Azal Ahmad Khan
Minneapolis, MN

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 π. |
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Aug 19, 2025 | Paper on Accelerating Reasoning accepted as a Findings paper at EMNLP 2025 π. |
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 π. |
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 π. |
Feb 27, 2025 | Paper on LLM Agents out on arxiv. LADs π. |
Jan 1, 2025 | Received the Amazon ML Systems Fellowshipπ. |
Dec 19, 2024 | Paper on Federated Learning accepted at IEEE IPDPS 2025 π. |
Dec 9, 2024 | Paper on Sycophancy in LLMs and Personlized Federated Learning accepted at IEEE BigData 2024 as short papersπ. |