Budhaditya Deb

Principal Scientist

출판물

자료 보기:

- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication 프로젝트 프로젝트
- Boosting Natural Language Generation from Instructions with Meta-Learning
  
  Budhaditya Deb, Guoqing Zheng, Ahmed Awadallah
  
  EMNLP | December 2022
  
  Publication
- Leveraging Locality in Abstractive Text Summarization
  
  Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
  
  EMNLP 2022 | December 2022
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion
  
  Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
  
  EMNLP 2021 (Findings) | November 2021
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Github
- 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
  
  Publication
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- Discovering latent semantic structure in human mobility traces
  
  Budhaditya Deb, Prithwish Basu
  
  European Conference on Wireless Sensor Networks | February 2015
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
  
  Budhaditya Deb
  
  IEEE Transactions on Nuclear Science | April 2013, 제 60 권(2): pp. 1315-1326
  
  Publication
- 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
  
  Publication
- 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, 제 58 권(6): pp. 3281-3290
  
  DOI

- 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
  
  Publication
- 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
  
  Publication Publication 프로젝트 프로젝트
- Boosting Natural Language Generation from Instructions with Meta-Learning
  
  Budhaditya Deb, Guoqing Zheng, Ahmed Awadallah
  
  EMNLP | December 2022
  
  Publication
- 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
  
  Publication
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- Discovering latent semantic structure in human mobility traces
  
  Budhaditya Deb, Prithwish Basu
  
  European Conference on Wireless Sensor Networks | February 2015
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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, 제 58 권(6): pp. 3281-3290
  
  DOI
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication 프로젝트 프로젝트
- Leveraging Locality in Abstractive Text Summarization
  
  Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
  
  EMNLP 2022 | December 2022
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion
  
  Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
  
  EMNLP 2021 (Findings) | November 2021
  
  Publication
- 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
  
  Publication Github
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication 프로젝트 프로젝트
- 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
  
  Publication Publication 프로젝트 프로젝트
- 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
  
  Publication
- 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
  
  Publication
- Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
  
  Budhaditya Deb
  
  IEEE Transactions on Nuclear Science | April 2013, 제 60 권(2): pp. 1315-1326
  
  Publication
- 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
  
  Publication
- 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, 제 58 권(6): pp. 3281-3290
  
  DOI
- Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
  
  Budhaditya Deb
  
  IEEE Transactions on Nuclear Science | April 2013, 제 60 권(2): pp. 1315-1326
  
  Publication
- 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, 제 58 권(6): pp. 3281-3290
  
  DOI

- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication 프로젝트 프로젝트
- Boosting Natural Language Generation from Instructions with Meta-Learning
  
  Budhaditya Deb, Guoqing Zheng, Ahmed Awadallah
  
  EMNLP | December 2022
  
  Publication
- Leveraging Locality in Abstractive Text Summarization
  
  Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Awadallah, Dragomir Radev
  
  EMNLP 2022 | December 2022
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion
  
  Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Awadallah
  
  EMNLP 2021 (Findings) | November 2021
  
  Publication
- 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
  
  Publication Github
- 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
  
  Publication
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- Discovering latent semantic structure in human mobility traces
  
  Budhaditya Deb, Prithwish Basu
  
  European Conference on Wireless Sensor Networks | February 2015
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors
  
  Budhaditya Deb
  
  IEEE Transactions on Nuclear Science | April 2013, 제 60 권(2): pp. 1315-1326
  
  Publication
- 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, 제 58 권(6): pp. 3281-3290
  
  DOI

Budhaditya Deb

출판물

On Improving Summarization Factual Consistency from Natural Language Feedback

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Boosting Natural Language Generation from Instructions with Meta-Learning

Leveraging Locality in Abstractive Text Summarization

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion

An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next

A Dataset and Baselines for Multilingual Reply Suggestion

Language Scaling for Universal Suggested Replies Model

Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder

Discovering latent semantic structure in human mobility traces

Leveraging periodicity in human mobility for next place prediction

Towards systems level prognostics in the Cloud

Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors

Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization

Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors

On Improving Summarization Factual Consistency from Natural Language Feedback

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Boosting Natural Language Generation from Instructions with Meta-Learning

Language Scaling for Universal Suggested Replies Model

Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder

Discovering latent semantic structure in human mobility traces

Leveraging periodicity in human mobility for next place prediction

Towards systems level prognostics in the Cloud

Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors

On Improving Summarization Factual Consistency from Natural Language Feedback

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Leveraging Locality in Abstractive Text Summarization

Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next

A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion

A Dataset and Baselines for Multilingual Reply Suggestion

Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Leveraging periodicity in human mobility for next place prediction

Towards systems level prognostics in the Cloud

Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors

Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization

Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors

Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors

Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors

On Improving Summarization Factual Consistency from Natural Language Feedback

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models

Boosting Natural Language Generation from Instructions with Meta-Learning

Leveraging Locality in Abstractive Text Summarization

Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization

An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next

A Conditional Generative Matching Approach for Multi-lingual Reply Suggestion

A Dataset and Baselines for Multilingual Reply Suggestion

Language Scaling for Universal Suggested Replies Model

Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder

Discovering latent semantic structure in human mobility traces

Leveraging periodicity in human mobility for next place prediction

Towards systems level prognostics in the Cloud

Distributed optimization of Contention Windows in 802.11e MAC to provide QoS differentiation and maximize channel utilization

Iterative Estimation of Location and Trajectory of Radioactive Sources With a Networked System of Detectors

Radioactive Source Estimation Using a System of Directional and Non-Directional Detectors