| 2025 | ACL | INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. | Haohang Li, Yupeng Cao, Yangyang Yu, Shashidhar Reddy Javaji, Zhiyang Deng, Yueru He, Yuechen Jiang, Zining Zhu, K. P. Subbalakshmi, Jimin Huang, Lingfei Qian, Xueqing Peng, Jordan W. Suchow, Qianqian Xie |
| 2025 | COLING | FinNLP-FNP-LLMFinLegal @ COLING 2025 Shared Task: Agent-Based Single Cryptocurrency Trading Challenge. | Yangyang Yu, Haohang Li, Yupeng Cao, Keyi Wang, Zhiyang Deng, Zhiyuan Yao, Yuechen Jiang, Dong Li, Ruey-Ling Weng, Jordan W. Suchow |
| 2024 | CogSci | Actively learning a Bayesian matrix fusion model with deep side information. | Yangyang Yu, Jordan W. Suchow |
| 2023 | CogSci | Predicting judgments of food healthiness with deep latent-construct cultural consensus theory. | Necdet Gurkan, Jordan W. Suchow |
| 2022 | CogSci | Learning and enforcing a cultural consensus in online communities. | Necdet Gurkan, Jordan W. Suchow |
| 2022 | CogSci | The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club. | Jordan W. Suchow, Vahid Ashrafimoghari |
| 2020 | CogSci | The Adaptive Glasgow Face-Matching Task. | Necdet Gurkan, Jordan W. Suchow |
| 2020 | CogSci | An empirical estimate of the dimensionality of face space. | Jared Pincus, Jordan W. Suchow |
| 2020 | CogSci | Workshop on Scaling Cognitive Science. | Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne |
| 2019 | CogSci | Automated cognitive modeling with Bayesian active model selection. | Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths |
| 2019 | CogSci | Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. | Thomas A. Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths |
| 2019 | CogSci | Learning to calibrate age estimates. | Jordan W. Suchow |
| 2018 | CogSci | Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. | Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths |
| 2018 | CogSci | Capturing human category representations by sampling in deep feature spaces. | Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths |
| 2018 | CogSci | Learning a face space for experiments on human identity. | Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths |
| 2018 | ICLR | Capturing Human Category Representations by Sampling in Deep Feature Spaces. | Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths |
| 2017 | CogSci | Empirical tests of large-scale collaborative recall. | Monica A. Gates, Jordan W. Suchow, Thomas L. Griffiths |
| 2017 | CogSci | Uncovering visual priors in spatial memory using serial reproduction. | Thomas A. Langlois, Nori Jacoby, Jordan W. Suchow, Thomas L. Griffiths |
| 2016 | CogSci | Deciding to Remember: Memory Maintenance as a Markov Decision Process. | Jordan W. Suchow, Tom Griffiths |
| 2016 | CogSci | 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 |
| 2016 | CogSci | Design from Zeroth Principles. | Jordan W. Suchow, Michael D. Pacer, Thomas L. Griffiths |
| 2011 | SIGGRAPH | Background motion silences awareness of foreground change. | Jordan W. Suchow, George A. Alvarez |