News
TRAILS AI Summer Academy Empowers Future AI Innovators
The two-week academy featured mentoring from UMD faculty, a field trip to an interactive museum focused on language, and group projects that covered hot topics like neural networks, machine learning and large language models (LLMs).
Novel Study Explores the Useability and Efficacy of AI Translations for Diverse Populations
UMD researchers are partnering with the Language Science Station at Planet Word to explore how people from different backgrounds rely on imperfect language translations generated by AI.
How To Improve Post-Editing Capabilities of Large Language Models
UMD’s Marine Carpuat has shown that using external quality feedback boosts the machine translation post-editing skills of large language models.
Evaluating Machine Translation Systems in Emergency Rooms
UMD’s Marine Carpuat and Ge Gao are exploring the quality of English-to-Chinese machine translation systems in high-stakes medical settings.
TRAILS Announces First Round of Seed Funding
The eight funded projects, totaling just over $1.5 million, will advance cutting-edge research and scholarship that spans AI design, development and governance.
Rising Stars Workshop Engages Machine Learning Community
TRAILS is a sponsor of the University of Maryland Center for Machine Learning’s 2023 Rising Stars in Machine Learning Workshop, designed to support researchers from underrepresented groups. This year’s committee included UMD’s Soheil Feizi, Hal Daumé, Marine Carpuat and Tom Goldstein.
CLIP Lab Presents a Plethora of Papers and Workshops on Human-Centered NLP
UMD’s Marine Carpuat, Jordan Boyd-Graber, and Hal Daumé presented papers at a conference focused on human-centered natural language processing.
Researchers Work to Make Artificial Intelligence Genuinely Fair
UMD’s Marine Carpuat is part of a $1.6 million project funded by Amazon and the National Science Foundation to make college admissions more fair through the us of AI.