I'm a 5th-year Ph.D. candidate in Computer Science at the Arizona State University. I work at Cognition & Intellifent Lab, supervised by Dr. Chitta Baral.
My research focuses on developing intelligent models that can search for and leverage external knowledge to improve their comprehension and reasoning skills, with a particular focus on tasks such as question answering. To achieve this goal, I have invented new models (Poly-DPR, VRR) and training objectives (SCONER) that are specifically designed to enhance the ability of these models to retrieve relevant knowledge from a corpus. I also care about the robustness, generalization and efficiency of the models. My research includes contributions to the biomedical field, including the creation of the first biomedical instruction-learning benchmark (BoX).
I am on the job market, looking for postdoc, research scientist, and faculty positions.
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral NAACL 2022 Finding [Paper] [Model in Huggingface]
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale*, Swaroop Mishra*, Man Luo*, Bhavdeep Singh Sachdeva, Chitta Baral ACL 2022 Finding [Paper]
Improving Biomedical Information Retrieval with Neural Retrievers Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral AAAI 2022 [Paper]
Strong equivalence for LPMLN programs Joohyung Lee and Man Luo ICLP 2019 [Paper]
Can Transformers Reason About Effects of Actions? Pratyay Banerjee, Chitta Baral, Man Luo, Arindam Mitra, Kuntal Pal, Tran C Son, Neeraj Varshney arXiv preprint [Paper]