Donald Metzler
Donald Metzler is a Senior Staff Research Scientist at Google Inc. Prior to that, he was a Research Assistant Professor at the University of Southern California (USC) and a Senior Research Scientist at Yahoo!. He has served as the Program Chair of the WSDM, ICTIR, and OAIR conferences and sat on the editorial boards of all the major journals in his field. He has published over 100 research papers, has been awarded 9 patents, and is a co-author of "Search Engines: Information Retrieval in Practice".
He currently leads a research group focused on a variety of problems at the intersection of machine learning, natural language processing, and information retrieval.
Authored Publications
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Google
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Michael Bendersky
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (2024)
SEMQA: Semi-Extractive Multi-Source Question Answering
Haitian Sun
NAACL (2024) (to appear)
PaRaDe: Passage Ranking using Demonstrations with Large Language Models
Andrew Drozdov
Zhuyun Dai
Razieh Negin Rahimi
Andrew McCallum
Mohit Iyyer
EMNLP 2023 (Findings)
Understanding Generative Retrieval at Scale
Ronak Pradeep
Jimmy Lin
EMNLP 2023
UL2: Unifying Language Learning Paradigms
Yi Tay
Xavier Garcia
Jason Wei
Hyung Won Chung
Steven Zheng
Neil Houlsby
ICLR (2023)
DSI++: Updating Transformer Memory with New Documents
Yi Tay
Jinfeng Rao
Emma Strubell
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi
Yi Tay
Jinfeng Rao
Steven Zheng
Jianmo Ni
Sebastian Ruder
ICLR 2022
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
Tao Chen
Cicero Nogueira dos Santos
Yi Tay
ACL: Findings 2022 (2022)
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification
Yi Tay
Chaitanya Kamath
Shailesh Bavadekar
Evgeniy Gabrilovich
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (2022)
