Workshop on Unstructured Data and Language Models, 2025
Ross School of Business, University of Michigan | May 22 - 23, 2025
Ann Arbor, Michigan
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Welcome to the 2nd 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.
The workshop will start with a welcome dinner on May 22, Thursday evening, followed on May 23, Friday by research presentations. Breakfast and lunch will be provided. Seats are limited.
Session 1: LLM and Public Sector Operations (May 23, Friday, 8:30-10am)
Victor DeMiguel (London Business School), Javier Gil-Bazo, Milind Goel
Victor DeMiguel (London Business School), Javier Gil-Bazo, Milind Goel
Legislator Tweets About the Green Transition and the Returns of Green versus Brown Stocks
Hamsa Bastani (University of Pennsylvania), Osbert Bastani, Angel Chung, Haosen Ge
Hamsa Bastani (University of Pennsylvania), Osbert Bastani, Angel Chung, Haosen Ge
Adversarial Examples Improve Human-AI Collaboration
Shany Azaria (University of Toronto), Opher Baron, Dmitry Krass, Charlotte Alexander
Shany Azaria (University of Toronto), Opher Baron, Dmitry Krass, Charlotte Alexander
Access to Data for Access to Justice: Unpacking Judicial Congestion Using an Event Log
Session 2: AI and Decision Making (May 23, Friday, 10:30-12pm)
Tinglong Dai (Johns Hopkins University), Terry Taylor
Tinglong Dai (Johns Hopkins University), Terry Taylor
Enterprise AI Design: Hallucination, Creativity, and Moral Hazard
Faidra Monachou (Yale University), Hemanshu Das, Sofoklis Goulas
Faidra Monachou (Yale University), Hemanshu Das, Sofoklis Goulas
Students Choose Human Counselors Over Algorithms in College Applications, but Not Always
Sandeep Chitla (New York University), Srikanth Jagabathula, Vidyadhar Mudium, Shubha Shedthikere
Sandeep Chitla (New York University), Srikanth Jagabathula, Vidyadhar Mudium, Shubha Shedthikere
Consumers’ Cart-Building Behavior in Online Grocery: A Structural Approach Using Generative AI
Session 3: Methodological Innovations (May 23, Friday, 1-2pm)
Tong Guo (Duke University), Boya Xu, Anqi Zhao
Tong Guo (Duke University), Boya Xu, Anqi Zhao
When the Bartik IVs Meet Topic Models: A Principled Approach to Causal Inference with Unstructured Data
Sebastien Martin (Northwestern University), Joshua Drossman, Alexandre Jacquillat
Sebastien Martin (Northwestern University), Joshua Drossman, Alexandre Jacquillat
Building Interactive Decision-Support Systems with Large Language Models and Optimization
Session 4: Field Experiments with LLM (May 23, Friday, 2:30-3:30pm)
Ruihao Zhu (Cornell University), Vishal Guar, Bolin Song
Ruihao Zhu (Cornell University), Vishal Guar, Bolin Song
Can LLM Chatbots Replace Flow-Driven NLP Chatbots in Customer Service
Jing Wu (Chinese University of Hong Kong), Jincheng Fang, Jia Liu, Ying Liu
Jing Wu (Chinese University of Hong Kong), Jincheng Fang, Jia Liu, Ying Liu
Decoding the Sales Impact of Persuasive Strategies in Livestream Selling
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