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Jinfeng Rao
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2020 – today
- 2023
- [c31]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 - [c30]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 - [c29]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 - 2022
- [c28]Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell:
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. ACL (1) 2022: 4205-4219 - [c27]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 - [c26]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 - [i15]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) - [i14]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) - [i13]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) - 2021
- [c25]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 - [i12]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) - [i11]Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell:
Improving Compositional Generalization with Self-Training for Data-to-Text Generation. CoRR abs/2110.08467 (2021) - [i10]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
- [i9]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)
2010 – 2019
- 2019
- [c24]Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. AAAI 2019: 232-240 - [c23]Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba:
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. ACL (1) 2019: 831-844 - [c22]Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang
, Shuohang Wang, Jie Fu, Siu Cheung Hui:
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) 2019: 1494-1503 - [c21]Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang:
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. ACL (1) 2019: 4922-4931 - [c20]Kartikeya Upasani, David King, Jinfeng Rao, Anusha Balakrishnan, Michael White:
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization. MSR@EMNLP-IJCNLP 2019: 68-74 - [c19]Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. EMNLP/IJCNLP (1) 2019: 1204-1209 - [c18]Jinfeng Rao, Linqing Liu, Yi Tay, Hsiu-Wei Yang, Peng Shi, Jimmy Lin:
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling. EMNLP/IJCNLP (1) 2019: 5369-5380 - [c17]Jinfeng Rao, Kartikeya Upasani, Anusha Balakrishnan, Michael White, Anuj Kumar, Rajen Subba:
A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog. INLG 2019: 95-100 - [c16]Peng Shi, Jinfeng Rao, Jimmy Lin:
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. NAACL-HLT (1) 2019: 2212-2217 - [c15]Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. SIGIR 2019: 1375-1376 - [i8]Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang:
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. CoRR abs/1905.10847 (2019) - [i7]Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui:
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR abs/1906.04393 (2019) - [i6]Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba:
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. CoRR abs/1906.07220 (2019) - 2018
- [b1]Jinfeng Rao:
Temporal Context Modeling for Text Streams. University of Maryland, College Park, MD, USA, 2018 - [c14]Jinfeng Rao, Ferhan Türe, Jimmy Lin:
Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform. KDD 2018: 636-645 - [c13]Jinfeng Rao, Ferhan Türe, Jimmy Lin:
What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems. SIGIR 2018: 1213-1216 - [i5]Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin:
Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. CoRR abs/1805.08159 (2018) - [i4]Peng Shi, Jinfeng Rao, Jimmy Lin:
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. CoRR abs/1811.01013 (2018) - 2017
- [c12]Jinfeng Rao, Ferhan Türe, Hua He, Oliver Jojic, Jimmy Lin:
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. CIKM 2017: 557-566 - [c11]Jinfeng Rao, Ferhan Türe, Xing Niu, Jimmy Lin:
Mining the Temporal Statistics of Query Terms for Searching Social Media Posts. ICTIR 2017: 133-140 - [c10]Haotian Zhang, Jinfeng Rao, Jimmy Lin, Mark D. Smucker
:
Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering. SIGIR 2017: 797-800 - [c9]Jinfeng Rao, Hua He, Jimmy Lin:
Experiments with Convolutional Neural Network Models for Answer Selection. SIGIR 2017: 1217-1220 - [i3]Jinfeng Rao, Ferhan Türe, Hua He, Oliver Jojic, Jimmy Lin:
Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. CoRR abs/1705.04892 (2017) - [i2]Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Türe, Royal Sequiera, Salman Mohammed, Jimmy Lin:
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams. CoRR abs/1707.07792 (2017) - [i1]Royal Sequiera, Gaurav Baruah, Zhucheng Tu, Salman Mohammed, Jinfeng Rao, Haotian Zhang, Jimmy Lin:
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering. CoRR abs/1707.07804 (2017) - 2016
- [c8]Jinfeng Rao, Hua He, Jimmy Lin:
Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks. CIKM 2016: 1913-1916 - [c7]Jinfeng Rao, Xing Niu, Jimmy Lin:
Compressing and Decoding Term Statistics Time Series. ECIR 2016: 675-681 - [c6]Jinfeng Rao, Jimmy Lin:
Temporal Query Expansion Using a Continuous Hidden Markov Model. ICTIR 2016: 295-298 - [c5]Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao, Jimmy Lin:
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement. SemEval@NAACL-HLT 2016: 1103-1108 - 2015
- [c4]Jinfeng Rao, Jimmy Lin, Miles Efron:
Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. ECIR 2015: 755-767 - 2014
- [c3]Jinfeng Rao, Jimmy Lin, Hanan Samet:
Partitioning strategies for spatio-textual similarity join. BigSpatial@SIGSPATIAL 2014: 40-49 - [c2]Jimmy Lin, Milad Gholami, Jinfeng Rao:
Infrastructure for supporting exploration and discovery in web archives. WWW (Companion Volume) 2014: 851-856 - 2013
- [c1]Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi:
Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. SDM 2013: 494-502
Coauthor Index
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