Siamak Shakeri

According to our database, Siamak Shakeri authored at least 27 papers between 2010 and 2024.

Collaborative distances:

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

2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.

CoRR, 2024

2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

Generative Models for 3D Point Clouds.

Lingjie Kong, Pankaj Rajak, Siamak Shakeri

CoRR, 2023

Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models.

Renat Aksitov, Chung-Ching Chang, David Reitter, Siamak Shakeri, Yun-Hsuan Sung

CoRR, 2023

Brainformers: Trading Simplicity for Efficiency.

Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean

Proceedings of the International Conference on Machine Learning, 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

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks.

Kanishka Misra, Cícero Nogueira dos Santos, Siamak Shakeri

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

2022

Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts.

Cícero Nogueira dos Santos, Zhe Dong, Daniel Cer, John Nham, Siamak Shakeri, Jianmo Ni, Yun-Hsuan Sung

CoRR, 2022

Reducing Retraining by Recycling Parameter-Efficient Prompts.

Brian Lester, Joshua Yurtsever, Siamak Shakeri, Noah Constant

CoRR, 2022

Counterfactual Data Augmentation improves Factuality of Abstractive Summarization.

Dheeraj Rajagopal, Siamak Shakeri, Cícero Nogueira dos Santos, Eduard H. Hovy, Chung-Ching Chang

CoRR, 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh

Trans. Assoc. Comput. Linguistics, 2021

EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks.

Frederick Liu, Siamak Shakeri, Hongkun Yu, Jing Li

CoRR, 2021

Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training.

Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension.

Siamak Shakeri, Noah Constant, Mihir Kale, Linting Xue

Proceedings of the 14th International Conference on Natural Language Generation, 2021

2020

Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training.

Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou

CoRR, 2020

Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension.

Siamak Shakeri, Noah Constant, Mihir Sanjay Kale, Linting Xue

CoRR, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.

Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

CoRR, 2020

Embedding-based Zero-shot Retrieval through Query Generation.

Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang

CoRR, 2020

TableQnA: Answering List Intent Queries With Web Tables.

Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao, Surajit Chaudhuri

CoRR, 2020

Open Domain Question Answering Using Web Tables.

Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, Guihong Cao

CoRR, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.

Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Label Dependent Deep Variational Paraphrase Generation.

Siamak Shakeri, Abhinav Sethy

CoRR, 2019

Knowledge Distillation in Document Retrieval.

Siamak Shakeri, Abhinav Sethy, Cheng Cheng

CoRR, 2019

2018

Differentiable Greedy Networks.

Thomas Powers, Rasool Fakoor, Siamak Shakeri, Abhinav Sethy, Amanjit Kainth, Abdel-rahman Mohamed, Ruhi Sarikaya

CoRR, 2018

Direct Optimization of F-Measure for Retrieval-Based Personal Question Answering.

Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2010

Secondary Wireless Mesh Network Design Using Leased Frequency Spectra.

Siamak Shakeri, Amir A. Sayegh, Terence D. Todd

Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010