Maryam Haghifam

Hey! I am Maryam Haghifam, a PhD student in Computer Science at the University of California, Los Angeles (expected graduation: December 2029), advised by Prof. Yizhou Sun. My research focuses on efficient large language model systems, particularly long-context memory, efficient inference, and agentic AI. I am interested in how LLMs can efficiently store, retrieve, and reason over long or evolving information, as well as inference techniques such as speculative decoding and multi-token prediction.

I am looking for Summer 2027 research / ML engineering internships.

Selected Publications

SeDeM: Selective Decompression of Hidden-State Memories for Long-Context Question Answering

Maryam Haghifam, Jason Cong, Yizhou Sun

EMNLP 2026 Main Conference

H²MT: Semantic Hierarchy-Aware Context-Time Memory for Beyond-Window Language Modeling

Maryam Haghifam, Zifan He, Jason Cong, Yizhou Sun

COLM 2026 Workshop – Context Beyond the Window: Persistent Knowledge in Language Models

Proteus: Preserving Model Confidentiality during Graph Optimizations

Yu Bo Gao, Maryam Haghifam, Renbo Tu, Christina Giannoula, Gennady Pekhimenko, Nandita Vijaykumar

MLSys 2024

Training Recipes for Agentic Reinforcement Learning in LLMs: A Survey

C. Chang, Y. Xiao, J. Xu, F. Xu, C. Ye, R. Li, J. Zhang, Y. Deng, K. Zheng, E. Ji, et al., including Maryam Haghifam

TechRxiv preprint, 2026

Design and Evaluation of Crowd-sourcing Platforms Based on Users’ Confidence Judgments

Samin Nili Ahmadabadi, Maryam Haghifam, Vahid Shah-Mansouri, Sara Ershadmanesh

Scientific Reports

Work Experience

Optum Technology, UnitedHealth Group

AI/ML Research Intern (PhD Level)

Robust and Interpretable Machine Learning Lab

Machine Learning Researcher

EAIGLE Inc.

Computer Vision and AI Researcher

Education

University of California, Los Angeles

Department of Computer Science — Ph.D. in Computer Science

Supervisor: Prof. Yizhou Sun

University of Toronto

Department of Computer Science — M.Sc. in Computer Science

Supervisors: Prof. Gennady Pekhimenko and Prof. Nandita Vijaykumar

University of Tehran

Department of Electrical and Computer Engineering — B.Sc. in Electrical Engineering (Control), Minor in Computer Engineering

Service

MLSys 2023: Artifact Evaluator