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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 - [i49]Tim Baumgärtner, Yang Gao, Dana Alon, Donald Metzler:
Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data. CoRR abs/2404.05530 (2024) - [i48]Yang Gao, Dana Alon, Donald Metzler:
Impact of Preference Noise on the Alignment Performance of Generative Language Models. CoRR abs/2404.09824 (2024) - [i47]Dara Bahri, John Wieting, Dana Alon, Donald Metzler:
A Watermark for Black-Box Language Models. CoRR abs/2410.02099 (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]