5 papers
Position: The Pre/Post-Training Boundary Should Govern IP in Industry-Academia ML Collaborations
Dirk Bergemann, Soheil Ghili, Nitzan Mekel-Bobrov
Industry-academia ML collaborations routinely fail to launch -- not for scientific reasons, but because academics must publish while companies must protect models trained on propri…
Training Language Models for Bilateral Trade with Private Information
Dirk Bergemann, Soheil Ghili, Xinyang Hu +2
Bilateral bargaining under incomplete information provides a controlled testbed for evaluating large language model (LLM) agent capabilities. Bilateral trade demands individual rat…
Pay-Per-Crawl Pricing for AI: The LM-Tree Agent
Richard Archer, Soheil Ghili, Nima Haghpanah
As AI systems shift from directing users to content toward consuming it directly, publishers need a new revenue model: charging AI crawlers for content access. This model, called p…
Second-degree Price Discrimination: Theoretical Analysis, Experiment Design, and Empirical Estimation
Soheil Ghili, K. Sudhir, Nitish Jain +1
We build on theoretical results from the mechanism design literature to analyze empirical models of second-degree price discrimination (2PD). We show that for a random-coefficients…
Auctions Meet Bandits: An Empirical Analysis
Mohammad Rashid, Omid Rafieian, Soheil Ghili
Sponsored search positions are typically allocated through real-time auctions, where the outcomes depend on advertisers' quality-adjusted bids - the product of their bids and quali…