| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2022 | ACL | Improving Compositional Generalization with Self-Training for Data-to-Text Generation. | Sanket Vaibhav Mehta, Jinfeng Rao, Yi Tay, Mihir Kale, Ankur Parikh, Emma Strubell |
| 2022 | ICLR | 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 |
| 2022 | ICLR | 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 |
| 2021 | ICLR | 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 |
| 2019 | AAAI | Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. | Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Tre, Jimmy Lin |
| 2019 | ACL | Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue. | Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba |
| 2019 | ACL | 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 |
| 2019 | ACL | 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 |
| 2019 | EMNLP | Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. | Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin |
| 2019 | EMNLP | 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 |
| 2019 | EMNLP | The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization. | Kartikeya Upasani, David King, Jinfeng Rao, Anusha Balakrishnan, Michael White |
| 2019 | INLG | A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog. | Jinfeng Rao, Kartikeya Upasani, Anusha Balakrishnan, Michael White, Anuj Kumar, Rajen Subba |
| 2019 | NAACL | Simple Attention-Based Representation Learning for Ranking Short Social Media Posts. | Peng Shi, Jinfeng Rao, Jimmy Lin |
| 2019 | SIGIR | Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. | Ferhan Tre, Jinfeng Rao, Raphael Tang, Jimmy Lin |
| 2018 | KDD | Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform. | Jinfeng Rao, Ferhan Tre, Jimmy Lin |
| 2018 | SIGIR | What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems. | Jinfeng Rao, Ferhan Tre, Jimmy Lin |
| 2017 | CIKM | Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks. | Jinfeng Rao, Ferhan Tre, Hua He, Oliver Jojic, Jimmy Lin |
| 2017 | ICTIR | Mining the Temporal Statistics of Query Terms for Searching Social Media Posts. | Jinfeng Rao, Ferhan Tre, Xing Niu, Jimmy Lin |
| 2017 | SIGIR | Experiments with Convolutional Neural Network Models for Answer Selection. | Jinfeng Rao, Hua He, Jimmy Lin |
| 2017 | SIGIR | Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering. | Haotian Zhang, Jinfeng Rao, Jimmy Lin, Mark D. Smucker |
| 2016 | CIKM | Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks. | Jinfeng Rao, Hua He, Jimmy Lin |
| 2016 | ECIR | Compressing and Decoding Term Statistics Time Series. | Jinfeng Rao, Xing Niu, Jimmy Lin |
| 2016 | ICTIR | Temporal Query Expansion Using a Continuous Hidden Markov Model. | Jinfeng Rao, Jimmy Lin |
| 2015 | ECIR | Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. | Jinfeng Rao, Jimmy Lin, Miles Efron |
| 2014 | WWW | Infrastructure for supporting exploration and discovery in web archives. | Jimmy Lin, Milad Gholami, Jinfeng Rao |
| 2013 | SDM | 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 |