Azal Ahmad Khan

Minneapolis, MN

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I am a second-year PhD student in Computer Science and Engineering at the University of Minnesota. At UMN, I am fortunate to be advised by Ali Anwar. My research is funded by the Amazon ML Systems Fellowship and Departmental GAGE Fellowship. I spent last summer at NEC Labs America working with Vijay Kumar and Manmohan Chandraker.

My research focuses on reasoning and coordination in LLM agents. I am interested in how multiple agents can collaborate to solve complex tasks more efficiently. Prior to joining UMN, I spent four beautiful years completing undergrad at the Indian Institute of Technology (IIT) Guwahati, India. During my undergrad, I worked with Debanga Raj Neog, Ali Anwar, and Rohitash Chandra.

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News

Sep 18, 2025 Paper on Quantile-Guided Alignment accepted as a Spotlight Paper (Top 3.1%) at NeurIPS 2025🎊.
Aug 19, 2025 Paper on Accelerating Reasoning accepted as a Findings paper at EMNLP 2025🎊.
Aug 9, 2025 Paper on Accelerating Reasoning and Semantically-Aware DPO out on arxiv.
Jun 15, 2025 Paper on Safety-Aware Task Planning accepted at IROS 2025🎊.
May 19, 2025 Started internship at NEC Labs America. Excited for an amazing experience ahead!
Mar 18, 2025 Paper on Safety Aware Task Planning using LLM Agents out on arxiv. arXiv🎊.
Feb 27, 2025 Paper on LLM Agents out on arxiv. LADs🎊.
Jan 1, 2025 Received the Amazon ML Systems Fellowship🎊.
Dec 19, 2024 Paper on Federated Learning accepted at IEEE IPDPS 2025🎊.
Dec 9, 2024 Paper on Sycophancy in LLMs and Personlized Federated Learning accepted at IEEE BigData 2024 as short papers🎊.