Murong Yue | George Mason University

About Me

I am a Ph.D. student at George Mason University(GMU) where I am luckily working with Prof. Ziyu Yao. Prior to my journey at GMU, I earned a master’s degree from the University of Southern California and a bachelor’s degree from Beijing Jiaotong University. I have spent time working at Alibaba as a machine learning engineer.

My research goal is to construct reliable and efficient interactive LLM systems. Currently, my focus revolves around designing efficient, safe and affordable LLM agents of tackling complex reasoning tasks.

News

[Oct. 2024] Check out our new preprint paper about the dynamic reasoning workflow!
[May. 2024] I will start my summer internship in Tencent, Seattle.
[Apr. 2024] I am awarded the Outstanding PhD Student Award by GMU, CS department.
[Apr. 2024] Check out our new preprint paper about the educational agent.
[Mar. 2024] Receive Recognition for Service on Hangs-On Generative AI Tutorial from GMU CEC department.
[Jan. 2024] One paper is accepted by ICLR 2024.
[Dec. 2023] One paper is accepted by ICASSP 2024.
[Oct. 2023] Give an invited talks about the cost-efficient LLM cascade at Microsoft Semantic Machines. Thanks for the invitation!
[Oct. 2023] Our paper about an open-source platform for ALM is accepted to EMNLP 2023 demo. Thanks for our collaborators!
[Apr. 2023] GMU will organize MASC-SLL 2023, an annual NLP event in the Mid-Atlantic area! I will be serving as a Colloquium Organizer.

Publications

Preprint

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu

Preprint

PDF Code

Preprint

MathVC: An LLM-Simulated Multi-Character Virtual Classroom for Mathematics Education

Murong Yue, Wijdane Mifdal, Yixuan Zhang, Jennifer Suh, Ziyu Yao

Preprint

PDF Code

ICLR 2024

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

The 2024 Conference on International Conference on Learning Representations(ICLR'24'), 2024.

PDF Code

ICASSP 2024

Cam LLM Find The Green Circle? Investigation And Human-guided Tool Manipulation For Compositional Generalization

Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhan Wang, Chang-Tien Lu

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP'24'), 2024.

PDF

EMNLP 2023 Demo

Gentopia: A Collaborative Platform for Tool-Augmented LLMs

Binfeng Xu, Xukun Liu, Hua Shen, Zeyu Han, Yuhan Li, Murong Yue, Zhiyuan Peng, Yuchen Liu, Ziyu Yao, Dongkuan Xu

The 2023 Conference on Empirical Methods in Natural Language Processing(ENMLP'23'), 2023.

PDF Code Project Page

Award

Outstanding PhD Students, GMU CS Department

Recognition for Service on Hangs-On Generative AI Tutorial, GMU CEC

Services

Organizing Committee

MASC-SLL 2023 - 10th Mid-Atlantic Student Colloquium on Speech, Language and Learning

Reviewer

NeurIPS’23, NeurIPS’24, EMNLP'24, ICLR'25, AISTATS'25

Talk

[Feb. 2024] Title: LLM agent: build your own personal assistant, Invited talk at George Mason University Event for Hand-on Generative AI. Host: Amadra Shehu.

[Oct. 2023] Title: Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning, Invited talk at Microsoft Semantic Machines. Host: Hao Fang.