Donald Metzler
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
94
Venues
16
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
94 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts? | Crystina Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin |
| 2024 | COLING | OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. | Yang Gao, Ji Ma, Ivan Korotkov, Keith B. Hall, Dana Alon, Donald Metzler |
| 2024 | NAACL | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky |
| 2024 | NAACL | SEMQA: Semi-Extractive Multi-Source Question Answering. | Tal Schuster, dm D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler |
| 2024 | SIGIR | Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. | Gabriel Bndict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang |
| 2023 | ACL | LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. | Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster |
| 2023 | EMNLP | PaRaDe: Passage Ranking using Demonstrations with LLMs. | Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui |
| 2023 | EMNLP | DSI++: Updating Transformer Memory with New Documents. | Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler |
| 2023 | EMNLP | How Does Generative Retrieval Scale to Millions of Passages? | Ronak Pradeep, Kai Hui, Jai Gupta, dm D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran |
| 2023 | EMNLP | Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? | Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler |
| 2023 | EMNLP | Transcending Scaling Laws with 0.1% Extra Compute. | 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 |
| 2023 | ICLR | UL2: Unifying Language Learning Paradigms. | 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 |
| 2023 | SIGIR | Surprise: Result List Truncation via Extreme Value Theory. | Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins |
| 2023 | SIGIR | [email protected] 2023: The First Workshop on Generative Information Retrieval. | Gabriel Bndict, Ruqing Zhang, Donald Metzler |
| 2022 | ACL | ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. | Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Ccero Nogueira dos Santos, Yi Tay, Donald Metzler |
| 2022 | EMNLP | Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. | Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich |
| 2022 | EMNLP | Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. | Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler |
| 2022 | ICLR | ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. | 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 |
| 2022 | ICLR | Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. | Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler |
| 2022 | ICLR | Scale Efficiently: Insights from Pretraining and Finetuning Transformers. | Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler |
| 2022 | ICLR | Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. | Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler |
| 2022 | ICML | HyperPrompt: Prompt-based Task-Conditioning of Transformers. | 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 |
| 2022 | ICTIR | Stochastic Retrieval-Conditioned Reranking. | Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang |
| 2022 | KDD | A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. | Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman |
| 2022 | SIGIR | Retrieval-Enhanced Machine Learning. | Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky |
| 2022 | WSDM | Search and Discovery in Personal Email Collections. | Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2021 | ACL | How Reliable are Model Diagnostics? | Vamsi Aribandi, Yi Tay, Donald Metzler |
| 2021 | ACL | StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. | Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville |
| 2021 | ACL | Are Pretrained Convolutions Better than Pretrained Transformers? | Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler |
| 2021 | ICLR | Long Range Arena : A Benchmark for Efficient Transformers. | Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler |
| 2021 | ICLR | HyperGrid Transformers: Towards A Single Model for Multiple Tasks. | Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan |
| 2021 | ICML | OmniNet: Omnidirectional Representations from Transformers. | Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler |
| 2021 | ICML | Synthesizer: Rethinking Self-Attention for Transformer Models. | Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng |
| 2021 | WSDM | Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. | Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins |
| 2020 | ACL | Reverse Engineering Configurations of Neural Text Generation Models. | Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins |
| 2020 | ICML | Sparse Sinkhorn Attention. | Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan |
| 2020 | KDD | Improving Recommendation Quality in Google Drive. | Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso |
| 2020 | KDD | Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. | Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang |
| 2020 | KDD | Multitask Mixture of Sequential Experts for User Activity Streams. | Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin |
| 2020 | WWW | Stabilizing Neural Search Ranking Models. | Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler |
| 2020 | WWW | Matching Cross Network for Learning to Rank in Personal Search. | Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler |
| 2020 | SIGIR | Choppy: Cut Transformer for Ranked List Truncation. | Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins |
| 2020 | WSDM | Parameter Tuning in Personal Search Systems. | Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler |
| 2020 | WSDM | Separate and Attend in Personal Email Search. | Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler |
| 2019 | KDD | Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. | Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler |
| 2019 | WWW | Personalized Online Spell Correction for Personal Search. | Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler |
| 2019 | SIGIR | Revisiting Online Personal Search Metrics with the User in Mind. | Azin Ashkan, Donald Metzler |
| 2019 | SIGIR | Multi-view Embedding-based Synonyms for Email Search. | Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork |
| 2019 | SIGIR | Domain Adaptation for Enterprise Email Search. | Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler |
| 2018 | CIKM | Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. | Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler |
| 2018 | IJCAI | Learning with Sparse and Biased Feedback for Personal Search. | Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2018 | WSDM | Position Bias Estimation for Unbiased Learning to Rank in Personal Search. | Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork |
| 2017 | WSDM | Learning from User Interactions in Personal Search via Attribute Parameterization. | Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork |
| 2016 | SIGIR | Learning to Rank with Selection Bias in Personal Search. | Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork |
| 2014 | WWW | Learning to efficiently rank on big data. | Lidan Wang, Jimmy Lin, Donald Metzler, Jiawei Han |
| 2012 | CoNEXT | FindAll: a local search engine for mobile phones. | Aruna Balasubramanian, Niranjan Balasubramanian, Samuel J. Huston, Donald Metzler, David Wetherall |
| 2012 | NAACL | Structured Event Retrieval over Microblog Archives. | Donald Metzler, Congxing Cai, Eduard H. Hovy |
| 2012 | SIGIR | Experimental methods for information retrieval. | Donald Metzler, Oren Kurland |
| 2012 | WSDM | Effective query formulation with multiple information sources. | Michael Bendersky, Donald Metzler, W. Bruce Croft |
| 2011 | ACL | An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques. | Donald Metzler, Eduard H. Hovy, Chunliang Zhang |
| 2011 | CIKM | When close enough is good enough: approximate positional indexes for efficient ranked retrieval. | Tamer Elsayed, Jimmy Lin, Donald Metzler |
| 2011 | EMNLP | Unsupervised Mining of Lexical Variants from Noisy Text. | Stephan Gouws, Eduard H. Hovy, Donald Metzler |
| 2011 | SIGIR | Pseudo test collections for learning web search ranking functions. | Sebastian Bruch, Donald Metzler, Tamer Elsayed, Jimmy Lin |
| 2011 | SIGIR | Cross-corpus relevance projection. | Sebastian Bruch, Donald Metzler, Jimmy Lin |
| 2011 | SIGIR | Parameterized concept weighting in verbose queries. | Michael Bendersky, Donald Metzler, W. Bruce Croft |
| 2011 | SIGIR | A cascade ranking model for efficient ranked retrieval. | Lidan Wang, Jimmy Lin, Donald Metzler |
| 2010 | CIKM | Exploiting site-level information to improve web search. | Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, George Mavromatis, Donald Metzler, Jane Wang |
| 2010 | CIKM | Improved latent concept expansion using hierarchical markov random fields. | Hao Lang, Donald Metzler, Bin Wang, Jin-Tao Li |
| 2010 | CIKM | Ranking under temporal constraints. | Lidan Wang, Donald Metzler, Jimmy Lin |
| 2010 | WWW | The anatomy of an ad: structured indexing and retrieval for sponsored search. | Michael Bendersky, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler |
| 2010 | SIGIR | Relevance and ranking in online dating systems. | Fernando Diaz, Donald Metzler, Sihem Amer-Yahia |
| 2010 | SIGIR | Learning to efficiently rank. | Lidan Wang, Jimmy Lin, Donald Metzler |
| 2010 | WSDM | Learning concept importance using a weighted dependence model. | Michael Bendersky, Donald Metzler, W. Bruce Croft |
| 2010 | WSDM | Measuring the reusability of test collections. | Ben Carterette, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler |
| 2009 | ICTIR | Semi-parametric and Non-parametric Term Weighting for Information Retrieval. | Donald Metzler, Hugo Zaragoza |
| 2009 | NAACL | Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. | Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie |
| 2009 | WWW | Online expansion of rare queries for sponsored search. | Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler, Lance Riedel, Jeffrey Yuan |
| 2009 | SIGIR | Improving search relevance for implicitly temporal queries. | Donald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang Zhang |
| 2009 | SIGIR | Building enriched document representations using aggregated anchor text. | Donald Metzler, Jasmine Novak, Hang Cui, Srihari Reddy |
| 2008 | CIKM | To swing or not to swing: learning when (not) to advertise. | Andrei Z. Broder, Massimiliano Ciaramita, Marcus Fontoura, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler, Vanessa Murdock, Vassilis Plachouras |
| 2008 | CIKM | Generalized inverse document frequency. | Donald Metzler |
| 2008 | ECIR | A Statistical View of Binned Retrieval Models. | Donald Metzler, Trevor Strohman, W. Bruce Croft |
| 2007 | CIKM | Automatic feature selection in the markov random field model for information retrieval. | Donald Metzler |
| 2007 | ECIR | Similarity Measures for Short Segments of Text. | Donald Metzler, Susan T. Dumais, Christopher Meek |
| 2007 | IJCAI | Pseudo-Aligned Multilingual Corpora. | Fernando Diaz, Donald Metzler |
| 2007 | SIGIR | Using gradient descent to optimize language modeling smoothing parameters. | Donald Metzler |
| 2007 | SIGIR | Latent concept expansion using markov random fields. | Donald Metzler, W. Bruce Croft |
| 2006 | AAAI | Beyond Bags of Words: Modeling Implicit User Preferences in Information Retrieval. | Donald Metzler, W. Bruce Croft |
| 2006 | CIKM | Estimation, sensitivity, and generalization in parameterized retrieval models. | Donald Metzler |
| 2006 | SIGIR | Improving the estimation of relevance models using large external corpora. | Fernando Diaz, Donald Metzler |
| 2005 | CIKM | Similarity measures for tracking information flow. | Donald Metzler, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, Justin Zobel |
| 2005 | SIGIR | The recap system for identifying information flow. | Donald Metzler, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, Justin Zobel |
| 2005 | SIGIR | A Markov random field model for term dependencies. | Donald Metzler, W. Bruce Croft |
| 2004 | SIGIR | Formal multiple-bernoulli models for language modeling. | Donald Metzler, Victor Lavrenko, W. Bruce Croft |