Background motion silences awareness of foreground change. - Jordan W. Suchow; George A. Alvarez (SIGGRAPH Posters, 2011)

Deciding to Remember: Memory Maintenance as a Markov Decision Process. - Jordan W. Suchow; Tom Griffiths 001 (CogSci, 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 001 (CogSci, 2016)

Design from Zeroth Principles. - Jordan W. Suchow; Michael D. Pacer; Thomas L. Griffiths 001 (CogSci, 2016)

Linting science prose and the science of prose linting. - Michael D. Pacer; Jordan W. Suchow (SciPy, 2016)

Empirical tests of large-scale collaborative recall. - Monica A. Gates; Jordan W. Suchow; Thomas L. Griffiths 001 (CogSci, 2017)

Uncovering visual priors in spatial memory using serial reproduction. - Thomas Langlois; Nori Jacoby; Jordan W. Suchow; Thomas L. Griffiths 001 (CogSci, 2017)

Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. - Alexandra Paxton; Thomas J. H. Morgan; Jordan W. Suchow; Tom Griffiths 001 (CogSci, 2018)

Learning a face space for experiments on human identity. - Jordan W. Suchow; Joshua C. Peterson; Tom Griffiths 001 (CogSci, 2018)

Capturing Human Category Representations by Sampling in Deep Feature Spaces. - Joshua C. Peterson; Krisha Aghi; Jordan W. Suchow; Alexander Y. Ku; Tom Griffiths 001 (ICLR (Workshop), 2018)

Adaptive Sampling for Convex Regression. - Max Simchowitz; Kevin G. Jamieson; Jordan W. Suchow; Thomas L. Griffiths 001 (CoRR, 2018)

Automated cognitive modeling with Bayesian active model selection. - Vishal Lall; Jordan W. Suchow; Gustavo Malkomes; Tom Griffiths 001 (CogSci, 2019)

Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. - Thomas Langlois; Nori Jacoby; Jordan W. Suchow; Tom Griffiths 001 (CogSci, 2019)

Learning to calibrate age estimates. - Jordan W. Suchow (CogSci, 2019)

nbgrader v0.5.5. - Project Jupyter; Douglas Blank; David Bourgin; Alexander Brown; Matthias Bussonnier; Jonathan Frederic; Brian E. Granger; Thomas L. Griffiths 001; Jessica B. Hamrick; Kyle Kelley; Michael Pacer; Logan Page; et al. (Zenodo, 2019)

The Adaptive Glasgow Face-Matching Task. - Necdet Gurkan; Jordan W. Suchow (CogSci, 2020)

An empirical estimate of the dimensionality of face space. - Jared Pincus; Jordan W. Suchow (CogSci, 2020)

Workshop on Scaling Cognitive Science. - Jordan W. Suchow; Tom Griffiths 001; Joshua K. Hartshorne (CogSci, 2020)

Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset. - Necdet Gurkan; Jordan W. Suchow (CoRR, 2021)

Learning and enforcing a cultural consensus in online communities. - Necdet Gurkan; Jordan W. Suchow (CogSci, 2022)

The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club. - Jordan W. Suchow; Vahid Ashrafimoghari (CogSci, 2022)

The Design and Operation of Digital Platforms under Folk Theories of Sociotechnical Systems. - Jordan W. Suchow; Lea Burton; Vahid Ashrafimoghari (AMCIS, 2023)

Predicting judgments of food healthiness with deep latent-construct cultural consensus theory. - Necdet Gurkan; Jordan W. Suchow (CogSci, 2023)

Coincidental Generation. - Jordan W. Suchow; Necdet Gürkan (CoRR, 2023)

The Design and Operation of Digital Platform under Sociotechnical Folk Theories. - Jordan W. Suchow; Lea Burton; Vahid Ashrafimoghari (CoRR, 2023)

Actively learning a Bayesian matrix fusion model with deep side information. - Yangyang Yu; Jordan W. Suchow (CoRR, 2023)

Harnessing Collective Intelligence Under a Lack of Cultural Consensus. - Necdet Gürkan; Jordan W. Suchow (CoRR, 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)

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 (AAAI Spring Symposia, 2024)

Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. - Necdet Gurkan; Jordan W. Suchow (HICSS, 2024)

Introduction to the Minitrack on Cognitive and Neuroscience Research in IS. - Jia Shen; Jerry Fjermestad; Jordan W. Suchow (HICSS, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yuechen Jiang; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Zhenyu Cui; Rong Liu; Zhaozhuo Xu; Denghui Zhang; et al. (NeurIPS, 2024)

Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education. - Vahid Ashrafimoghari; Necdet Gürkan; Jordan W. Suchow (CoRR, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Rong Liu; Zhenyu Cui; Denghui Zhang; Koduvayur Subbalakshmi; Guojun Xiong; et al. (CoRR, 2024)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. - Qianqian Xie; Dong Li; Mengxi Xiao; Zihao Jiang 012; Ruoyu Xiang; Xiao Zhang; Zhengyu Chen; Yueru He; Weiguang Han; Yuzhe Yang 002; Shunian Chen; Yifei Zhang; et al. (CoRR, 2024)

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 005; Koduvayur Subbalakshmi; Guojun Xiong; Jimin Huang; Lingfei Qian; et al. (CoRR, 2024)

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 005; K. P. Subbalakshmi; Jimin Huang; Lingfei Qian; Xueqing Peng; et al. (ACL (1), 2025)

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 001; Yuechen Jiang; Dong Li; Ruey-Ling Weng; Jordan W. Suchow (COLING Workshops, 2025)

Replicating Human Social Perception in Generative AI: Evaluating the Valence-Dominance Model. - Necdet Gurkan; Kimathi Njoki; Jordan W. Suchow (CoRR, 2025)

Truth Neurons. - Haohang Li; Yupeng Cao; Yangyang Yu; Jordan W. Suchow; Zining Zhu 005 (CoRR, 2025)