan Tan, Desmond C. Ong:
Bayesian Inference of Social Norms as Shared Constraints on Behavior. CogSci 2019: 2919-2925 - [c6]Zhi-Xuan Tan, Arushi Goel, Thanh-Son Nguyen, Desmond C. Ong:
A Multimodal LSTM for Predicting Listener Empathic Responses Over Time. FG 2019: 1-4 - [c5]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI 2019: 39-47 - [i7]Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman:
Applying Probabilistic Programming to Affective Computing. CoRR abs/1903.06445 (2019) - [i6]Zhi-Xuan Tan, Desmond C. Ong:
Bayesian Inference of Social Norms as Shared Constraints on Behavior. CoRR abs/1905.11110 (2019) - [i5]Zhi-Xuan Tan, Harold Soh, Desmond C. Ong:
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series. CoRR abs/1905.13570 (2019) - [i4]Zhengxuan Wu, Xiyu Zhang, Zhi-Xuan Tan, Jamil Zaki, Desmond C. Ong:
Attending to Emotional Narratives. CoRR abs/1907.04197 (2019) - [i3]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR abs/1909.05329 (2019) - [i2]Desmond C. Ong, Zhengxuan Wu, Zhi-Xuan Tan, Marianne Reddan, Isabella Kahhale, Alison Mattek, Jamil Zaki:
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. CoRR abs/1912.05008 (2019) - 2018
- [i1]Zhi-Xuan Tan, Arushi Goel, Thanh-Son Nguyen, Desmond C. Ong:
A Multimodal LSTM for Predicting Listener Empathic Responses Over Time. CoRR abs/1812.04891 (2018) - 2016
- [c4]Desmond C. Ong, Mika Asaba, Hyowon Gweon:
Young children and adults integrate past expectations and current outcomes to reason about others' emotions. CogSci 2016 - [c3]Desmond C. Ong, Jamil Zaki, Noah D. Goodman:
Emotions in lay explanations of behavior. CogSci 2016 - 2015
- [c2]Desmond C. Ong, Noah D. Goodman, Jamil Zaki:
Near-misses sting even when they are uncontrollable. CogSci 2015 - 2014
- [c1]Desmond C. Ong, Jamil Zaki, Noah D. Goodman:
Understanding Affective Cognition: Frontiers in modeling reasoning about others' emotions. CogSci 2014
Coauthor Index
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