Onkar Dalal

According to our database, Onkar Dalal authored at least 9 papers between 2012 and 2026.

Collaborative distances:

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

2026

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators.

Zhengyang Su, Isay Katsman, Yueqi Wang, Ruining He, Lukasz Heldt, Raghunandan H. Keshavan, Shao-Chuan Wang, Xinyang Yi, Mingyan Gao, Onkar Dalal, Lichan Hong, Ed H. Chi, Ningren Han

CoRR, February, 2026

2025

Item-centric Exploration for Cold Start Problem.

Dong Wang, Junyi Jiao, Arnab Bhadury, Yaping Zhang, Mingyan Gao, Onkar Dalal

CoRR, July, 2025

Item-centric Exploration for Cold Start Problem.

Dong Wang, Junyi Jiao, Arnab Bhadury, Yaping Zhang, Mingyan Gao, Onkar Dalal

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates.

Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations.

Boyuan Long, Yueqi Wang, Hiloni Mehta, Mick Zomnir, Omkar Pathak, Changping Meng, Ruolin Jia, Yajun Peng, Dapeng Hong, Xia Wu, Mingyan Gao, Onkar Dalal, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems.

Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma, Yueqi Wang, He Ma, Zhengyang Su, Minmin Chen, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Ningren Han, Haokai Lu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2021

Lambda Learner: Fast Incremental Learning on Data Streams.

Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2014

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection.

Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

Multi-objective ranking of comments on web.

Onkar Dalal, Srinivasan H. Sengamedu, Subhajit Sanyal

Proceedings of the 21st World Wide Web Conference 2012, 2012