Donald Metzler

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 104

Top Venues

Publications

Yang Gao, Ji Ma, Ivan Korotkov, Keith B. Hall, Dana Alon, Donald Metzler
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. LREC/COLING (2024)
Yang Gao, Dana Alon, Donald Metzler
Impact of Preference Noise on the Alignment Performance of Generative Language Models. CoRR (2024)
Tim Baumgärtner, Yang Gao, Dana Alon, Donald Metzler
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data. CoRR (2024)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang
Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. SIGIR (2024)
Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler
SEMQA: Semi-Extractive Multi-Source Question Answering. NAACL-HLT (2024)
Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
Efficient Transformers: A Survey. ACM Comput. Surv. 55 (6) (2023)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR (2023)
Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler
SEMQA: Semi-Extractive Multi-Source Question Answering. CoRR (2023)
Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. EMNLP (2023)
Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. EMNLP (2023)
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler
UL2: Unifying Language Learning Paradigms. ICLR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) (2023)
Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) (2023)
Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. ACL (1) (2023)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Romain Deffayet, Philipp Hager, Sami Jullien
Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. SIGIR Forum 57 (2) (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? EMNLP (2023)
Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
Surprise: Result List Truncation via Extreme Value Theory. SIGIR (2023)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler
[email protected] 2023: The First Workshop on Generative Information Retrieval. SIGIR (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? CoRR (2023)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval. CoRR (2023)
Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. CoRR (2023)
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR (2022)
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR (2022)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Search and Discovery in Personal Email Collections. WSDM (2022)
Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Donald Metzler
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) (2022)
Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. CoRR (2022)
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR (2022)
John Alex, Keith Hall, Donald Metzler
Atomized Search Length: Beyond User Models. CoRR (2022)
Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang
Stochastic Retrieval-Conditioned Reranking. ICTIR (2022)
Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi
HyperPrompt: Prompt-based Task-Conditioning of Transformers. CoRR (2022)
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler
Unifying Language Learning Paradigms. CoRR (2022)
Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. ICLR (2022)
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. 2022 (2022)
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. CoRR (2022)
Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. EMNLP (Industry Track) (2022)
Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. NeurIPS (2022)
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
Emergent Abilities of Large Language Models. CoRR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. CoRR (2022)
Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler
Confident Adaptive Language Modeling. NeurIPS (2022)
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. KDD (2022)
Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. CoRR (2022)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR (2022)
Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. CoRR (2022)
Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. CoRR (2022)
Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. EMNLP (Findings) (2022)
Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Q. Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. CoRR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. SIGIR (2022)
Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler
Confident Adaptive Language Modeling. CoRR (2022)
Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi
HyperPrompt: Prompt-based Task-Conditioning of Transformers. ICML (2022)
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR (2022)
Vamsi Aribandi, Yi Tay, Donald Metzler
How Reliable are Model Diagnostics? CoRR (2021)
Vamsi Aribandi, Yi Tay, Donald Metzler
How Reliable are Model Diagnostics? ACL/IJCNLP (Findings) (2021)
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
The Benchmark Lottery. CoRR (2021)
Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. ACL/IJCNLP (1) (2021)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. 15 (1) (2021)
Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
Rethinking search: making domain experts out of dilettantes. SIGIR Forum 55 (1) (2021)
Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler
Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) (2021)
Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. CoRR (2021)
Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
HyperGrid Transformers: Towards A Single Model for Multiple Tasks. ICLR (2021)
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR (2021)
Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
Are Pre-trained Convolutions Better than Pre-trained Transformers? CoRR (2021)
Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption. CoRR (2021)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. CoRR (2021)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena : A Benchmark for Efficient Transformers. ICLR (2021)
Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. WSDM (2021)
Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
Synthesizer: Rethinking Self-Attention for Transformer Models. ICML (2021)
Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
Rethinking Search: Making Experts out of Dilettantes. CoRR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. ICML (2021)
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR (2021)
Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
Choppy: Cut Transformer for Ranked List Truncation. SIGIR (2020)
Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler
Stabilizing Neural Search Ranking Models. WWW (2020)
Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR (2020)
Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR (2020)
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
Sparse Sinkhorn Attention. ICML (2020)
Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler
Matching Cross Network for Learning to Rank in Personal Search. WWW (2020)
Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. CoRR (2020)
Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin
Multitask Mixture of Sequential Experts for User Activity Streams. KDD (2020)
Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler
Parameter Tuning in Personal Search Systems. WSDM (2020)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena: A Benchmark for Efficient Transformers. CoRR (2020)
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
Separate and Attend in Personal Email Search. WSDM (2020)
Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
Surprise: Result List Truncation via Extreme Value Theory. CoRR (2020)
Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
Efficient Transformers: A Survey. CoRR (2020)
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
Reverse Engineering Configurations of Neural Text Generation Models. CoRR (2020)
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
Sparse Sinkhorn Attention. CoRR (2020)
Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
Choppy: Cut Transformer For Ranked List Truncation. CoRR (2020)
Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso
Improving Recommendation Quality in Google Drive. KDD (2020)
Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. CoRR (2020)
Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang
Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. KDD (2020)
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
Reverse Engineering Configurations of Neural Text Generation Models. ACL (2020)
Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler
Domain Adaptation for Enterprise Email Search. SIGIR (2019)
Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
Separate and Attend in Personal Email Search. CoRR (2019)
Azin Ashkan, Donald Metzler
Revisiting Online Personal Search Metrics with the User in Mind. SIGIR (2019)
Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler
Domain Adaptation for Enterprise Email Search. CoRR (2019)
Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD (2019)
Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
Multi-view Embedding-based Synonyms for Email Search. SIGIR (2019)
Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler
Personalized Online Spell Correction for Personal Search. WWW (2019)
Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM (2018)
Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR (2018)

Donald Metzler.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Donald Metzler