Publication Exploring LLM-based Agents for Root Cause Analysis Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024 Project
Publication Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen July 2024 Preprint
Publication Optimal online discrepancy minimization Janardhan (Jana) Kulkarni, Victor Reis, Thomas Rothvoss STOC’24 | June 2024
Publication Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian International Conference on Machine Learning | June 2024
Publication Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search Sebastian Bruch, Aditya Krishnan, F. M. Nardini NeurIPS 2025 | May 2024
Publication Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin ICLR 2024 | May 2024 Github Project
Publication Privately Aligning Language Models with Reinforcement Learning Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim ICLR 2024 | May 2024 Project
Publication Cascading Reinforcement Learning Yihan Du, R. Srikant, Wei Chen Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
Publication Efficiently Computing Similarities to Private Datasets Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski ICLR 2024 | May 2024 Project
Publication Selective Pre-training for Private Fine-tuning Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang TMLR | May 2024 Project