default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDonald Metzler
Don Metzler
2020 – today
- 2024
[c105]Yang Gao, Ji Ma, Ivan Korotkov, Keith B. Hall, Dana Alon, Donald Metzler:
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. LREC/COLING 2024: 12467-12480- [c104]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: 1363-1381 - [c103]Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky:
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) 2024: 1504-1518 - [c102]Gabriel Bénédict
, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang:
Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. SIGIR 2024: 3029-3032 - [p1]Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang:
Searching Personal Collections. Information Retrieval: Advanced Topics and Techniques 2024: 515-538 - [i51]Tim Baumgärtner, Yang Gao, Dana Alon, Donald Metzler:
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data. CoRR abs/2404.05530 (2024) - [i50]Yang Gao, Dana Alon, Donald Metzler:
Impact of Preference Noise on the Alignment Performance of Generative Language Models. CoRR abs/2404.09824 (2024) - [i49]Dara Bahri, John Wieting, Dana Alon, Donald Metzler:
A Watermark for Black-Box Language Models. CoRR abs/2410.02099 (2024) - [i48]Xinyu Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin:
Tomato, Tomahto, Tomate: Measuring the Role of Shared Semantics among Subwords in Multilingual Language Models. CoRR abs/2411.04530 (2024) - [i47]Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang:
Searching Personal Collections. CoRR abs/2412.12330 (2024) - 2023
- [j9]Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler:
Efficient Transformers: A Survey. ACM Comput. Surv. 55(6): 109:1-109:28 (2023) - [j8]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): 13:1-13:23 (2023) - [c101]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: 10251-10269 - [c100]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: 1305-1321 - [c99]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. EMNLP 2023: 1471-1486 - [c98]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: 8198-8213 - [c97]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: 12342-12364 - [c96]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: 14242-14252 - [c95]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 - [c94]Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins:
Surprise: Result List Truncation via Extreme Value Theory. SIGIR 2023: 2404-2408 - [c93]Gabriel Bénédict, Ruqing Zhang, Donald Metzler:
[email protected] 2023: The First Workshop on Generative Information Retrieval. SIGIR 2023: 3460-3463 - [i46]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 abs/2305.11841 (2023) - [i45]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 abs/2305.19585 (2023) - [i44]Gabriel Bénédict, Ruqing Zhang, Donald Metzler:
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval. CoRR abs/2306.02887 (2023) - [i43]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 abs/2306.17563 (2023) - [i42]Yang Gao, Ji Ma, Ivan Korotkov, Keith B. Hall, Dana Alon, Don Metzler:
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. CoRR abs/2309.10539 (2023) - [i41]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 abs/2310.14408 (2023) - [i40]Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler:
SEMQA: Semi-Extractive Multi-Source Question Answering. CoRR abs/2311.04886 (2023) - 2022
- [j7]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) - [c92]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: 3747-3758 - [c91]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: 394-412 - [c90]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: 521-530 - [c89]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 - [c88]Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. ICLR 2022 - [c87]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 - [c86]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 - [c85]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: 8678-8690 - [c84]Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang:
Stochastic Retrieval-Conditioned Reranking. ICTIR 2022: 81-91 - [c83]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: 3197-3207 - [c82]Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler:
Confident Adaptive Language Modeling. NeurIPS 2022 - [c81]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 - [c80]Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. SIGIR 2022: 2875-2886 - [c79]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. WSDM 2022: 1617-1619 - [i39]John Alex, Keith B. Hall, Donald Metzler:
Atomized Search Length: Beyond User Models. CoRR abs/2201.01745 (2022) - [i38]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 abs/2202.06991 (2022) - [i37]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 abs/2202.11176 (2022) - [i36]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 abs/2203.00759 (2022) - [i35]Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Donald Metzler:
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. CoRR abs/2204.07447 (2022) - [i34]Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Don Metzler:
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. CoRR abs/2204.11458 (2022) - [i33]Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. CoRR abs/2205.01230 (2022) - [i32]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 abs/2205.05131 (2022) - [i31]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 abs/2206.07682 (2022) - [i30]Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler:
Confident Adaptive Language Modeling. CoRR abs/2207.07061 (2022) - [i29]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 abs/2207.10551 (2022) - [i28]Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler:
Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR abs/2210.05145 (2022) - [i27]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 abs/2210.11399 (2022) - [i26]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 abs/2212.08037 (2022) - [i25]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 abs/2212.09744 (2022) - [i24]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 abs/2212.13898 (2022) - 2021
- [j6]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. 15(1): 1-133 (2021) - [j5]Donald Metzler, Yi Tay, Dara Bahri, Marc Najork:
Rethinking search: making domain experts out of dilettantes. SIGIR Forum 55(1): 13:1-13:27 (2021) - [c78]Vamsi Aribandi, Yi Tay, Donald Metzler:
How Reliable are Model Diagnostics? ACL/IJCNLP (Findings) 2021: 1778-1785 - [c77]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: 4349-4359 - [c76]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: 7196-7209 - [c75]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 - [c74]Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan:
HyperGrid Transformers: Towards A Single Model for Multiple Tasks. ICLR 2021 - [c73]Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng:
Synthesizer: Rethinking Self-Attention for Transformer Models. ICML 2021: 10183-10192 - [c72]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: 10193-10202 - [c71]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: 301-309 - [i23]Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. CoRR abs/2102.05131 (2021) - [i22]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 abs/2103.01075 (2021) - [i21]Donald Metzler, Yi Tay, Dara Bahri, Marc Najork:
Rethinking Search: Making Experts out of Dilettantes. CoRR abs/2105.02274 (2021) - [i20]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 abs/2105.03322 (2021) - [i19]Vamsi Aribandi, Yi Tay, Donald Metzler:
How Reliable are Model Diagnostics? CoRR abs/2105.05641 (2021) - [i18]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 abs/2106.12672 (2021) - [i17]Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler:
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption. CoRR abs/2106.15147 (2021) - [i16]Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals:
The Benchmark Lottery. CoRR abs/2107.07002 (2021) - [i15]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 abs/2109.10686 (2021) - [i14]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 abs/2111.10952 (2021) - 2020
- [c70]Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins:
Reverse Engineering Configurations of Neural Text Generation Models. ACL 2020: 275-279 - [c69]Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. ICML 2020: 9438-9447 - [c68]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: 2359-2367 - [c67]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: 2900-2908 - [c66]Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin:
Multitask Mixture of Sequential Experts for User Activity Streams. KDD 2020: 3083-3091 - [c65]Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer for Ranked List Truncation. SIGIR 2020: 1513-1516 - [c64]Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler:
Parameter Tuning in Personal Search Systems. WSDM 2020: 97-105 - [c63]Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler:
Separate and Attend in Personal Email Search. WSDM 2020: 429-437 - [c62]Ruilin Li, Zhen Qin, Xuanhui Wang, Suming J. Chen, Donald Metzler:
Stabilizing Neural Search Ranking Models. WWW 2020: 2725-2732 - [c61]Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler:
Matching Cross Network for Learning to Rank in Personal Search. WWW 2020: 2835-2841 - [i13]Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. CoRR abs/2002.11296 (2020) - [i12]Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins:
Reverse Engineering Configurations of Neural Text Generation Models. CoRR abs/2004.06201 (2020) - [i11]Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer For Ranked List Truncation. CoRR abs/2004.13012 (2020) - [i10]Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng:
Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR abs/2005.00743 (2020) - [i9]Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan:
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR abs/2007.05891 (2020) - [i8]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 abs/2008.13533 (2020) - [i7]Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler:
Efficient Transformers: A Survey. CoRR abs/2009.06732 (2020) - [i6]Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins:
Surprise: Result List Truncation via Extreme Value Theory. CoRR abs/2010.09797 (2020) - [i5]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 abs/2011.04006 (2020) - [i4]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 abs/2012.00857 (2020)
2010 – 2019
- 2019
- [c60]Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler:
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD 2019: 2032-2040 - [c59]Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler:
Domain Adaptation for Enterprise Email Search. SIGIR 2019: 25-34 - [c58]Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork:
Multi-view Embedding-based Synonyms for Email Search. SIGIR 2019: 575-584 - [c57]Azin Ashkan, Donald Metzler:
Revisiting Online Personal Search Metrics with the User in Mind. SIGIR 2019: 625-634 - [c56]Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler:
Personalized Online Spell Correction for Personal Search. WWW 2019: 2785-2791 - [i3]Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler:
Domain Adaptation for Enterprise Email Search. CoRR abs/1906.07897 (2019) - [i2]Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler:
Separate and Attend in Personal Email Search. CoRR abs/1911.09732 (2019) - 2018
- [c55]Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler:
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM 2018: 2127-2135 - [c54]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Learning with Sparse and Biased Feedback for Personal Search. IJCAI 2018: 5219-5223 - [c53]Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork:
Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM 2018: 610-618 - [i1]Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler:
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR abs/1809.05618 (2018) - 2017
- [c52]Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork:
Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM 2017: 791-799 - 2016
- [c51]Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork:
Learning to Rank with Selection Bias in Personal Search. SIGIR 2016: 115-124 - 2014
- [c50]Lidan Wang, Jimmy Lin, Donald Metzler, Jiawei Han:
Learning to efficiently rank on big data. WWW (Companion Volume) 2014: 209-210 - [e2]Ben Carterette, Fernando Diaz, Carlos Castillo, Donald Metzler:
Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014. ACM 2014, ISBN 978-1-4503-2351-2 [contents] - 2013
- [e1]Oren Kurland, Donald Metzler, Christina Lioma, Birger Larsen, Peter Ingwersen:
International Conference on the Theory of Information Retrieval, ICTIR '13, Copenhagen, Denmark, September 29 - October 02, 2013. ACM 2013, ISBN 978-1-4503-2107-5 [contents] - 2012
- [c49]Aruna Balasubramanian, Niranjan Balasubramanian, Samuel J. Huston, Donald Metzler, David Wetherall:
FindAll: a local search engine for mobile phones. CoNEXT 2012: 277-288 - [c48]Hao Wang, Congxing Cai, Andrew Philpot, Mark Latonero, Eduard H. Hovy, Donald Metzler:
Data integration from open internet sources to combat sex trafficking of minors. DG.O 2012: 246-252 - [c47]Donald Metzler, Congxing Cai, Eduard H. Hovy:
Structured Event Retrieval over Microblog Archives. HLT-NAACL 2012: 646-655 - [c46]Donald Metzler, Oren Kurland:
Experimental methods for information retrieval. SIGIR 2012: 1185-1186 - [c45]Michael Bendersky, Donald Metzler, W. Bruce Croft:
Effective query formulation with multiple information sources. WSDM 2012: 443-452 - 2011
- [b2]Donald Metzler:
A Feature-Centric View of Information Retrieval. The Information Retrieval Series 27, Springer 2011, ISBN 978-3-642-22897-1, pp. 1-166 - [c44]Donald Metzler, Eduard H. Hovy, Chunliang Zhang:
An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques. ACL (2) 2011: 546-551 - [c43]Tamer Elsayed, Jimmy Lin, Donald Metzler:
When close enough is good enough: approximate positional indexes for efficient ranked retrieval. CIKM 2011: 1993-1996 - [c42]Stephan Gouws, Eduard H. Hovy, Donald Metzler:
Unsupervised Mining of Lexical Variants from Noisy Text. ULNLP@EMNLP 2011: 82-90 - [c41]Lidan Wang, Jimmy Lin, Donald Metzler:
A cascade ranking model for efficient ranked retrieval. SIGIR 2011: 105-114 - [c40]Michael Bendersky, Donald Metzler, W. Bruce Croft:
Parameterized concept weighting in verbose queries. SIGIR 2011: 605-614 - [c39]Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy Lin:
Pseudo test collections for learning web search ranking functions. SIGIR 2011: 1073-1082 - [c38]Nima Asadi, Donald Metzler, Jimmy Lin:
Cross-corpus relevance projection. SIGIR 2011: 1163-1164 - [c37]Donald Metzler, Congxing Cai:
USC/ISI at TREC 2011: Microblog Track. TREC 2011 - 2010
- [c36]Lidan Wang, Donald Metzler, Jimmy Lin:
Ranking under temporal constraints. CIKM 2010: 79-88 - [c35]Hao Lang, Donald Metzler, Bin Wang, Jin-Tao Li:
Improved latent concept expansion using hierarchical markov random fields. CIKM 2010: 249-258 - [c34]Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, George Mavromatis, Donald Metzler, Jane Wang:
Exploiting site-level information to improve web search. CIKM 2010: 1393-1396 - [c33]Fernando Diaz, Donald Metzler, Sihem Amer-Yahia:
Relevance and ranking in online dating systems. SIGIR 2010: 66-73 - [c32]Lidan Wang, Jimmy Lin, Donald Metzler:
Learning to efficiently rank. SIGIR 2010: 138-145 - [c31]Tamer Elsayed, Nima Asadi, Lidan Wang, Jimmy Lin, Donald Metzler:
UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory. TREC 2010 - [c30]Michael Bendersky, Donald Metzler, W. Bruce Croft:
Learning concept importance using a weighted dependence model. WSDM 2010: 31-40 - [c29]Ben Carterette, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler:
Measuring the reusability of test collections. WSDM 2010: 231-240 - [c28]Michael Bendersky, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler:
The anatomy of an ad: structured indexing and retrieval for sponsored search. WWW 2010: 101-110
2000 – 2009
- 2009
- [b1]W. Bruce Croft, Donald Metzler, Trevor Strohman:
Search Engines - Information Retrieval in Practice. Pearson Education 2009, ISBN 978-0-13-136489-9, pp. I-XXV, 1-524 - [c27]Donald Metzler, Hugo Zaragoza:
Semi-parametric and Non-parametric Term Weighting for Information Retrieval. ICTIR 2009: 42-53 - [c26]Ruiqiang Zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie:
Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. HLT-NAACL (Short Papers) 2009: 165-168 - [c25]Donald Metzler, Jasmine Novak, Hang Cui, Srihari Reddy:
Building enriched document representations using aggregated anchor text. SIGIR 2009: 219-226 - [c24]Donald Metzler, Rosie Jones, Fuchun Peng, Ruiqiang Zhang:
Improving search relevance for implicitly temporal queries. SIGIR 2009: 700-701 - [c23]Jimmy Lin, Tamer Elsayed, Lidan Wang, Donald Metzler:
Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search. TREC 2009 - [c22]Andrei Z. Broder, Peter Ciccolo, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler, Lance Riedel, Jeffrey Yuan:
Online expansion of rare queries for sponsored search. WWW 2009: 511-520 - 2008
- [j4]Donald Metzler:
Beyond bags of words: effectively modeling dependence and features in information retrieval. SIGIR Forum 42(1): 77 (2008) - [c21]Donald Metzler:
Generalized inverse document frequency. CIKM 2008: 399-408 - [c20]Andrei Z. Broder, Massimiliano Ciaramita, Marcus Fontoura, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler, Vanessa Murdock, Vassilis Plachouras:
To swing or not to swing: learning when (not) to advertise. CIKM 2008: 1003-1012 - [c19]Donald Metzler, Trevor Strohman, W. Bruce Croft:
A Statistical View of Binned Retrieval Models. ECIR 2008: 175-186 - 2007
- [j3]Donald Metzler, W. Bruce Croft:
Linear feature-based models for information retrieval. Inf. Retr. 10(3): 257-274 (2007) - [c18]Donald Metzler:
Automatic feature selection in the markov random field model for information retrieval. CIKM 2007: 253-262 - [c17]Donald Metzler, Susan T. Dumais, Christopher Meek:
Similarity Measures for Short Segments of Text. ECIR 2007: 16-27 - [c16]Fernando Diaz, Donald Metzler:
Pseudo-Aligned Multilingual Corpora. IJCAI 2007: 2727-2732 - [c15]Donald Metzler, W. Bruce Croft:
Latent concept expansion using markov random fields. SIGIR 2007: 311-318 - [c14]Donald Metzler:
Using gradient descent to optimize language modeling smoothing parameters. SIGIR 2007: 687-688 - [c13]Howard R. Turtle, Donald Metzler:
CIIR Experiments for TREC Legal 2007. TREC 2007 - 2006
- [c12]Donald Metzler, W. Bruce Croft:
Beyond Bags of Words: Modeling Implicit User Preferences in Information Retrieval. AAAI 2006: 1646-1649 - [c11]Donald Metzler:
Estimation, sensitivity, and generalization in parameterized retrieval models. CIKM 2006: 812-813 - [c10]Fernando Diaz, Donald Metzler:
Improving the estimation of relevance models using large external corpora. SIGIR 2006: 154-161 - [c9]Donald Metzler, Trevor Strohman, W. Bruce Croft:
Indri TREC Notebook 2006: Lessons Learned From Three Terabyte Tracks. TREC 2006 - 2005
- [j2]Donald Metzler, W. Bruce Croft:
Analysis of Statistical Question Classification for Fact-Based Questions. Inf. Retr. 8(3): 481-504 (2005) - [c8]Donald Metzler, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, Justin Zobel:
Similarity measures for tracking information flow. CIKM 2005: 517-524 - [c7]Donald Metzler, W. Bruce Croft:
A Markov random field model for term dependencies. SIGIR 2005: 472-479 - [c6]Donald Metzler, Yaniv Bernstein, W. Bruce Croft, Alistair Moffat, Justin Zobel:
The recap system for identifying information flow. SIGIR 2005: 678 - [c5]Donald Metzler, Fernando Diaz, Trevor Strohman, W. Bruce Croft:
UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion. TREC 2005 - [c4]Donald Metzler, Trevor Strohman, Yun Zhou, W. Bruce Croft:
Indri at TREC 2005: Terabyte Track. TREC 2005 - 2004
- [j1]Donald Metzler, W. Bruce Croft:
Combining the language model and inference network approaches to retrieval. Inf. Process. Manag. 40(5): 735-750 (2004) - [c3]Donald Metzler, R. Manmatha:
An Inference Network Approach to Image Retrieval. CIVR 2004: 42-50 - [c2]Donald Metzler, Victor Lavrenko, W. Bruce Croft:
Formal multiple-bernoulli models for language modeling. SIGIR 2004: 540-541 - [c1]Donald Metzler, Trevor Strohman, Howard R. Turtle, W. Bruce Croft:
Indri at TREC 2004: Terabyte Track. TREC 2004
Coauthor Index
Michael Bendersky
aka: Mike Bendersky
aka: Mike Bendersky
[j9] [c99] [c98] [c97] [c95] [c94] [j7] [c92] [c90] [c89] [c88] [c87] [c86] [c85] [c83] [c82] [c81] [i38] [i37] [i36] [i34] [i32] [i31] [i30] [i29] [i27] [i25] [i24] [j5] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [c70] [c69] [c65] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
[+][–] Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
[+][–] Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 21:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
