Zirui's Homepage

About me

I’m Zirui “Ray” Liu, an assistant professor from the Department of Computer Science at UMN. Previously I graduated from Computer Science at Rice University, co-advised by Dr. Xia “Ben” Hu and Prof. Vladimir Braverman.

I am mostly interested in Large Language Models and their applications, focusing on enabling them to combine and process information from diverse sources and domains. For that reason I deeply care about efficiency, reasoning, long-context ability, and understanding their inner working mechanism. I also enjoy extending foundation models to other domains, exploring the interplay between different source of data.

📧📧 Recruiting 2025 Fall Ph.D. students and interns: I am always looking for self-motivated students with strong coding skills. Feel free to drop me a line to ziruiliu dot recruit at gmail dot com together with resume, transcripts, and a short description of why you’d like to work with me.

News

• KVCache Compression Benchmark accepted at EMNLP24. If you want to know the research landspace of this area, take a look at the paper and code.

• Introduced a rare disease question-answering (ReDis-QA) dataset to assess the chatbot ability of diagnosing rare diseases.

• 🔥🔥 Our KIVI largely inspires the KV Cache quantization system in Huggingface. Code is available here; And our Self-Extend is highlighted during Google I/O session. Code is available here.

• Our KIVI, Self-Extend, and Compress-then-prompt are accepted by ICML 2024. Self-Extend has been selected as Spotlight (3.5%) at ICML2024!

• Our Memory-Efficient LLM fine-tuning work is covered by Rice CS New.

• Three paper accepted to Neurips 2023.

• Two paper accepted to TMLR.

• Twos papers accepted to ICML 2023.

• One paper accepted to MLSys 2023.

• Two papers accepted to Neurips 2022, DreamShard and GNN Benchmark (Benchmark track).

Publications

Please refer to publications or Google Scholar.