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ORCIDJordan W. Suchow
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2020 – today
- 2024
[c24]Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah:
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design. AAAI Spring Symposia 2024: 595-597- [c23]Necdet Gurkan, Jordan W. Suchow:
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. HICSS 2024: 713-722 - [c22]Jia Shen, Jerry Fjermestad, Jordan W. Suchow:
Introduction to the Minitrack on Cognitive and Neuroscience Research in IS. HICSS 2024: 913 - [i13]Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow:
Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education. CoRR abs/2401.02985 (2024) - [i12]Necdet Gurkan, Jordan W. Suchow:
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. CoRR abs/2402.00029 (2024) - [i11]Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie:
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. CoRR abs/2407.06567 (2024) - [i10]Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou:
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR abs/2408.11878 (2024) - 2023
- [c21]Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari:
The Design and Operation of Digital Platforms under Folk Theories of Sociotechnical Systems. AMCIS 2023 - [c20]Necdet Gurkan, Jordan W. Suchow:
Predicting judgments of food healthiness with deep latent-construct cultural consensus theory. CogSci 2023 - [i9]Jordan W. Suchow, Necdet Gürkan:
Coincidental Generation. CoRR abs/2304.01108 (2023) - [i8]Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari:
The Design and Operation of Digital Platform under Sociotechnical Folk Theories. CoRR abs/2305.03291 (2023) - [i7]Yangyang Yu, Jordan W. Suchow:
Actively learning a Bayesian matrix fusion model with deep side information. CoRR abs/2306.05331 (2023) - [i6]Necdet Gürkan, Jordan W. Suchow:
Harnessing Collective Intelligence Under a Lack of Cultural Consensus. CoRR abs/2309.09787 (2023) - [i5]Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah:
FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. CoRR abs/2311.13743 (2023) - 2022
- [c19]Necdet Gurkan, Jordan W. Suchow:
Learning and enforcing a cultural consensus in online communities. CogSci 2022 - [c18]Jordan W. Suchow, Vahid Ashrafimoghari:
The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club. CogSci 2022 - 2021
- [i4]Necdet Gurkan, Jordan W. Suchow:
Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset. CoRR abs/2111.00660 (2021) - 2020
- [c17]Necdet Gurkan, Jordan W. Suchow:
The Adaptive Glasgow Face-Matching Task. CogSci 2020 - [c16]Jared Pincus, Jordan W. Suchow:
An empirical estimate of the dimensionality of face space. CogSci 2020 - [c15]Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne:
Workshop on Scaling Cognitive Science. CogSci 2020
2010 – 2019
- 2019
- [c14]Thomas Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths:
Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. CogSci 2019: 2078-2083 - [c13]Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths:
Automated cognitive modeling with Bayesian active model selection. CogSci 2019: 3503 - [c12]Jordan W. Suchow:
Learning to calibrate age estimates. CogSci 2019: 3583 - [d1]Project Jupyter, Douglas Blank
, David Bourgin, Alexander Brown, Matthias Bussonnier, Jonathan Frederic, Brian E. Granger, Thomas L. Griffiths, Jessica B. Hamrick, Kyle Kelley, Michael Pacer, Logan Page, Fernando Pérez, Benjamin Ragan-Kelley, Jordan W. Suchow, Carol Willing:
nbgrader v0.5.5. Zenodo, 2019
- 2018
- [c11]Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths:
Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. CogSci 2018 - [c10]Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths:
Capturing human category representations by sampling in deep feature spaces. CogSci 2018 - [c9]Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths:
Learning a face space for experiments on human identity. CogSci 2018 - [c8]Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths:
Capturing Human Category Representations by Sampling in Deep Feature Spaces. ICLR (Workshop) 2018 - [i3]Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Thomas L. Griffiths:
Capturing human category representations by sampling in deep feature spaces. CoRR abs/1805.07644 (2018) - [i2]Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths:
Learning a face space for experiments on human identity. CoRR abs/1805.07653 (2018) - [i1]Max Simchowitz, Kevin G. Jamieson, Jordan W. Suchow, Thomas L. Griffiths:
Adaptive Sampling for Convex Regression. CoRR abs/1808.04523 (2018) - 2017
- [c7]Monica A. Gates, Jordan W. Suchow, Thomas L. Griffiths:
Empirical tests of large-scale collaborative recall. CogSci 2017 - [c6]Thomas Langlois, Nori Jacoby, Jordan W. Suchow, Thomas L. Griffiths:
Uncovering visual priors in spatial memory using serial reproduction. CogSci 2017 - 2016
- [c5]Jordan W. Suchow, Tom Griffiths:
Deciding to Remember: Memory Maintenance as a Markov Decision Process. CogSci 2016 - [c4]Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths:
Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing. CogSci 2016 - [c3]Jordan W. Suchow, Michael D. Pacer, Thomas L. Griffiths:
Design from Zeroth Principles. CogSci 2016 - [c2]Michael D. Pacer, Jordan W. Suchow:
Linting science prose and the science of prose linting. SciPy 2016: 90-97 - 2011
- [c1]Jordan W. Suchow, George A. Alvarez:
Background motion silences awareness of foreground change. SIGGRAPH Posters 2011: 29
Coauthor Index
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