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Taco 2.0

Taco 2.0 will be build it on top of their winning TaskBot (Taco 1.0) from the first challenge.

By Ohio State University
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We envision Taco 2.0 collaborating with the user closely to address their needs and questions via knowledgeable, contextualized, personalized, engaging multi-modal interactions with the ability of dynamic planning.

Team TacoBot 2.0 (2023)
Team TacoBot 2.0

Lingbo Mo - Team leader

Mo is a fourth-year PhD student in the CSE Department at the Ohio State University advised by Prof. Huan Sun. His research lies in interactive semantic parsing, question answering, and dialogue systems. He also has research experience in the intersection of vision and language, such as image captioning and visual storytelling tasks.

Carl Tai

Tai is a 2nd-year MSE student in CSE. His research focuses on NLP and recommendation, including aspect extraction, fraud detection, GNN-based recommendation models, hyperbolic-based recommendation models, and user decision process reasoning. He is also experienced in building up the large-scale knowledge graph embedding model, for training billion-scale nodes' embeddings.

Sunit Singh

Singh is a Data Scientist with 6 years of full time work experience. He has worked on research and development of end-to-end natural language based machine learning systems and deep learning applications in computer vision. He is interested in approaching machine learning problems with a research focus and productizing ML packages to cater to real-world problems. Currently pursuing Master's in Computer Science at Ohio State University with research focus in task oriented dialog agents and commonsense reasoning in large language models.

Tianshu Zhang

Zhang is a second-year Ph.D. student in Computer Science & Engineering at The Ohio State University. I’m interested in natural language processing and federated learning. More specifically, her research focuses on how to collaboratively and efficiently build natural language interfaces and how to design models to understand human language. She is also interested in building powerful conversational AI systems to interact with users smartly and friendly.

Huanli Gong

Gong is a current undergraduate student in the Department of Computer Science and Engineering at The Ohio State University. He works for SunLab as a research assistant advised by Prof. Huan Sun. His research interests are Natural Language Processing and Automatic Speech Recognition. Currently, he is working on Contextualized ASR Error Correction. Previously, he worked on A Dataset for Generating Deep Questions in Education and published a paper as first author at the 29th International Conference on Computational Linguistics.

Tianhao Zang

Zang is a junior student majoring in Computer Science at the Ohio State University. He has previously researched ASR error correction and is known for his creativity and consistency. Tianhao is an asset to his team and is eager to be dedicated to his studies and work for Team Taco2. In this competition, he will focus on user engagement part and NLU modules. He is confident in his ability to help with the design of the user interface with presentation of images, videos and texts for device screen.

Huan Sun - Faculty advisor

Sun is an associate professor in CSE at The Ohio State University. Her research interests lie in natural language processing, data mining and management, and artificial intelligence, with emphasis on building various kinds of natural language interfaces, task-oriented dialogue and conversational AI systems. Huan led a team of OSU students to win third place in the first Alexa Prize TaskBot challenge during 2021-2022. She received 2022 SIGMOD Research Highlight Award, 2021 BIBM Best Paper Award, Google Research Scholar Award (2022), NSF CAREER Award (2020), OSU Lumley Research Award (2020), SIGKDD Ph.D. Dissertation Runner-Up Award (2016), among others.

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Ohio State University

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