Man Luo (罗满)
Ph.D. • Senior ML Scientist at Abridge
mluo26 [at] asu [dot] edu
About
I am currently an Senior ML Scientist at Abridge. My research includes Multimodal and language models post-training, Multimodal Retrieval and Generation, Synthetic Data Pipelines, Computer Use Agents, and Multimodal Applications in Healthcare. More details:
- Knowledge Retrieval: How can we effectively retrieve and utilize external knowledge to not only enhance comprehension but also mitigate hallucination?
- Generalization: Designing models that can seamlessly adapt and perform across various tasks and domains without explicit training.
- Multimodal Understanding: Delving into the integration of textual, visual, and other modalities to bolster machine comprehension and response capabilities.
- Biomedical/healthcare application and innovation: Evaluate and innovate the LLMs to solve biomedical and healthcare challenges, such as long sequence processing, noisy data mitigation, data imbalance rectification, and enhancing interpretability.
Previously, I was a AI research scientist at Intel Lab and research fellow at Mayo Clinic, AZ.I earned my doctoral degree in 2023 from Arizona State University under the esteemed supervision of Dr. Chitta Baral. I am also privileged to collaborate with amazing industry researchers from Salesforce, Meta and Google during my internship.
News
2025
- [2025.11]: Started my new career journey at Abridge working more on AI healthcare applications/research.
- [2025.11]: Our paper Reasoning Can Hurt the Inductive Abilities of Large Language Models has been accepted to NeurIPS 2025.
- [2025.11]: Our paper DemoShapley has been accepted to BigData 2025.
- [2025.06]: New paper DPO Learning with LLMs-Judge Signal for Computer Use Agents.
- [2025.05]: Our paper SK-VQA has been accepted to ICML 2025 Oral Presentation (less than 1%).
- [2025.05]: Our paper Revolve has been accepted to ICML 2025.
- [2025.03]: New paper FiVL A Framework for Improved Vision-Language Alignment is out.
2024
- [2024.10]: Our paper EMRank has been accepted to IEEE Big Data for Healthcare!
- [2024.10]: Our paper SA-OcrPaint has been accepted to WACV 2025!
- [2024.08]: Our Survey paper Ret-ICL has been accepted to TMLR!
- [2024.07]: New Paper SK-VQA is out!
- [2024.06]: New Book Advances in Multimodal Information Retrieval and Generation is out!
- [2024.03]: I am very excited to join Intel AI Lab, CA, as a AI research Scientist.
- [2024.02]: Call for Paper: Multimodal4health Workshop. Will be held at ICHI Conference.
- [2024.01]: Survey: Ret-ICL In-context Learning with Retrieved Demonstrations for Language Models.
- [2023.11]: I will attend RSNA 2023 and give an oral presentaion and an invited course section.
- [2023.10]: New Paper: LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.
- [2023.07]: A new multimodal-query retriever dataset is public available on github! Check the dataset and the paper.
- [2023.07]: Join Mayo Clinic as a Research Fellow!
- [2023.05]: Our work on the commonsense assumption of language models is available on arXiv, also check the dataset!
- [2023.05]: My Google internship work on Dr.ICL: Demonstration-Retrieved In-context Learning is available on arXiv, check it out!
- [2023.05]: Our work on end-to-end multimodal retriever has been accepted to ACL 23!
- [2023.05]: My Meta internship work on hybrid efficient retriever has been accepted to ACL 23, check out our paper!
- [2023.04]: Successfully defense my Ph.D. dissertation: Neural Retrieval and Reader for Information Retrieval and Question Answering [Slide]
- [2023.01]: Invited talk at SERUM @ WACV 2023, [Slide]
- [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
- [2021.12]: 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.
- [2019.09]: 1 paper accpeted to ICLP 2019.
- [2019.09]: Presented at ICLP 2019 Doctoral Consortium
- [2019.06]: 1 workshop paper accepted to ASPOCP 2019
Professional Activities and Experience
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]
In-context Learning with Retrieved Demonstrations for Language Models: A Survey Man Luo, Xin Xu, Yue Liu, Panupong Pasupat, Mehran Kazemi TACL 2024 [Paper]
Improving Biomedical Information Retrieval with Neural Retrievers Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral AAAI 2022 [Paper]
Dr. ICL: Demonstration-Retrieved In-context Learning Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y Zhao Data Intelligence Journal 2024 [Paper]