Payal Bajaj

27 papers A* 6C 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2023 A* conf
Magneto: A Foundation Transformer.
ICML
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
2023 — conf
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers.
ACL (1)
Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song
2023 J jnl
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers.
CoRR
Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song
2023 — conf
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale.
EACL (Findings)
Aniket Vashishtha, S. Sai Prasad, Payal Bajaj, Vishrav Chaudhary, Kate Cook, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury
2023 J jnl
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation.
CoRR
Jessica Huynh, Cathy Jiao, Prakhar Gupta, Shikib Mehri, Payal Bajaj, Vishrav Chaudhary, Maxine Eskénazi
2022 J jnl
Foundation Transformers.
CoRR
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
2022 J jnl
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals.
CoRR
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
2022 A* conf
On the Representation Collapse of Sparse Mixture of Experts.
NeurIPS
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
2022 J jnl
On the Representation Collapse of Sparse Mixture of Experts.
CoRR
Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei
2022 A* conf
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.
ICLR
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song
2022 J jnl
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.
CoRR
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2022 — conf
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.
ACL (1)
Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei
2021 A* conf
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.
NeurIPS
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2021 J jnl
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.
CoRR
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
2021 — conf
Language Scaling for Universal Suggested Replies Model.
NAACL-HLT (Industry Papers)
Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang
2021 J jnl
Language Scaling for Universal Suggested Replies Model.
CoRR
Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang
2021 J jnl
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.
CoRR
Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei
2018 A* conf
Embedding Logical Queries on Knowledge Graphs.
NeurIPS
William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec
2018 J jnl
Querying Complex Networks in Vector Space.
CoRR
William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec
2017 — conf
Inferring Generative Model Structure with Static Analysis.
NIPS
Paroma Varma, Bryan D. He, Payal Bajaj, Nishith Khandwala, Imon Banerjee, Daniel L. Rubin, Christopher Ré
2017 J jnl
Inferring Generative Model Structure with Static Analysis.
CoRR
Paroma Varma, Bryan D. He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré
2017 — conf
Smart Geo-fencing with Location Sensitive Product Affinity.
SIGSPATIAL/GIS
Ankur Garg, Sunav Choudhary, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, Shubham Agrawal
2016 — conf
Disinformation in Multimedia Annotation: Misleading Metadata Detection on YouTube.
iV&L-MM@MM
Payal Bajaj, Mridul Kavidayal, Priyanshu Srivastava, Md Nadeem Akhtar, Ponnurangam Kumaraguru
2016 A* conf
Experience Individualization on Online TV Platforms through Persona-based Account Decomposition.
ACM Multimedia
Payal Bajaj, Sumit Shekhar
2016 J jnl
KidsTube: Detection, Characterization and Analysis of Child Unsafe Content & Promoters on YouTube.
CoRR
Rishabh Kaushal, Srishty Saha, Payal Bajaj, Ponnurangam Kumaraguru
2016 C conf
KidsTube: Detection, characterization and analysis of child unsafe content & promoters on YouTube.
PST
Rishabh Kaushal, Srishty Saha, Payal Bajaj, Ponnurangam Kumaraguru
2015 — conf
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data.
ICDM Workshops
Iftikhar Ahamath Burhanuddin, Payal Bajaj, Sumit Shekhar, Dipayan Mukherjee, Ashish Raj, Aravind Sankar