About

Hi! I am Haoran (pronounced as How-Ran), an MS student at the Machine Learning Department of CMU, working with Prof. Aviral Kumar. Previously, I was fortunate to work with Prof. Alan Yuille at Johns Hopkins University and Prof. Huaxiu Yao at UNC-Chapel Hill.

My research interests lie at the intersection of machine learning, reinforcement learning, and foundation models. Currently, I am working on long context foundation models. More broadly, my research involves retrieval-augmented generation, preference optimization, and applications in broader science (e.g., healthcare and ecology).

If you are interested in connecting with me, please feel free to reach out at haoranl4 [at] cs.cmu.edu.

News

HoPE was accepted by NeurIPS 2025!
Excited to start my MS in Machine Learning at CMU!
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

HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models
Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu
Advances in Neural Information Processing Systems (NeurIPS), 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.

Academic Services

Conference Reviewer:

International Conference on Learning Representations (ICLR): 2026
Annual Meeting of the Association for Computational Linguistics (ACL): 2025
Conference on Empirical Methods in Natural Language Processing (EMNLP): 2025
Conference of the European Chapter of the Association for Computational Linguistics (EACL): 2026

Miscellaneous

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

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