Scholar
Man Luo
Google Scholar ID: RFeq08UAAAAJ
Arizona State University
Citations & Impact
Citations
832
H-index
15
i10-index
20
Publications
20
Co-authors
14
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Paper: DPO Learning with LLMs-Judge Signal for Computer Use Agents
- - Paper: SK-VQA accepted to ICML 2025 Oral Presentation (less than 1% acceptance rate)
- - Paper: Revolve accepted to ICML 2025
- - Paper: FiVL: A Framework for Improved Vision-Language Alignment
- - Paper: EMRank accepted to IEEE Big Data for Healthcare
- - Paper: SA-OcrPaint accepted to WACV 2025
- - Survey paper: Ret-ICL accepted to TMLR
- - Paper: SK-VQA released
- - Book: Advances in Multimodal Information Retrieval and Generation published
- - Paper: LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
- - Multimodal-query retriever dataset publicly available on GitHub
- - Paper: commonsense assumption of language models available on arXiv
- - Paper: Dr.ICL: Demonstration-Retrieved In-context Learning available on arXiv
- - Paper: end-to-end multimodal retriever accepted to ACL 23
- - Paper: hybrid efficient retriever accepted to ACL 23
- - Successfully defended Ph.D. dissertation: Neural Retrieval and Reader for Information Retrieval and Question Answering
- - Invited talk at SERUM @ WACV 2023
- - Two papers accepted to NAACL 2022 SRW
- - One paper accepted to NAACL 2022 Finding
- - One paper accepted to ACL 2022
Research Experience
- - AI Research Scientist at Intel Lab, multimodal cognitive AI team
- - Research Fellow at Mayo Clinic
- - Interned at Salesforce, Meta, and Google, collaborating with industry researchers
Education
- - Earned a Ph.D. in 2023 from Arizona State University under the supervision of Dr. Chitta Baral
- - Worked as a research fellow at Mayo Clinic, AZ, collaborating closely with Dr. Imon Banerjee and Dr. Bhavik Patel
Background
- - Currently an AI Research Scientist at Intel Lab, multimodal cognitive AI team
- - Research interests include post-training of multimodal and language models, multimodal retrieval and generation, synthetic data pipelines, computer use agents, and multimodal applications in healthcare
