Publications — LLMs

All Discrete Optimization Machine Learning LLMs Algorithmic Fairness Quantum Computing Combinatorics

2026

Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML

Under submission, with Ayela Chughtai, Bhargavi Lanka, Swati Gupta.

Machine Learning LLMs Algorithmic Fairness

Many Preferences, Few Policies: Towards Scalable Language Model Personalization

Under submission, with Cheol Woo Kim, Roozbeh Nahavandi, Andrew Perrault, Milind Tambe, Swati Gupta.

Machine Learning LLMs Algorithmic Fairness

2025

Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning

ICML, with Cheol Woo Kim, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta.

Machine Learning Discrete Optimization Algorithmic Fairness LLMs