Jordan W. Suchow

According to our database, Jordan W. Suchow authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

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

CoRR, 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.

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

CoRR, 2024

Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education.

Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow

CoRR, 2024

Introduction to the Minitrack on Cognitive and Neuroscience Research in IS.

Jia Shen, Jerry Fjermestad, Jordan W. Suchow

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory.

Necdet Gurkan, Jordan W. Suchow

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design.

Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design.

Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah

CoRR, 2023

Harnessing Collective Intelligence Under a Lack of Cultural Consensus.

Necdet Gürkan, Jordan W. Suchow

CoRR, 2023

Actively learning a Bayesian matrix fusion model with deep side information.

Yangyang Yu, Jordan W. Suchow

CoRR, 2023

The Design and Operation of Digital Platform under Sociotechnical Folk Theories.

Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari

CoRR, 2023

Coincidental Generation.

Jordan W. Suchow, Necdet Gürkan

CoRR, 2023

Predicting judgments of food healthiness with deep latent-construct cultural consensus theory.

Necdet Gurkan, Jordan W. Suchow

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

The Design and Operation of Digital Platforms under Folk Theories of Sociotechnical Systems.

Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club.

Jordan W. Suchow, Vahid Ashrafimoghari

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Learning and enforcing a cultural consensus in online communities.

Necdet Gurkan, Jordan W. Suchow

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset.

Necdet Gurkan, Jordan W. Suchow

CoRR, 2021

2020

Workshop on Scaling Cognitive Science.

Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

An empirical estimate of the dimensionality of face space.

Jared Pincus, Jordan W. Suchow

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

The Adaptive Glasgow Face-Matching Task.

Necdet Gurkan, Jordan W. Suchow

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

nbgrader v0.5.5.

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

Dataset, January, 2019

Learning to calibrate age estimates.

Jordan W. Suchow

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction.

Thomas Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Automated cognitive modeling with Bayesian active model selection.

Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Adaptive Sampling for Convex Regression.

Max Simchowitz, Kevin G. Jamieson, Jordan W. Suchow, Thomas L. Griffiths

CoRR, 2018

Capturing Human Category Representations by Sampling in Deep Feature Spaces.

Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning a face space for experiments on human identity.

Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction.

Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Uncovering visual priors in spatial memory using serial reproduction.

Thomas Langlois, Nori Jacoby, Jordan W. Suchow, Thomas L. Griffiths

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Empirical tests of large-scale collaborative recall.

Monica A. Gates, Jordan W. Suchow, Thomas L. Griffiths

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Linting science prose and the science of prose linting.

Michael D. Pacer, Jordan W. Suchow

Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

Design from Zeroth Principles.

Jordan W. Suchow, Michael D. Pacer, Thomas L. Griffiths

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing.

Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Deciding to Remember: Memory Maintenance as a Markov Decision Process.

Jordan W. Suchow, Tom Griffiths

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2011

Background motion silences awareness of foreground change.

Jordan W. Suchow, George A. Alvarez

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2011