Workshop on Unstructured Data and Language Models, 2026
Ross School of Business, University of Michigan | July 20, 2026
Ann Arbor, Michigan
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Welcome to the 3rd Annual Michigan Ross
Workshop on Unstructured Data and Language Models
This workshop aims to bring together researchers from diverse fields to showcase and explore the latest research advancements at the intersection of natural language processing, generative AI, and unstructured data in Operations, Technology and Management. We welcome all methodologies, theoretical, empirical, and experimental. We hope to offer a platform for sharing insights, fostering collaborations, and advancing the state of knowledge in these rapidly evolving fields.
Also check out the 2026 INFORMS Revenue Management and Pricing Conference July 21-23, 2026, also held at Ross School of Business, University of Michigan. We look forward to welcoming you to Ann Arbor!
Monday, July 20th 2026
Monday, July 20th 2026
Session 1: Social Impact (8:00am-9:30am)
Session 1: Social Impact (8:00am-9:30am)
Somya Singhvi (USC Marshall), Joshua Ong, Divya Singhvi
Somya Singhvi (USC Marshall), Joshua Ong, Divya Singhvi
Can Generative AI Voice Improve Productivity? Experimental Insights from Indian Artisans
Samantha Keppler (University of Michigan), Clare Snyder, Park Sinchaisri
Samantha Keppler (University of Michigan), Clare Snyder, Park Sinchaisri
The Teacher’s Knapsack:Generative AI and Teacher Productivity
Huifeng Su (Yale University), Lesley Meng, Edieal J. Pinker
Huifeng Su (Yale University), Lesley Meng, Edieal J. Pinker
Reuniting Forcibly Separated Families Through Shared Memories with Machine Learning
Session 2: Theoretical Innovation (10:00am-11:30am)
Session 2: Theoretical Innovation (10:00am-11:30am)
X.Y. Han (University of Chicago), Yuan Zhong
X.Y. Han (University of Chicago), Yuan Zhong
A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
Jackie Baek (New York University), Yaopeng Fu, Will Ma, Tianyi Peng
Jackie Baek (New York University), Yaopeng Fu, Will Ma, Tianyi Peng
AI Agents for Inventory Control: Human-LLM-OR Complementarity
Dan Zhang (University of Colorado Boulder), Liu Liu
Dan Zhang (University of Colorado Boulder), Liu Liu
Tabular Foundation Models for Discrete Choice Estimation
Panel Discussion: AI's Impact on Research and OM Community and The Role of Researchers (12:30pm-1:50pm)
Panel Discussion: AI's Impact on Research and OM Community and The Role of Researchers (12:30pm-1:50pm)
Wedad J. Elmaghraby
Wedad J. Elmaghraby
(University of Maryland)
Andrew Davis
Andrew Davis
(Cornell University)
Marcelo Olivares
Marcelo Olivares
(University of Chile)
Mohsen Bayati
Mohsen Bayati
(Stanford University)
Maxime Cohen
Maxime Cohen
(McGill University)
Session 3: Retail (2:30pm-3:30pm)
Session 3: Retail (2:30pm-3:30pm)
Akshit Kumar (Yale University), Amine Allouah, Omar Besbes, Josue Figueroa, Yash Kanoria
Akshit Kumar (Yale University), Amine Allouah, Omar Besbes, Josue Figueroa, Yash Kanoria
What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
Nil Karacaoglu (Ohio State University), Santiago Gallino, Antonio Moreno
Nil Karacaoglu (Ohio State University), Santiago Gallino, Antonio Moreno
Beyond Keywords: Impact of LLM-Powered Search in Online Marketplaces
Session 4: Field and Lab Experiments (4:00pm-5:00pm)
Session 4: Field and Lab Experiments (4:00pm-5:00pm)
Yao Cui (Cornell University), Sandeep Chitla, Qi Li
Yao Cui (Cornell University), Sandeep Chitla, Qi Li
Designing LLM-Based Assistance for Expert Workflows: Evidence from a Clinical Field Experiment
Abhishek Deshmane (Georgia Tech), Diwas KC
Abhishek Deshmane (Georgia Tech), Diwas KC
Dali or Dall-E? Consumer Perception of Human versus AI Creative Processes
Dinner Reception (6-8:30pm)
Dinner Reception (6-8:30pm)
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