Jordan W. Suchow

46 papers A* 1B 18Journal 17Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design. IEEE Trans. Big Data Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Jordan W. Suchow, Denghui Zhang, Khaldoun Khashanah
2025	—	`conf`	FinNLP-FNP-LLMFinLegal @ COLING 2025 Shared Task: Agent-Based Single Cryptocurrency Trading Challenge. COLING Workshops Yangyang Yu, Haohang Li, Yupeng Cao, Keyi Wang, Zhiyang Deng, Zhiyuan Yao, Yuechen Jiang, Dong Li, Ruey-Ling Weng, Jordan W. Suchow
2025	—	`conf`	INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. ACL (1) 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	—	`conf`	Introduction to the Minitrack on Cognitive and Neuroscience Research in IS. HICSS Jerry Fjermestad, Jordan W. Suchow, Jia Shen
2025	J	`jnl`	Replicating Human Social Perception in Generative AI: Evaluating the Valence-Dominance Model. CoRR Necdet Gurkan, Kimathi Njoki, Jordan W. Suchow
2025	J	`jnl`	Truth Neurons. CoRR Haohang Li, Yupeng Cao, Yangyang Yu, Jordan W. Suchow, Zining Zhu
2024	B	`conf`	Actively learning a Bayesian matrix fusion model with deep side information. CogSci Yangyang Yu, Jordan W. Suchow
2024	J	`jnl`	Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education. CoRR Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow
2024	—	`conf`	Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. HICSS Necdet Gurkan, Jordan W. Suchow
2024	J	`jnl`	Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory. CoRR Necdet Gurkan, Jordan W. Suchow
2024	A*	`conf`	FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. NeurIPS Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
2024	J	`jnl`	FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. CoRR 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
2024	—	`conf`	FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design. AAAI Spring Symposia Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
2024	J	`jnl`	INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. CoRR Haohang Li, Yupeng Cao, Yangyang Yu, Shashidhar Reddy Javaji, Zhiyang Deng, Yueru He, Yuechen Jiang, Zining Zhu, Koduvayur Subbalakshmi, Guojun Xiong, Jimin Huang, Lingfei Qian, Xueqing Peng, Qianqian Xie, Jordan W. Suchow
2024	—	`conf`	Introduction to the Minitrack on Cognitive and Neuroscience Research in IS. HICSS Jia Shen, Jerry Fjermestad, Jordan W. Suchow
2024	J	`jnl`	Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR 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 E. Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou
2023	J	`jnl`	Actively learning a Bayesian matrix fusion model with deep side information. CoRR Yangyang Yu, Jordan W. Suchow
2023	J	`jnl`	Coincidental Generation. CoRR Jordan W. Suchow, Necdet Gürkan
2023	J	`jnl`	FinMe: A Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. CoRR Yangyang Yu, Haohang Li, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah
2023	J	`jnl`	Harnessing Collective Intelligence Under a Lack of Cultural Consensus. CoRR Necdet Gürkan, Jordan W. Suchow
2023	B	`conf`	Predicting judgments of food healthiness with deep latent-construct cultural consensus theory. CogSci Necdet Gurkan, Jordan W. Suchow
2023	J	`jnl`	The Design and Operation of Digital Platform under Sociotechnical Folk Theories. CoRR Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari
2023	—	`conf`	The Design and Operation of Digital Platforms under Folk Theories of Sociotechnical Systems. AMCIS Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari
2022	B	`conf`	Learning and enforcing a cultural consensus in online communities. CogSci Necdet Gurkan, Jordan W. Suchow
2022	B	`conf`	The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club. CogSci Jordan W. Suchow, Vahid Ashrafimoghari
2021	J	`jnl`	Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset. CoRR Necdet Gurkan, Jordan W. Suchow
2020	B	`conf`	An empirical estimate of the dimensionality of face space. CogSci Jared Pincus, Jordan W. Suchow
2020	B	`conf`	The Adaptive Glasgow Face-Matching Task. CogSci Necdet Gurkan, Jordan W. Suchow
2020	B	`conf`	Workshop on Scaling Cognitive Science. CogSci Jordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne
2019	B	`conf`	Automated cognitive modeling with Bayesian active model selection. CogSci Vishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths
2019	B	`conf`	Learning to calibrate age estimates. CogSci Jordan W. Suchow
2019	B	`conf`	Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction. CogSci Thomas A. Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths
2018	J	`jnl`	Adaptive Sampling for Convex Regression. CoRR Max Simchowitz, Kevin Jamieson, Jordan W. Suchow, Thomas L. Griffiths
2018	—	`conf`	Capturing Human Category Representations by Sampling in Deep Feature Spaces. ICLR (Workshop) Joshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths
2018	B	`conf`	Capturing human category representations by sampling in deep feature spaces. CogSci Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths
2018	J	`jnl`	Capturing human category representations by sampling in deep feature spaces. CoRR Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Thomas L. Griffiths
2018	B	`conf`	Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction. CogSci Alexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths
2018	B	`conf`	Learning a face space for experiments on human identity. CogSci Jordan W. Suchow, Joshua C. Peterson, Tom Griffiths
2018	J	`jnl`	Learning a face space for experiments on human identity. CoRR Jordan W. Suchow, Joshua C. Peterson, Thomas L. Griffiths
2017	B	`conf`	Empirical tests of large-scale collaborative recall. CogSci Monica A. Gates, Jordan W. Suchow, Thomas L. Griffiths
2017	B	`conf`	Uncovering visual priors in spatial memory using serial reproduction. CogSci Thomas A. Langlois, Nori Jacoby, Jordan W. Suchow, Thomas L. Griffiths
2016	B	`conf`	Deciding to Remember: Memory Maintenance as a Markov Decision Process. CogSci Jordan W. Suchow, Tom Griffiths
2016	B	`conf`	Design from Zeroth Principles. CogSci Jordan W. Suchow, Michael D. Pacer, Thomas L. Griffiths
2016	—	`conf`	Linting science prose and the science of prose linting. SciPy Michael D. Pacer, Jordan W. Suchow
2016	B	`conf`	Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing. CogSci Jordan W. Suchow, Thomas J. H. Morgan, Jessica B. Hamrick, Michael D. Pacer, Stephan C. Meylan, Thomas L. Griffiths
2011	—	`conf`	Background motion silences awareness of foreground change. SIGGRAPH Posters Jordan W. Suchow, George A. Alvarez