Recursive Ant Colony Optimization for estimation of parameters of a function. - Deepak K. Gupta; Yogesh Arora; Upendra K. Singh 001; Jai P. Gupta 001 (RAIT, 2012)

Personalized Online Spell Correction for Personal Search. - Jai Prakash Gupta 001; Zhen Qin 001; Michael Bendersky; Donald Metzler (WWW, 2019)

Are Pretrained Convolutions Better than Pretrained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Vamsi Aribandi; Dara Bahri; Zhen Qin 001; Donald Metzler (ACL/IJCNLP (1), 2021)

OmniNet: Omnidirectional Representations from Transformers. - Yi Tay; Mostafa Dehghani 001; Vamsi Aribandi; Jai Prakash Gupta 001; Philip Pham; Zhen Qin 001; Dara Bahri; Da-Cheng Juan; Donald Metzler (ICML, 2021)

Are Pre-trained Convolutions Better than Pre-trained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Dara Bahri; Vamsi Aribandi; Zhen Qin 001; Donald Metzler (CoRR, 2021)

Google COVID-19 Vaccination Search Insights: Anonymization Process Description. - Shailesh Bavadekar; Adam Boulanger; John Davis; Damien Desfontaines; Evgeniy Gabrilovich; Krishna Gadepalli; Badih Ghazi; Tague Griffith; Jai Prakash Gupta 001; Chaitanya Kamath; Dennis Kraft; Ravi Kumar 001; et al. (CoRR, 2021)

Vaccine Search Patterns Provide Insights into Vaccination Intent. - Sean Malahy; Mimi Sun; Keith Spangler; Jessica Leibler; Kevin Lane; Shailesh Bavadekar; Chaitanya Kamath; Akim Kumok; Yuantong Sun; Jai Gupta 001; Tague Griffith; Adam Boulanger; et al. (CoRR, 2021)

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. - Kai Hui 001; Honglei Zhuang; Tao Chen 008; Zhen Qin 001; Jing Lu; Dara Bahri; Ji Ma 004; Jai Prakash Gupta 001; Cícero Nogueira dos Santos; Yi Tay; Donald Metzler (ACL (Findings), 2022)

Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. - Jai Gupta 001; Yi Tay; Chaitanya Kamath; Vinh Tran 002; Donald Metzler; Shailesh Bavadekar; Mimi Sun; Evgeniy Gabrilovich (EMNLP (Industry Track), 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 002; Dara Bahri; Jianmo Ni; Jai Prakash Gupta 001; Kai Hui 001; et al. (ICLR, 2022)

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. - Yi Tay; Vinh Q. Tran 002; Sebastian Ruder; Jai Prakash Gupta 001; Hyung Won Chung; Dara Bahri; Zhen Qin 001; Simon Baumgartner; Cong Yu 001; Donald Metzler (ICLR, 2022)

HyperPrompt: Prompt-based Task-Conditioning of Transformers. - Yun He; Huaixiu Steven Zheng; Yi Tay; Jai Prakash Gupta 001; Yu Du; Vamsi Aribandi; Zhe Zhao 001; YaGuang Li; Zhao Chen; Donald Metzler; Heng-Tze Cheng; Ed H. Chi (ICML, 2022)

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. - Alyssa Lees; Vinh Q. Tran 002; Yi Tay; Jeffrey Sorensen; Jai Prakash Gupta 001; Donald Metzler; Lucy Vasserman (KDD, 2022)

Confident Adaptive Language Modeling. - Tal Schuster; Adam Fisch; Jai Gupta 001; Mostafa Dehghani 001; Dara Bahri; Vinh Tran 002; Yi Tay; Donald Metzler (NeurIPS, 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 2022)

DSI++: Updating Transformer Memory with New Documents. - Sanket Vaibhav Mehta; Jai Gupta 001; Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Jinfeng Rao; Marc Najork; Emma Strubell; Donald Metzler (EMNLP, 2023)

How Does Generative Retrieval Scale to Millions of Passages? - Ronak Pradeep; Kai Hui 001; Jai Gupta 001; Ádám D. Lelkes; Honglei Zhuang; Jimmy Lin; Donald Metzler; Vinh Q. Tran 002 (EMNLP, 2023)

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. - Rishabh Tiwari; Arnav Chavan; Deepak K. Gupta; Gowreesh Mago; Animesh Gupta; Akash Gupta; Suraj Sharan; Yukun Yang; Shanwei Zhao; Shihao Wang; Youngjun Kwak; Seonghun Jeong; et al. (ICCV (Workshops), 2023)

SEMQA: Semi-Extractive Multi-Source Question Answering. - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta 001; Jonathan Berant; William W. Cohen; Donald Metzler (NAACL-HLT, 2024)