4 papers
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…
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…
Modeling the Risk of In-Person Instruction during the COVID-19 Pandemic
Brian Liu, Yujia Zhang, Shane G. Henderson +2
During the COVID-19 pandemic, safely implementing in-person indoor instruction was a high priority for universities nationwide. To support this effort at the University, we develop…
Improved Approximation Algorithms for the Joint Replenishment Problem with Outliers, and with Fairness Constraints
Varun Suriyanarayana, Varun Sivashankar, Siddharth Gollapudi +1
The joint replenishment problem (JRP) is a classical inventory management problem. We consider a natural generalization with outliers, where we are allowed to reject (that is, not…