I am a third year PhD student at the Machine Learning Department at Carnegie Mellon University. I am interested in the following questions:
how do we make AI systems better at reasoning
how can we enable continual learning in the era of modern Deep Learning
I am fortunate to be advised by Andrea Zanette.
Previously, I worked as a Research Fellow at Microsoft Research India, where I worked on Retrieval and Software Agents with Nagarajan Natarajan.
Before that, I spent my undergrad at IIT Delhi where I worked on Generalized Planning with Mausam and Parag Singla.
news
August 2024
started my PhD at CMU
August 2023
started working at Microsoft Research India as a Research Fellow
July 2023
completed B.Tech and M.Tech from IIT Delhi
selected publications
(* denotes equal contribution)
Training Language Models to Reason Efficiently Daman Arora, Andrea Zanette Neural Information Processing Systems, 2025 paper
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Message Passing Enables Efficient Reasoning
Xuecheng Liu*, Daman Arora*, Gokul Swamy, Andrea Zanette Conference on Language Modeling (COLM), 2026 paper
Maximum Likelihood Reinforcement Learning
Fahim Tajwar*, Guanning Zeng*, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff Schneider, Ruslan Salakhutdinov, Haiwen Feng, Andrea Zanette International Conference on Machine Learning (ICML), 2026 Oral paper
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Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models Daman Arora*, Himanshu Gaurav Singh*, Mausam Empirical Methods in Natural Language Processing (EMNLP), 2023 paper
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MASAI: Modular Architecture for Software-engineering AI Agents Daman Arora*, Atharv Sonwane*, Nalin Wadhwa*, Abhav Mehrotra, Saiteja Utpala, Ramakrishna B Bairi, Aditya Kanade, Nagarajan Natarajan NeurIPS Workshop on Open-World Agents: Synergizing Reasoning and Decision-Making in Open-World Environments (OWA-2024) paper
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