Xiang Yue (岳 翔)

Bio

I am a postdoctoral researcher at CMU working with Prof. Graham Neubig on natural language processing (NLP) and large language models (LLMs). I obtained my Ph.D. from The Ohio State University (OSU-NLP-Group), where I was trained by Prof. Huan Sun and Prof. Yu Su. I also collaborate closely with Prof. Wenhu Chen at University of Waterloo.

My research aims to understand and enhance the reasoning capabilities of LLMs while improving their responsibility and reliability.

• Understanding and enhancing the reasoning capabilities of LLMs
• Code Generation for autonomous programming and reasoning
• Improving the responsibility of LLMs in areas such as privacy, robustness, and attribution.
• LLMs for science and healthcare

Research Highlight

You might have heard of me because of the following recent work I led.

• OpenCodeInterpreter: the open replication of OpenAI GPT-4 Code Interpreter to achieve SoTA on code generation tasks.
• MMMU: the commonly used multimodal language model evaluation suite.
• MAmmoTH: An open generalist math reasoning model to achieve SoTA in 2023.

What's New

• [Feb 2024] Check out our OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
• [Nov 2023] ️‍Check out our new multimodal benchmark MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
• [Oct 2023] Two papers on "Evaluating Attribution" and "Evaluating Reasoning" accepted to EMNLP 2023
• [Sept 2023] New preprint on mathematical reasoning: 🦣 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
• [July 2023] Paper on Synthetic Text Generation with Differential Privacy received an Honorable Mention at ACL 2023
• [May 2023] Honored to receive the 2023 CSE Graduate Research Award and the 2023 College of Engineering Exemplary Graduate Student Researcher Award at Ohio State