Abstract Artificial intelligence is increasingly used in healthcare, but building tools that people trust requires close collaboration across many groups. This talk describes several projects that illustrate how collaborative approaches can support the development of[…]
Abstract Historically in natural language processing (NLP) research, many attempts have been made to answer a simple question: what does the relatedness between languages imply about their utility for one another in cross-lingual transfer applications?[…]
Abstract This seminar will focus on how to write constructive reviews for papers, with the goal of preparing students to review papers for conferences and journals. We will also briefly review the typical conference submission[…]
Abstract Finetuning Large Language Models (LLMs) enhances their performance on downstream tasks — a desirable outcome if the model is used for a specific task. Parameter-efficient finetuning methods such as LoRA (Low-Rank Adaptation) are popular[…]
Abstract Efforts towards better machine translation (MT) for Creole languages have historically been isolated, due to Creole languages’ geographic and linguistic diversity. However, most speakers of Creole languages stand to benefit from improved MT for[…]
Abstract As customer expectations rise and legacy automation reaches its limits, Comcast is redefining digital care through an agentic AI transformation. This talk chronicles our evolution from scripted bots to modular, autonomous systems of intelligent[…]
Abstract Early tumor detection saves lives. Each year, more than 300 million computed tomography (CT) scans are performed worldwide, offering a vast opportunity for effective cancer screening. However, detecting small or early-stage tumors on these[…]
