Andrea Madotto

HKUST-CAiRE-MLC

There can't be beauty and utility?

- Leonardo da Vinci

Short BIO: Andrea Madotto received his PhD in Electronic & Computer Engineering at The Hong Kong University of Science and Technology (HKUST), and he is part of the Centre for Artificial Intelligence Research (CAiRE) and ML Collective (MLC). His research focuses on conversational modelling, controllable language and response generation, and meta/continual learning. He received the outstanding paper award from ACL2019, and the best paper award from the NeurIPS2019 ConvAI workshop. His work has been featured in MIT technology review and VentureBeat. He serves as program committee and reviewer for various machine learning and natural language processing conferences such as ACL, EMNLP, NeurIPS, ICML, ICLR, and AAAI, and journals such as the Journal of Natural Language Engineering and Computer Speech and Languages, and he co-present the tutorial Deeper Conversational AI at NeurIPS 2020.

News

Sep 11, 2021 3 papers accepted at EMNLP2021
Apr 3, 2021 BiToD accepted at NeurIPS2021 Benchmark Track
Apr 3, 2021 2 papers accepted at NAACL2021
Feb 4, 2021 AAAI 2021: 2 paper main + 1 demo. Check our AdapterBot
Dec 4, 2020 We are presenting the NeurIPS Tutorial on Conversational AI.
Oct 2, 2020 4 papers accepted at EMNLP2020 (3 findings and 1 main)
Aug 10, 2020 My first blog post on few-shot learning with LMs is out!
Feb 2, 2020 GO-Explore for text-based games got accepted in IJCAI 2020
Dec 10, 2019 Attention over Parameters won the Best Paper Award at ConvAI-NeurIPS 2019.
Oct 2, 2019 3 papers accepted at EMNLP2019!