Jinfeng Rao

According to our database, Jinfeng Rao authored at least 37 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Transcending Scaling Laws with 0.1% Extra Compute.

Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DSI++: Updating Transformer Memory with New Documents.

Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

DSI++: Updating Transformer Memory with New Documents.

Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler

CoRR, 2022

Scale Efficiently: Insights from Pretraining and Finetuning Transformers.

Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler

Proceedings of the Tenth International Conference on Learning Representations, 2022

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning.

Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Compositional Generalization with Self-Training for Data-to-Text Generation.

Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Improving Compositional Generalization with Self-Training for Data-to-Text Generation.

Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Hongtao Zhong, Emma Strubell

CoRR, 2021

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers.

Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler

CoRR, 2021

Long Range Arena : A Benchmark for Efficient Transformers.

Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms.

Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Simple Attention-Based Representation Learning for Ranking Short Social Media Posts.

Peng Shi, Jinfeng Rao, Jimmy Lin

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog.

Jinfeng Rao, Kartikeya Upasani, Anusha Balakrishnan, Michael White, Anuj Kumar, Rajen Subba

Proceedings of the 12th International Conference on Natural Language Generation, 2019

The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization.

Kartikeya Upasani, David King, Jinfeng Rao, Anusha Balakrishnan, Michael White

Proceedings of the 2nd Workshop on Multilingual Surface Realisation, 2019

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling.

Jinfeng Rao, Linqing Liu, Yi Tay, Hsiu-Wei Yang, Peng Shi, Jimmy Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling.

Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.

Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.

Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue.

Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search.

Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Türe, Jimmy Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Temporal Context Modeling for Text Streams.

Jinfeng Rao

PhD thesis, 2018

What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems.

Jinfeng Rao, Ferhan Türe, Jimmy Lin

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform.

Jinfeng Rao, Ferhan Türe, Jimmy Lin

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering.

Royal Sequiera, Gaurav Baruah, Zhucheng Tu, Salman Mohammed, Jinfeng Rao, Haotian Zhang, Jimmy Lin

CoRR, 2017

Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams.

Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Türe, Royal Sequiera, Salman Mohammed, Jimmy Lin

CoRR, 2017

Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering.

Haotian Zhang, Jinfeng Rao, Jimmy Lin, Mark D. Smucker

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Experiments with Convolutional Neural Network Models for Answer Selection.

Jinfeng Rao, Hua He, Jimmy Lin

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Mining the Temporal Statistics of Query Terms for Searching Social Media Posts.

Jinfeng Rao, Ferhan Türe, Xing Niu, Jimmy Lin

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks.

Jinfeng Rao, Ferhan Türe, Hua He, Oliver Jojic, Jimmy Lin

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement.

Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao, Jimmy Lin

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Temporal Query Expansion Using a Continuous Hidden Markov Model.

Jinfeng Rao, Jimmy Lin

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Compressing and Decoding Term Statistics Time Series.

Jinfeng Rao, Xing Niu, Jimmy Lin

Proceedings of the Advances in Information Retrieval, 2016

Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks.

Jinfeng Rao, Hua He, Jimmy Lin

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search.

Jinfeng Rao, Jimmy Lin, Miles Efron

Proceedings of the Advances in Information Retrieval, 2015

2014

Infrastructure for supporting exploration and discovery in web archives.

Jimmy Lin, Milad Gholami, Jinfeng Rao

Proceedings of the 23rd International World Wide Web Conference, 2014

Partitioning strategies for spatio-textual similarity join.

Jinfeng Rao, Jimmy Lin, Hanan Samet

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2014

2013

Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships.

Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi

Proceedings of the 13th SIAM International Conference on Data Mining, 2013