3 papers
cs.AI2026
LLM-Derived Preference Judgments Are Not Self-Consistent
Matthew T. Ford, Francis Bahk, Jingjing Wang +4
Agents increasingly interpret a person's natural-language preferences by querying an LLM for numerical preference judgments, e.g., by asking how much the person would be willing to…
cs.CL2025
LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection
Adam S. Jovine, Tinghan Ye, Francis Bahk +4
Human experts often struggle to select the best option from a large set of items with multiple competing objectives, a process bottlenecked by the difficulty of formalizing complex…
math.OC2024
Cornell University Uses Integer Programming to Optimize Final Exam Scheduling
Tinghan Ye, Adam S. Jovine, Willem van Osselaer +2
This paper presents an integer programming-based optimization framework designed to effectively address the complex final exam scheduling challenges encountered at Cornell Universi…