Wokring Papers

Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng (2025). From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications. Working Paper.

arXiv

Yang Cai, Gabriele Farian, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng (2025). On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games. Working Paper.

Cite arXiv

Yixin Liu, Argyris Oikonomou, Weiqiang Zheng, Yang Cai, Arman Cohan (2024). COMAL: A Convergent Meta Algorithm for Aligning LLMs with General Preferences. NeurIPS workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML). Selected for Oral Presentation.

arXiv FITML workshop