Large Language Models as Statistical Decision-Makers at Inference Time
Baihe Huang [2026]

Towards Understanding and Improving Large Language Model Reasoning
Hanlin Zhu [2026]

Bridging Demonstrations and Decisions: Theory and Algorithms for Provable Imitation Learning
Nived Rajaraman [2025]

LLM Post-Training: Data Synthesis and Algorithms
Tianhao Wu [2025]

Perspectives on Multi-Agent Systems: From Characterization to Intervention
Geng Zhao [2025]

Towards Principled Training and Serving of Large Language Models
Banghua Zhu [2025]

Reliable Prediction and Decision-Making in Sequential Environments
Paria Rashidinejad [2022]