LG AI Research and CSE build on successful partnershipA delegation from LG AI Research visited campus to review LG-funded projects in process and discuss future collaborations.
When LLMs and robots meetU-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 2023The 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 studyA 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 2023Fourteen 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 ChallengeThe 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 ChallengeThe 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 ScienceChai 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 ResearchThe 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 ChallengeTeam 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 roboticsProf. 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 understandingThe 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
The new additions to the department offer a breadth of research and educational experience, with projects spanning robotic interaction and the future of programming languages.