Joyce Chai

Seventeen papers by CSE researchers at NeurIPS 2024

Papers by CSE authors cover a variety of topics related to machine learning and neural information processing.

Michigan AI Symposium showcases cutting-edge advances in embodied AI

The event brought together over 300 AI experts for a day of networking and discussions around this evolving field.

Ziqiao ‘Martin’ Ma awarded Weinberg Graduate Fellowship in Cognitive Science

The award recognizes Martin’s outstanding research accomplishments and will support Martin’s ongoing work on situated language and embodied AI.

Fifteen papers by CSE researchers at CVPR 2024

New papers authored by CSE researchers cover a range of topics related to computer vision, including image reconstruction, 3D scene representation, LLM visual grounding, and more.

2024 EECS Outstanding Achievement Awards

The EECS Department has honored four faculty for their sustained excellence in instruction and curricular development, distinguished participation in service activities, or for their significant achievements in scholarly research.

Using natural language processing to improve everyday life

Prof. Joyce Chai's work in natural language processing is bolstered by high performance computing systems operated by the Advanced Research Computing Group (ARC) in U-M's Information and Technology Services.

Fourteen papers by CSE researchers presented at NeurIPS 2023

CSE authors are presenting new research in the area of machine learning and neural networks.

Ten papers by CSE researchers presented at EMNLP 2023

The ten papers being presented, as well as ten additional papers published in the Findings track of the conference, provide new insight on several topics related to natural language processing, from detecting bias to parsing optical illusions.

LG AI Research and CSE build on successful partnership

A delegation from LG AI Research visited campus to review LG-funded projects in process and discuss future collaborations.

When LLMs and robots meet

U-M researchers have designed a new 3D visual grounding framework that uses large language models (LLMs) to help household robots better follow instructions and understand everyday environments.

CSE researchers win Outstanding Paper Award at ACL 2023

The CSE authors were recognized for the excellence of their paper on grounded vocabulary acquisition in vision-language models.

Researchers investigate language models’ capacity for analogical reasoning in groundbreaking study

A team of University of Michigan researchers has explored how language models perform on human cognitive tests to determine their ability to form analogies.

Seven papers by CSE researchers presented at ACL 2023

Fourteen researchers in CSE have authored papers appearing at the conference, covering a variety of topics related to computational linguistics and natural language processing.

University of Michigan SEAGULL team wins Alexa Prize SimBot Challenge

The CSE researchers have placed first in a global competition sponsored by Amazon focused on next-generation embodied AI agents.

U-M CSE research team advances to top five in Amazon Alexa Prize Simbot Challenge

The challenge is a means of pushing forward with their research into development of next-generation embodied AI agents.

Joyce Chai appointed associate director of Michigan Institute for Data Science

Chai will greatly enhance MIDAS’ effort to support AI researchers and AI-enabled research across many fields at the university.

Six new projects funded by LG AI Research  

The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.

U-M team reaches next phase of Amazon Alexa Prize SimBot Challenge

Team SEAGULL, led by doctoral student Yichi Zhang and advised by Prof. Joyce Chai, strives to develop embodied AI agents capable of attending to users’ needs, following natural language instructions, collaborating, and continuously improving through interaction.

Joyce Chai named ACL Fellow for significant contributions to grounded natural language processing and the interaction between language processing and robotics

Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.

Outstanding Paper Award for helping AI agents develop better human understanding

The researchers have developed a framework and a dataset of collaborative tasks performed by pairs of humans that can teach AI agents how humans understand each other.

7 new faculty in CSE