Stanford's Team Chirpy Cardinal is returning to the competition for the third time.
Our goal is to advance the state of open-domain dialogue by blending modern NLP techniques with empathetic, engaging responses. With each of us bringing a diverse range of backgrounds and experiences to the table, we hope for our bot to be able to provide a great experience for customers, one that makes them feel understood and cared for. We are advised by Prof. Christopher D. Manning.
Ryan Chi - Team leader
Chi is a master's student at Stanford working on understanding large language models. Previously, he was the lead contributor for Stanford CRFM's bias investigation team, and was at NVIDIA AI working on NMT systems. This year, he's leading Stanford's Chirpy Cardinal Alexa Prize team. In addition, he has served as the president of Stanford ACM and a coach for the USA Linguistics Olympiad team.
Thanawan Atchariyachanvanit
Atchariyachanvanit is a sophomore at Stanford University studying computer science. She is an international student from Thailand. Previously, she was an undergraduate research assistant at Stanford NLP Group during the summer.
Steven Cao
Cao is a second-year PhD student at Stanford, researching natural language processing, machine learning, and theory. In the past, he has worked on syntactic parsing, grammar induction, and multilingual modeling. Cao is currently supported by the NSF GRFP.
Scott Hickmann
Scott is a sophomore studying Computer Science at Stanford University. He is a full-stack developer who worked on computer vision and NLP projects in industry. Scott is also teaching a web development class for Stanford ACM. He is looking forward to delving deeper into scalable NLP solutions to improve real-world customer-facing interactions.
Jeremy Kim
Kim is a junior at Stanford University studying mathematics, originally from New York City. Kim loves brainstorming solutions to problems with other people, and is eager to pursue his passions through the Alexa Prize contest.
Siyan Li
Li is a second-year master's student in computer science at Stanford University. Her current research focus is on dialogue systems, both in speech and text. She has been an intern at Amazon Robotics, and conducted research at Carnegie Mellon, University of Southern California, and IT University of Copenhagen. Li will be applying to PhD programs this year, and she is passionate about applying dialogue systems in healthcare contexts, specifically in a mental health related context.
Patrick Liu
Liu is a junior at Stanford University, studying computer science with a concentration on AI. He is interested in the applications of various forms of AI in the real world, from computer vision in remote sensing to natural language processing in conversation. In addition to research at the Stanford AI Lab, he teaches ML workshops and competes in AI shared tasks in Stanford ACM. He is also interested in physics, biology, golf, and organizing speaker events.
Katherine Yu
Yu is a junior at Stanford University studying computer science and mathematics. She has done research with the Stanford Theory Group on sampling algorithms, and is interested in computer systems and user- facing software.
Christopher Manning - Faculty advisor
Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Human-Centered Artificial Intelligence Institute (HAI). His research goal is computers that can intelligently process, understand, and generate human language material. Manning is a leader in applying Deep Learning to Natural Language Processing, with well-known research on the GloVe model of word vectors, question answering, tree-recursive neural networks, machine reasoning, neural network dependency parsing, neural machine translation, sentiment analysis, and deep language understanding.
