Man Luo (罗满)

Ph.D. student, Arizona State University

mluo26 [at] asu [dot] edu
Google Scholar / Github / LinkedIn / CV

About

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.

News

2023
2022
  • [2022.12]:2th O-DRUM Workshop will be back at CVPR 2023 with a new rhythm: Open-Domain *Reasoning* under Multimodal settings.
  • [2022.08]: Start internship at Google Research.
  • [2022.08]: Completed thesis proposal and became Ph.D. candidate.
  • [2022.05]: Start internship at Meta Reality Lab working on efficient retrieval task.
  • [2022.05]: 2 papers accpeted to NAACL 2022 SRW .
  • [2022.04]: 1 paper accpeted to NAACL 2022 Finging.
  • [2022.04]: 1 paper accpeted to ACL 2022 Spa-NLP workshop.
  • [2022.02]: 1 paper accpeted to ACL 2022 Finding.
  • [2022.01]: O-Drum Workshop will be held in CVPR 2022
2021
  • [2021.12]: 1 paper accepted to AAAI 2021. Acceptant rate 15%.
  • [2021.08]: 1 paper accepted to EMNLP 2021.
  • [2021.06]: Yankai Zeng (mentor by me) passed his master thesis and now be a Ph.D. student in UTD.
  • [2021.05]: Research intern at Salesforce and worked with Kazuma Hashimoto and Yingbo Zhou.
  • [2021.04]: Finalist of 2021 Knowledge Mobilization Awards.
  • [2021.03]:Invited talk at exploreCSR workshop (ASU).
  • [2021.02]: 1 paper accepted to EACL 2021.
2019
  • [2019.09]: 1 paper accpeted to ICLP 2019.
  • [2019.09]: Presented at ICLP 2019 Doctoral Consortium
  • [2019.06]: 1 workshop paper accepted to ASPOCP 2019

Publications

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]

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering
Man Luo*, Yankai Zeng*, Pratyay Banerjee, Chitta Baral
EMNLP 2021
[Paper] [Code]

‘Just because you are right, doesn’t mean I am wrong’: Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks
Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral
EACL 2021
[Paper] [Code]

Strong equivalence for LPMLN programs
Joohyung Lee and Man Luo
ICLP 2019
[Paper]

Preprinted Papers

A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
Man Luo, Shuguang Chen, Chitta Baral.
arXiv preprint
[Paper] [Code]

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]