Mohit Iyyer “Improving, Evaluating and Detecting Long-Form LLM-Generated Text”
February 26, 2024
When:
March 1, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Events
Keith Harrigian (JHU) “Fighting Bias From Bias: Robust Natural Language Processing Techniques to Promote Health Equity”
February 26, 2024
When:
February 26, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract As artificial intelligence (AI) continues to rapidly expand into existing healthcare infrastructure – e.g., clinical decision support, administrative tasks, and public health surveillance – it is perhaps more important than ever to reflect on[…]
Ioana Ciuca (Australian National University)”A Universe To Be Decided: Towards Specialized Foundation Models for Advancing Astronomy”
February 20, 2024
When:
February 23, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract I discuss the application of Foundation Models in Astronomy through the collaborative efforts of the UniverseTBD consortium with a mission to democratize Science for everyone. One of our key objectives is to overcome the[…]
Steven Tan “Streaming Sequence Transduction through Dynamic Compression”
February 20, 2024
When:
February 19, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract We introduce STAR (Stream Transduction with Anchor Representations), a novel Transformer-based model designed for efficient sequence-to-sequence transduction over streams. STAR dynamically segments input streams to create compressed anchor representations, achieving nearly lossless compression (12x)[…]
Amir Hussein “Towards End-to-End Conversational Speech Translation”
February 20, 2024
When:
February 5, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract Over the past three decades, the fields of automatic speech recognition (ASR) and machine translation (MT) have witnessed remarkable advancements, leading to exciting research directions such as speech-to-text translation (ST). This talk will delve[…]
Brendan Lake (New York University) “Towards More Human-Like Learning in Machines: Bridging the Data and Generalization Gaps”
February 20, 2024
When:
February 12, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street
Abstract There is an enormous data gap between how AI systems and children learn language: The best LLMs now learn language from text with a word count in the trillions, whereas it would take a[…]
Lara J. Martin (University of Maryland) “Neurosymbolic AI or: How I Learned to Stop Worrying and Love the Large Language Model”
February 12, 2024
When:
February 16, 2024 @ 12:00 pm – 1:15 pm
Where:
Hackerman Hall B17, 3400 N. Charles Street, Baltimore, MD 21218
Abstract Large language models like ChatGPT have shown extraordinary abilities for writing. While impressive at first glance, large language models aren’t perfect and often make mistakes humans would not make. The main architecture behind ChatGPT[…]
