Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features. - Greg Yang; Michael Santacroce; Edward J. Hu (ICLR, 2022)

What Matters In The Structured Pruning of Generative Language Models? - Michael Santacroce; Zixin Wen; Yelong Shen; Yuanzhi Li (CoRR, 2023)

Efficient RLHF: Reducing the Memory Usage of PPO. - Michael Santacroce; Yadong Lu; Han Yu; Yuanzhi Li; Yelong Shen (CoRR, 2023)

Adapting LLM Agents Through Communication. - Kuan Wang; Yadong Lu; Michael Santacroce; Yeyun Gong; Chao Zhang; Yelong Shen (CoRR, 2023)

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences. - Corby Rosset; Ching-An Cheng; Arindam Mitra; Michael Santacroce; Ahmed Awadallah 001; Tengyang Xie (CoRR, 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Adapting LLM Agents with Universal Communication Feedback. - Kuan Wang; Yadong Lu; Michael Santacroce; Yeyun Gong; Chao Zhang; Yelong Shen (NAACL (Findings), 2025)