On Improving Summarization Factual Consistency from Natural Language Feedback
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron L Halfaker, Dragomir Radev, Ahmed Awadallah
ACL 2023 | July 2023
Budhaditya Deb
Principal Scientist
Papiers de Collaboration
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What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
ACL 2023 | July 2023
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Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao
Proceedings of ACL 2023 | May 2023
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Boosting Natural Language Generation from Instructions with Meta-Learning
Budhaditya Deb, Guoqing Zheng, Ahmed Awadallah
EMNLP | December 2022
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Leveraging Locality in Abstractive Text Summarization
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
EMNLP 2022 | December 2022
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DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Ziming Mao, Chen Henry Wu, Ansong Ni, Yushen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
ACL 2022 | May 2022
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Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Awadallah, Dragomir Radev, Rui Zhang
ACL 2022 | May 2022
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A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion
Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
EMNLP 2021 (Findings) | November 2021
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An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Awadallah, Dragomir Radev
Empirical Methods in Natural Language Processing (EMNLP) 2021 | November 2021
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A Dataset and Baselines for Multilingual Reply Suggestion
Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
ACL-IJCNLP 2021 | July 2021
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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 (姜大昕)
NAACL 2021 Industrial Track | June 2021
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Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
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Discovering latent semantic structure in human mobility traces
Budhaditya Deb, Prithwish Basu
European Conference on Wireless Sensor Networks | February 2015
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Leveraging periodicity in human mobility for next place prediction
Bhaskar Prabhala, Jingjing Wang, Budhaditya Deb, Thomas La Porta, Jiawei Han
IEEE Wireless Communications and Networking Conference (WCNC) | April 2014
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Towards systems level prognostics in the Cloud
Budhaditya Deb, Mohak Shah, Scott Evans, Manoj Mehta, Anthony Gargulak, Tom Lasky
IEEE Conference on Prognostics and Health Management (PHM) | June 2013
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Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
IEEE Transactions on Nuclear Science | April 2013, Vol 60(2): pp. 1315-1326
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Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization
Budhaditya Deb, Michael J. Hartman
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) | June 2012
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Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors
Budhaditya Deb, J. A. F. Ross, A. Ivan, M. J. Hartman
IEEE Transactions on Nuclear Science | October 2011, Vol 58(6): pp. 3281-3290
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On Improving Summarization Factual Consistency from Natural Language Feedback
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron L Halfaker, Dragomir Radev, Ahmed Awadallah
ACL 2023 | July 2023
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Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao
Proceedings of ACL 2023 | May 2023
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Boosting Natural Language Generation from Instructions with Meta-Learning
Budhaditya Deb, Guoqing Zheng, Ahmed Awadallah
EMNLP | December 2022
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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 (姜大昕)
NAACL 2021 Industrial Track | June 2021
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Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
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Discovering latent semantic structure in human mobility traces
Budhaditya Deb, Prithwish Basu
European Conference on Wireless Sensor Networks | February 2015
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Leveraging periodicity in human mobility for next place prediction
Bhaskar Prabhala, Jingjing Wang, Budhaditya Deb, Thomas La Porta, Jiawei Han
IEEE Wireless Communications and Networking Conference (WCNC) | April 2014
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Towards systems level prognostics in the Cloud
Budhaditya Deb, Mohak Shah, Scott Evans, Manoj Mehta, Anthony Gargulak, Tom Lasky
IEEE Conference on Prognostics and Health Management (PHM) | June 2013
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Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors
Budhaditya Deb, J. A. F. Ross, A. Ivan, M. J. Hartman
IEEE Transactions on Nuclear Science | October 2011, Vol 58(6): pp. 3281-3290
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On Improving Summarization Factual Consistency from Natural Language Feedback
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron L Halfaker, Dragomir Radev, Ahmed Awadallah
ACL 2023 | July 2023
-
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
ACL 2023 | July 2023
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Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao
Proceedings of ACL 2023 | May 2023
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Leveraging Locality in Abstractive Text Summarization
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
EMNLP 2022 | December 2022
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Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Awadallah, Dragomir Radev, Rui Zhang
ACL 2022 | May 2022
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DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Ziming Mao, Chen Henry Wu, Ansong Ni, Yushen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
ACL 2022 | May 2022
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An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Awadallah, Dragomir Radev
Empirical Methods in Natural Language Processing (EMNLP) 2021 | November 2021
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A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion
Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
EMNLP 2021 (Findings) | November 2021
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A Dataset and Baselines for Multilingual Reply Suggestion
Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
ACL-IJCNLP 2021 | July 2021
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Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
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What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
ACL 2023 | July 2023
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Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao
Proceedings of ACL 2023 | May 2023
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Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao
Proceedings of ACL 2023 | May 2023
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-
Leveraging periodicity in human mobility for next place prediction
Bhaskar Prabhala, Jingjing Wang, Budhaditya Deb, Thomas La Porta, Jiawei Han
IEEE Wireless Communications and Networking Conference (WCNC) | April 2014
-
Towards systems level prognostics in the Cloud
Budhaditya Deb, Mohak Shah, Scott Evans, Manoj Mehta, Anthony Gargulak, Tom Lasky
IEEE Conference on Prognostics and Health Management (PHM) | June 2013
-
Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
IEEE Transactions on Nuclear Science | April 2013, Vol 60(2): pp. 1315-1326
-
Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization
Budhaditya Deb, Michael J. Hartman
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) | June 2012
-
Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors
Budhaditya Deb, J. A. F. Ross, A. Ivan, M. J. Hartman
IEEE Transactions on Nuclear Science | October 2011, Vol 58(6): pp. 3281-3290
-
-
-
Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
IEEE Transactions on Nuclear Science | April 2013, Vol 60(2): pp. 1315-1326
-
Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors
Budhaditya Deb, J. A. F. Ross, A. Ivan, M. J. Hartman
IEEE Transactions on Nuclear Science | October 2011, Vol 58(6): pp. 3281-3290
-
-
-
On Improving Summarization Factual Consistency from Natural Language Feedback
Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron L Halfaker, Dragomir Radev, Ahmed Awadallah
ACL 2023 | July 2023
-
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
ACL 2023 | July 2023
-
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron L Halfaker, Liqun Shao, Daniel McDuff, Ahmed Awadallah, Dragomir Radev, Jianfeng Gao
Proceedings of ACL 2023 | May 2023
-
Boosting Natural Language Generation from Instructions with Meta-Learning
Budhaditya Deb, Guoqing Zheng, Ahmed Awadallah
EMNLP | December 2022
-
Leveraging Locality in Abstractive Text Summarization
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
EMNLP 2022 | December 2022
-
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Awadallah, Dragomir Radev, Rui Zhang
ACL 2022 | May 2022
-
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Ziming Mao, Chen Henry Wu, Ansong Ni, Yushen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
ACL 2022 | May 2022
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An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Awadallah, Dragomir Radev
Empirical Methods in Natural Language Processing (EMNLP) 2021 | November 2021
-
A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion
Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
EMNLP 2021 (Findings) | November 2021
-
A Dataset and Baselines for Multilingual Reply Suggestion
Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
ACL-IJCNLP 2021 | July 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 (姜大昕)
NAACL 2021 Industrial Track | June 2021
-
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
-
Discovering latent semantic structure in human mobility traces
Budhaditya Deb, Prithwish Basu
European Conference on Wireless Sensor Networks | February 2015
-
Leveraging periodicity in human mobility for next place prediction
Bhaskar Prabhala, Jingjing Wang, Budhaditya Deb, Thomas La Porta, Jiawei Han
IEEE Wireless Communications and Networking Conference (WCNC) | April 2014
-
Towards systems level prognostics in the Cloud
Budhaditya Deb, Mohak Shah, Scott Evans, Manoj Mehta, Anthony Gargulak, Tom Lasky
IEEE Conference on Prognostics and Health Management (PHM) | June 2013
-
Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization
Budhaditya Deb, Michael J. Hartman
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) | June 2012
-
-
-
Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
IEEE Transactions on Nuclear Science | April 2013, Vol 60(2): pp. 1315-1326
-
Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors
Budhaditya Deb, J. A. F. Ross, A. Ivan, M. J. Hartman
IEEE Transactions on Nuclear Science | October 2011, Vol 58(6): pp. 3281-3290
-