daman arora

resume | scholar | github | email

I am a first 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

publications

(* denotes equal contribution)

Training Language Models to Reason Efficiently
Daman Arora, Andrea Zanette
arXiv
paper | blog | code | cite
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 |blog | cite
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
Daman Arora*, Anush Kini*, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma
arXiv
paper | cite
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 | code | cite
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
Daman Arora, Subbarao Kambhampati
KLR Workshop ICML, 2023
paper | cite
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs
Vishal Sharma*, Daman Arora*, Mausam, Parag Singla
Uncertainty in Artificial Intelligence (UAI), 2023
paper | reviews | code | cite
SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs
Vishal Sharma, Daman Arora, Mausam, Parag Singla
Uncertainty in Artificial Intelligence (UAI), 2022
paper | code | cite