About

Hi, I am an incoming MS in Machine Learning student at CMU's Machine Learning Department. I am now a research intern at Xiaohongshu (rednote). Prior to that, I worked closely with Prof. Huaxiu Yao at UNC-Chapel Hill. I am interested in the foundations and applied aspects or generative models. Currently, I am working on multimodal long-context modeling. My research more broadly focuses on foundation models, NLP, retrieval-augmented generation, alignment, and applications in healthcare.

News

MMed-RAG was accepted by ICLR 2025!
SemDI and RULE were accepted by EMNLP 2024!
LITE was accepted by COLM 2024!

Publications

Please see the full list in Google Scholar.

2025

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao
International Conference on Learning Representations (ICLR), 2025.

2024

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
Haoran Li, Qiang Gao, Hongmei Wu, Li Huang
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
Peng Xia*, Kangyu Zhu*, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models
Haoran Li, Junqi Liu, Zexian Wang, Shiyuan Luo, Xiaowei Jia, Huaxiu Yao
Conference on Language Modeling (COLM), 2024.

Selected Honors & Awards

Outstanding Graduate, 2025
National Scholarship (Top 0.2%, nationwide), 2023
Interdisciplinary Contest in Modeling, Meritorious Winner (Top 6%, worldwide), 2023

Academic Services

Conference Reviewer: ACL 2025

Miscellaneous

I love traveling 🧳, movies 🎥, and basketball 🏀.
I've been to 🇺🇸, 🇯🇵, 🇸🇬, 🇭🇰, 🇲🇴, 🇰🇷... Always Exploring!

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