Donald Metzler

171 papers A* 54A 23Misc 3Journal 60Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke
2025	J	`jnl`	Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. ACM Trans. Inf. Syst. Wenjie Wang, Zheng Liu, Fuli Feng, Zhicheng Dou, Qingyao Ai, Grace Hui Yang, Defu Lian, Lu Hou, Aixin Sun, Hamed Zamani, Donald Metzler, Maarten de Rijke
2025	J	`jnl`	Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. CoRR Krisztian Balog, Donald Metzler, Zhen Qin
2025	—	`conf`	Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts? NAACL (Findings) Crystina Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin
2024	J	`jnl`	A Watermark for Black-Box Language Models. CoRR Dara Bahri, John Wieting, Dana Alon, Donald Metzler
2024	J	`jnl`	Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data. CoRR Tim Baumgärtner, Yang Gao, Dana Alon, Donald Metzler
2024	A*	`conf`	Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. SIGIR Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang
2024	J	`jnl`	Impact of Preference Noise on the Alignment Performance of Generative Language Models. CoRR Yang Gao, Dana Alon, Donald Metzler
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) 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	—	`conf`	OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. LREC/COLING Yang Gao, Ji Ma, Ivan Korotkov, Keith B. Hall, Dana Alon, Donald Metzler
2024	—	`conf`	SEMQA: Semi-Extractive Multi-Source Question Answering. NAACL-HLT Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler
2024	—	`ch.`	Searching Personal Collections. Information Retrieval: Advanced Topics and Techniques Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2024	J	`jnl`	Searching Personal Collections. CoRR Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2024	J	`jnl`	Tomato, Tomahto, Tomate: Measuring the Role of Shared Semantics among Subwords in Multilingual Language Models. CoRR Xinyu Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin
2023	A*	`conf`	DSI++: Updating Transformer Memory with New Documents. EMNLP Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2023	J	`jnl`	Efficient Transformers: A Survey. ACM Comput. Surv. Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
2023	J	`jnl`	Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval. CoRR Gabriel Bénédict, Ruqing Zhang, Donald Metzler
2023	A*	`conf`	How Does Generative Retrieval Scale to Millions of Passages? EMNLP Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	J	`jnl`	How Does Generative Retrieval Scale to Millions of Passages? CoRR Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	—	`conf`	LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. ACL (1) Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster
2023	J	`jnl`	LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. CoRR Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster
2023	J	`jnl`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023	—	`conf`	PaRaDe: Passage Ranking using Demonstrations with LLMs. EMNLP (Findings) Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023	J	`jnl`	PaRaDe: Passage Ranking using Demonstrations with Large Language Models. CoRR Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui
2023	J	`jnl`	Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. SIGIR Forum Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Romain Deffayet, Philipp Hager, Sami Jullien
2023	J	`jnl`	SEMQA: Semi-Extractive Multi-Source Question Answering. CoRR Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler
2023	—	`conf`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2023	A*	`conf`	Surprise: Result List Truncation via Extreme Value Theory. SIGIR Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
2023	A*	`conf`	Transcending Scaling Laws with 0.1% Extra Compute. EMNLP 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	A*	`conf`	UL2: Unifying Language Learning Paradigms. ICLR 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	A*	`conf`	[email protected] 2023: The First Workshop on Generative Information Retrieval. SIGIR Gabriel Bénédict, Ruqing Zhang, Donald Metzler
2022	A*	`conf`	A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. KDD Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
2022	J	`jnl`	A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. CoRR Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
2022	J	`jnl`	Atomized Search Length: Beyond User Models. CoRR John Alex, Keith B. Hall, Donald Metzler
2022	J	`jnl`	Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR 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
2022	A*	`conf`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2022	A*	`conf`	Confident Adaptive Language Modeling. NeurIPS Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler
2022	J	`jnl`	Confident Adaptive Language Modeling. CoRR Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler
2022	J	`jnl`	DSI++: Updating Transformer Memory with New Documents. CoRR Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2022	—	`conf`	Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. EMNLP (Industry Track) Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich
2022	J	`jnl`	Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. CoRR Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Q. Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich
2022	—	`conf`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) 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
2022	J	`jnl`	Emergent Abilities of Large Language Models. CoRR 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
2022	J	`jnl`	Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. 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
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR 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	A*	`conf`	HyperPrompt: Prompt-based Task-Conditioning of Transformers. ICML 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	J	`jnl`	HyperPrompt: Prompt-based Task-Conditioning of Transformers. CoRR 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	A*	`conf`	Retrieval-Enhanced Machine Learning. SIGIR Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
2022	J	`jnl`	Retrieval-Enhanced Machine Learning. CoRR Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
2022	A*	`conf`	Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2022	J	`jnl`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2022	A*	`conf`	Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. ICLR Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
2022	A	`conf`	Search and Discovery in Personal Email Collections. WSDM Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2022	Misc	`conf`	Stochastic Retrieval-Conditioned Reranking. ICTIR Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang
2022	—	`conf`	Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. EMNLP (Findings) Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler
2022	J	`jnl`	Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. CoRR Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler
2022	J	`jnl`	Transcending Scaling Laws with 0.1% Extra Compute. CoRR 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
2022	A*	`conf`	Transformer Memory as a Differentiable Search Index. NeurIPS 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
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR 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
2022	J	`jnl`	Unifying Language Learning Paradigms. CoRR Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler
2021	J	`jnl`	Are Pre-trained Convolutions Better than Pre-trained Transformers? CoRR Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
2021	—	`conf`	Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler
2021	J	`jnl`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR 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
2021	A	`conf`	Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. WSDM Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins
2021	—	`conf`	How Reliable are Model Diagnostics? ACL/IJCNLP (Findings) Vamsi Aribandi, Yi Tay, Donald Metzler
2021	J	`jnl`	How Reliable are Model Diagnostics? CoRR Vamsi Aribandi, Yi Tay, Donald Metzler
2021	A*	`conf`	HyperGrid Transformers: Towards A Single Model for Multiple Tasks. ICLR Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
2021	J	`jnl`	Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. CoRR Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
2021	A*	`conf`	Long Range Arena : A Benchmark for Efficient Transformers. ICLR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2021	A*	`conf`	OmniNet: Omnidirectional Representations from Transformers. ICML Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
2021	J	`jnl`	OmniNet: Omnidirectional Representations from Transformers. CoRR Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
2021	J	`jnl`	Rethinking Search: Making Experts out of Dilettantes. CoRR Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
2021	J	`jnl`	Rethinking search: making domain experts out of dilettantes. SIGIR Forum Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
2021	J	`jnl`	SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption. CoRR Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
2021	J	`jnl`	Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2021	J	`jnl`	Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2021	—	`conf`	StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. ACL/IJCNLP (1) Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
2021	A*	`conf`	Synthesizer: Rethinking Self-Attention for Transformer Models. ICML Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
2021	J	`jnl`	The Benchmark Lottery. CoRR Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
2020	A*	`conf`	Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. KDD Zhen Qin, Suming J. Chen, Donald Metzler, Yongwoo Noh, Jingzheng Qin, Xuanhui Wang
2020	J	`jnl`	Choppy: Cut Transformer For Ranked List Truncation. CoRR Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
2020	A*	`conf`	Choppy: Cut Transformer for Ranked List Truncation. SIGIR Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
2020	J	`jnl`	Efficient Transformers: A Survey. CoRR Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
2020	J	`jnl`	Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. CoRR Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins
2020	J	`jnl`	HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
2020	A*	`conf`	Improving Recommendation Quality in Google Drive. KDD Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso
2020	J	`jnl`	Long Range Arena: A Benchmark for Efficient Transformers. CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2020	A*	`conf`	Matching Cross Network for Learning to Rank in Personal Search. WWW Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler
2020	A*	`conf`	Multitask Mixture of Sequential Experts for User Activity Streams. KDD Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin
2020	A	`conf`	Parameter Tuning in Personal Search Systems. WSDM Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler
2020	A*	`conf`	Reverse Engineering Configurations of Neural Text Generation Models. ACL Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
2020	J	`jnl`	Reverse Engineering Configurations of Neural Text Generation Models. CoRR Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
2020	A	`conf`	Separate and Attend in Personal Email Search. WSDM Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2020	A*	`conf`	Sparse Sinkhorn Attention. ICML Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
2020	J	`jnl`	Sparse Sinkhorn Attention. CoRR Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
2020	A*	`conf`	Stabilizing Neural Search Ranking Models. WWW Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler
2020	J	`jnl`	StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. CoRR Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
2020	J	`jnl`	Surprise: Result List Truncation via Extreme Value Theory. CoRR Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
2020	J	`jnl`	Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
2019	A*	`conf`	Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
2019	A*	`conf`	Domain Adaptation for Enterprise Email Search. SIGIR Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler
2019	J	`jnl`	Domain Adaptation for Enterprise Email Search. CoRR Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler
2019	A*	`conf`	Multi-view Embedding-based Synonyms for Email Search. SIGIR Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
2019	A*	`conf`	Personalized Online Spell Correction for Personal Search. WWW Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler
2019	A*	`conf`	Revisiting Online Personal Search Metrics with the User in Mind. SIGIR Azin Ashkan, Donald Metzler
2019	J	`jnl`	Separate and Attend in Personal Email Search. CoRR Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2018	A*	`conf`	Learning with Sparse and Biased Feedback for Personal Search. IJCAI Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2018	A	`conf`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	J	`jnl`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	A	`conf`	Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork
2017	A	`conf`	Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork
2016	A*	`conf`	Learning to Rank with Selection Bias in Personal Search. SIGIR Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork
2014	—	`conf`	Learning to efficiently rank on big data. WWW (Companion Volume) Lidan Wang, Jimmy Lin, Donald Metzler, Jiawei Han
2014	A	`ed.`	Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014 WSDM Ben Carterette, Fernando Diaz, Carlos Castillo, Donald Metzler
2013	Misc	`ed.`	International Conference on the Theory of Information Retrieval, ICTIR '13, Copenhagen, Denmark, September 29 - October 02, 2013 ICTIR Oren Kurland, Donald Metzler, Christina Lioma, Birger Larsen, Peter Ingwersen
2012	—	`conf`	Data integration from open internet sources to combat sex trafficking of minors. DG.O Hao Wang, Congxing Cai, Andrew Philpot, Mark Latonero, Eduard H. Hovy, Donald Metzler
2012	A	`conf`	Effective query formulation with multiple information sources. WSDM Michael Bendersky, Donald Metzler, W. Bruce Croft
2012	A*	`conf`	Experimental methods for information retrieval. SIGIR Donald Metzler, Oren Kurland
2012	A	`conf`	FindAll: a local search engine for mobile phones. CoNEXT Aruna Balasubramanian, Niranjan Balasubramanian, Samuel J. Huston, Donald Metzler, David Wetherall
2012	—	`conf`	Structured Event Retrieval over Microblog Archives. HLT-NAACL Donald Metzler, Congxing Cai, Eduard H. Hovy
2011	—	`book`	A Feature-Centric View of Information Retrieval Donald Metzler
2011	A*	`conf`	A cascade ranking model for efficient ranked retrieval. SIGIR Lidan Wang, Jimmy Lin, Donald Metzler
2011	—	`conf`	An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques. ACL (2) Donald Metzler, Eduard H. Hovy, Chunliang Zhang
2011	A*	`conf`	Cross-corpus relevance projection. SIGIR Sebastian Bruch, Donald Metzler, Jimmy Lin
2011	A*	`conf`	Parameterized concept weighting in verbose queries. SIGIR Michael Bendersky, Donald Metzler, W. Bruce Croft
2011	A*	`conf`	Pseudo test collections for learning web search ranking functions. SIGIR Sebastian Bruch, Donald Metzler, Tamer Elsayed, Jimmy Lin
2011	—	`conf`	USC/ISI at TREC 2011: Microblog Track. TREC Donald Metzler, Congxing Cai
2011	—	`conf`	Unsupervised Mining of Lexical Variants from Noisy Text. ULNLP@EMNLP Stephan Gouws, Eduard H. Hovy, Donald Metzler
2011	A	`conf`	When close enough is good enough: approximate positional indexes for efficient ranked retrieval. CIKM Tamer Elsayed, Jimmy Lin, Donald Metzler
2010	A	`conf`	Exploiting site-level information to improve web search. CIKM Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, George Mavromatis, Donald Metzler, Jane Wang
2010	A	`conf`	Improved latent concept expansion using hierarchical markov random fields. CIKM Hao Lang, Donald Metzler, Bin Wang, Jin-Tao Li
2010	A	`conf`	Learning concept importance using a weighted dependence model. WSDM Michael Bendersky, Donald Metzler, W. Bruce Croft
2010	A*	`conf`	Learning to efficiently rank. SIGIR Lidan Wang, Jimmy Lin, Donald Metzler
2010	A	`conf`	Measuring the reusability of test collections. WSDM Ben Carterette, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler
2010	A	`conf`	Ranking under temporal constraints. CIKM Lidan Wang, Donald Metzler, Jimmy Lin
2010	A*	`conf`	Relevance and ranking in online dating systems. SIGIR Fernando Diaz, Donald Metzler, Sihem Amer-Yahia
2010	A*	`conf`	The anatomy of an ad: structured indexing and retrieval for sponsored search. WWW Michael Bendersky, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler
2010	—	`conf`	UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory. TREC Tamer Elsayed, Sebastian Bruch, Lidan Wang, Jimmy Lin, Donald Metzler
2009	A*	`conf`	Building enriched document representations using aggregated anchor text. SIGIR Donald Metzler, Jasmine Novak, Hang Cui, Srihari Reddy
2009	A*	`conf`	Improving search relevance for implicitly temporal queries. SIGIR Donald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang Zhang
2009	—	`conf`	Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search. TREC Jimmy Lin, Tamer Elsayed, Lidan Wang, Donald Metzler
2009	A*	`conf`	Online expansion of rare queries for sponsored search. WWW Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler, Lance Riedel, Jeffrey Yuan
2009	—	`conf`	Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. HLT-NAACL (Short Papers) Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie
2009	—	`book`	Search Engines - Information Retrieval in Practice. W. Bruce Croft, Donald Metzler, Trevor Strohman
2009	Misc	`conf`	Semi-parametric and Non-parametric Term Weighting for Information Retrieval. ICTIR Donald Metzler, Hugo Zaragoza
2008	A	`conf`	A Statistical View of Binned Retrieval Models. ECIR Donald Metzler, Trevor Strohman, W. Bruce Croft
2008	J	`jnl`	Beyond bags of words: effectively modeling dependence and features in information retrieval. SIGIR Forum Donald Metzler
2008	A	`conf`	Generalized inverse document frequency. CIKM Donald Metzler
2008	A	`conf`	To swing or not to swing: learning when (not) to advertise. CIKM Andrei Z. Broder, Massimiliano Ciaramita, Marcus Fontoura, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler, Vanessa Murdock, Vassilis Plachouras
2007	A	`conf`	Automatic feature selection in the markov random field model for information retrieval. CIKM Donald Metzler
2007	—	`conf`	CIIR Experiments for TREC Legal 2007. TREC Howard R. Turtle, Donald Metzler
2007	A*	`conf`	Latent concept expansion using markov random fields. SIGIR Donald Metzler, W. Bruce Croft
2007	J	`jnl`	Linear feature-based models for information retrieval. Inf. Retr. Donald Metzler, W. Bruce Croft
2007	A*	`conf`	Pseudo-Aligned Multilingual Corpora. IJCAI Fernando Diaz, Donald Metzler
2007	A	`conf`	Similarity Measures for Short Segments of Text. ECIR Donald Metzler, Susan T. Dumais, Christopher Meek
2007	A*	`conf`	Using gradient descent to optimize language modeling smoothing parameters. SIGIR Donald Metzler
2006	A*	`conf`	Beyond Bags of Words: Modeling Implicit User Preferences in Information Retrieval. AAAI Donald Metzler, W. Bruce Croft
2006	A	`conf`	Estimation, sensitivity, and generalization in parameterized retrieval models. CIKM Donald Metzler
2006	A*	`conf`	Improving the estimation of relevance models using large external corpora. SIGIR Fernando Diaz, Donald Metzler
2006	—	`conf`	Indri TREC Notebook 2006: Lessons Learned From Three Terabyte Tracks. TREC Donald Metzler, Trevor Strohman, W. Bruce Croft
2005	A*	`conf`	A Markov random field model for term dependencies. SIGIR Donald Metzler, W. Bruce Croft
2005	J	`jnl`	Analysis of Statistical Question Classification for Fact-Based Questions. Inf. Retr. Donald Metzler, W. Bruce Croft
2005	—	`conf`	Indri at TREC 2005: Terabyte Track. TREC Donald Metzler, Trevor Strohman, Yun Zhou, W. Bruce Croft
2005	A	`conf`	Similarity measures for tracking information flow. CIKM Donald Metzler, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, Justin Zobel
2005	A*	`conf`	The recap system for identifying information flow. SIGIR Donald Metzler, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, Justin Zobel
2005	—	`conf`	UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion. TREC Donald Metzler, Fernando Diaz, Trevor Strohman, W. Bruce Croft
2004	—	`conf`	An Inference Network Approach to Image Retrieval. CIVR Donald Metzler, R. Manmatha
2004	J	`jnl`	Combining the language model and inference network approaches to retrieval. Inf. Process. Manag. Donald Metzler, W. Bruce Croft
2004	A*	`conf`	Formal multiple-bernoulli models for language modeling. SIGIR Donald Metzler, Victor Lavrenko, W. Bruce Croft
2004	—	`conf`	Indri at TREC 2004: Terabyte Track. TREC Donald Metzler, Trevor Strohman, Howard R. Turtle, W. Bruce Croft