Payal Bajaj

According to our database, Payal Bajaj authored at least 21 papers between 2015 and 2023.

Collaborative distances:

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

2023

Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation.

Jessica Huynh, Cathy Jiao, Prakhar Gupta, Shikib Mehri, Payal Bajaj, Vishrav Chaudhary, Maxine Eskénazi

CoRR, 2023

Magneto: A Foundation Transformer.

Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei

Proceedings of the International Conference on Machine Learning, 2023

Performance and Risk Trade-offs for Multi-word Text Prediction at Scale.

Aniket Vashishtha, S. Sai Prasad, Payal Bajaj, Vishrav Chaudhary, Kate Cook, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury

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

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers.

Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Foundation Transformers.

Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei

CoRR, 2022

On the Representation Collapse of Sparse Mixture of Experts.

Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei

CoRR, 2022

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals.

Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao

CoRR, 2022

On the Representation Collapse of Sparse Mixture of Experts.

Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.

Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.

Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei

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

2021

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.

Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei

CoRR, 2021

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.

Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Language Scaling for Universal Suggested Replies Model.

Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang

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

2018

Querying Complex Networks in Vector Space.

William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec

CoRR, 2018

Embedding Logical Queries on Knowledge Graphs.

William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Inferring Generative Model Structure with Static Analysis.

Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Smart Geo-fencing with Location Sensitive Product Affinity.

Ankur Garg, Sunav Choudhary, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, Shubham Agrawal

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

KidsTube: Detection, characterization and analysis of child unsafe content & promoters on YouTube.

Rishabh Kaushal, Srishty Saha, Payal Bajaj, Ponnurangam Kumaraguru

Proceedings of the 14th Annual Conference on Privacy, Security and Trust, 2016

Experience Individualization on Online TV Platforms through Persona-based Account Decomposition.

Payal Bajaj, Sumit Shekhar

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Disinformation in Multimedia Annotation: Misleading Metadata Detection on YouTube.

Payal Bajaj, Mridul Kavidayal, Priyanshu Srivastava, Md Nadeem Akhtar, Ponnurangam Kumaraguru

Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion, 2016

2015

Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data.

Iftikhar Ahamath Burhanuddin, Payal Bajaj, Sumit Shekhar, Dipayan Mukherjee, Ashish Raj, Aravind Sankar

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015