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econ.GN2026
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…
cs.GT2026
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…
econ.GN2026
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…