Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. - Iftikhar Ahamath Burhanuddin; Payal Bajaj; Sumit Shekhar; Dipayan Mukherjee; Ashish Raj; Aravind Sankar (ICDM Workshops, 2015)

Disinformation in Multimedia Annotation: Misleading Metadata Detection on YouTube. - Payal Bajaj; Mridul Kavidayal; Priyanshu Srivastava; Md Nadeem Akhtar; Ponnurangam Kumaraguru (iV&L-MM@MM, 2016)

Experience Individualization on Online TV Platforms through Persona-based Account Decomposition. - Payal Bajaj; Sumit Shekhar (ACM Multimedia, 2016)

KidsTube: Detection, characterization and analysis of child unsafe content & promoters on YouTube. - Rishabh Kaushal; Srishty Saha; Payal Bajaj; Ponnurangam Kumaraguru (PST, 2016)

Smart Geo-fencing with Location Sensitive Product Affinity. - Ankur Garg; Sunav Choudhary; Payal Bajaj; Sweta Agrawal; Abhishek Kedia; Shubham Agrawal (SIGSPATIAL/GIS, 2017)

Inferring Generative Model Structure with Static Analysis. - Paroma Varma; Bryan D. He; Payal Bajaj; Nishith Khandwala; Imon Banerjee; Daniel L. Rubin; Christopher Ré (NIPS, 2017)

Embedding Logical Queries on Knowledge Graphs. - William L. Hamilton; Payal Bajaj; Marinka Zitnik; Dan Jurafsky; Jure Leskovec (NeurIPS, 2018)

Querying Complex Networks in Vector Space. - William L. Hamilton; Payal Bajaj; Marinka Zitnik; Dan Jurafsky; Jure Leskovec (CoRR, 2018)

Language Scaling for Universal Suggested Replies Model. - Qianlan Ying; Payal Bajaj; Budhaditya Deb; Yu Yang; Wei Wang 238; Bojia Lin; Milad Shokouhi; Xia Song; Yang Yang 012; Daxin Jiang (NAACL-HLT (Industry Papers), 2021)

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul Bennett 001; Jiawei Han 001; Xia Song (NeurIPS, 2021)

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. - Zewen Chi; Shaohan Huang; Li Dong 004; Shuming Ma; Saksham Singhal; Payal Bajaj; Xia Song; Furu Wei (CoRR, 2021)

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA. - Zewen Chi; Shaohan Huang; Li Dong 004; Shuming Ma; Bo Zheng 010; Saksham Singhal; Payal Bajaj; Xia Song; Xian-Ling Mao; Heyan Huang; Furu Wei (ACL (1), 2022)

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul N. Bennett; Jiawei Han 001; Xia Song (ICLR, 2022)

On the Representation Collapse of Sparse Mixture of Experts. - Zewen Chi; Li Dong 004; Shaohan Huang; Damai Dai; Shuming Ma; Barun Patra; Saksham Singhal; Payal Bajaj; Xia Song; Xian-Ling Mao; Heyan Huang; Furu Wei (NeurIPS, 2022)

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. - Payal Bajaj; Chenyan Xiong; Guolin Ke; Xiaodong Liu 003; Di He 001; Saurabh Tiwary; Tie-Yan Liu; Paul Bennett 001; Xia Song; Jianfeng Gao 001 (CoRR, 2022)

On the Representation Collapse of Sparse Mixture of Experts. - Zewen Chi; Li Dong 004; Shaohan Huang; Damai Dai; Shuming Ma; Barun Patra; Saksham Singhal; Payal Bajaj; Xia Song; Furu Wei (CoRR, 2022)

Foundation Transformers. - Hongyu Wang 009; Shuming Ma; Shaohan Huang; Li Dong 004; Wenhui Wang 003; Zhiliang Peng; Yu Wu; Payal Bajaj; Saksham Singhal; Alon Benhaim; Barun Patra; Zhun Liu; et al. (CoRR, 2022)

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. - Linyuan Gong; Chenyan Xiong; Xiaodong Liu 003; Payal Bajaj; Yiqing Xie; Alvin Cheung; Jianfeng Gao 001; Xia Song (ACL (1), 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 (EACL (Findings), 2023)

Magneto: A Foundation Transformer. - Hongyu Wang 009; Shuming Ma; Shaohan Huang; Li Dong 004; Wenhui Wang 003; Zhiliang Peng; Yu Wu; Payal Bajaj; Saksham Singhal; Alon Benhaim; Barun Patra; Zhun Liu; et al. (ICML, 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)