Seminars
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Yuan Gong (MIT Computer Science and Artificial Intelligence Laboratory) “From Audio Perception to Understanding: A Path Towards Audio Artificial General Intelligence”
12:00 pm
Yuan Gong (MIT Computer Science and Artificial Intelligence Laboratory) “From Audio Perception to Understanding: A Path Towards Audio Artificial General Intelligence”
@ Hackerman Hall B17
Apr 1 @ 12:00 pm – 1:15 pm
Abstract Our cognitive abilities enable us not only to perceive and identify speech and non-speech sounds but also to comprehend their meaning as a whole. While significant advancements have been achieved in audio recognition in[...]
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Heng Ji (University of Illinois Urbana-Champaign) “SmartBook: an AI Prophetess for Disaster Reporting and Forecasting”
12:00 pm
Heng Ji (University of Illinois Urbana-Champaign) “SmartBook: an AI Prophetess for Disaster Reporting and Forecasting”
@ Hackerman Hall B17
Apr 5 @ 12:00 pm – 1:15 pm
Abstract History repeats itself, sometimes in a bad way. Preventing natural or man-made disasters requires being aware of these patterns and taking pre-emptive action to address and reduce them, or ideally, eliminate them. Emerging events,[...]
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Matthew Wipperman (Regeneron)
12:00 pm
Matthew Wipperman (Regeneron)
@ Hackerman Hall B17
Apr 15 @ 12:00 pm – 1:15 pm
Abstract Biomarkers can be used for a variety of purposes in clinical research and drug development, and while molecular and imaging biomarkers have utility in such research, digital biomarkers are increasingly being used to assess[...]
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Shafiq Joty (Salesforce Research) “Unleash the Potential of LLMs through Task and Data Engineering”
12:00 pm
Shafiq Joty (Salesforce Research) “Unleash the Potential of LLMs through Task and Data Engineering”
@ Hackerman Hall B17
Apr 19 @ 12:00 pm – 1:15 pm
Abstract Large Language Models (LLMs) have become ubiquitous across various domains, transforming the way we interact with information and conduct research. While the proliferation of LLMs has enhanced numerous applications, a significant number of high-performing[...]
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Craig Greenberg (National Institute of Standards and Technology)
12:00 pm
Craig Greenberg (National Institute of Standards and Technology)
@ Hackerman Hall B17
Apr 22 @ 12:00 pm – 1:15 pm
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Yulia Tsvetkov (University of Washington) “LLMs under the Microscope: Illuminating the Blind Spots and Improving the Reliability of Language Models”
12:00 pm
Yulia Tsvetkov (University of Washington) “LLMs under the Microscope: Illuminating the Blind Spots and Improving the Reliability of Language Models”
@ Hackerman Hall B17
Apr 26 @ 12:00 pm – 1:15 pm
Abstract Large language models (LMs) are pretrained on diverse data sources—news, discussion forums, books, online encyclopedias. A significant portion of this data includes facts and opinions which, on one hand, celebrate democracy and diversity of[...]
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