Language-to-Code Translation with a Single Labeled Example
Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
EMNLP | November 2024
Publications
Publications par année
-
Ontologically Faithful Generation of Non-Player Character Dialogues
Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Ben Van Durme, Harsh Jhamtani
EMNLP | November 2024
Learning to Retrieve Iteratively for In-Context Learning
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
EMNLP | November 2024
Steering Large Language Models between Code Execution and Textual Reasoning
Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
October 2024
Natural Language Decomposition and Interpretation of Complex Utterances
Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
IJCAI 2024 | August 2024
Interpreting User Requests in the Context of Natural Language Standing Instructions
Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Ben Van Durme, Harsh Jhamtani
NAACL | June 2024
Node Similarities under Random Projections: Limits and Pathological Cases
Tvrtko Tadić, Cassiano Becker, Jennifer Neville
arXiv: Social and Information Networks | April 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang, Hao Fang, Jason Eisner, Ben Van Durme, Yu Su
arXiv: Computation and Language | March 2024
-
Do Androids Know They’re Only Dreaming of Electric Sheep?
Sky CH-Wang, Ben Van Durme, Jason Eisner, Chris Kedzie
arXiv: Computation and Language | December 2023
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
ICML 2024 | December 2023
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Ben Van Durme
NeurIPS 2023 Track on Datasets and Benchmarks. | December 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
SCREWS: A Modular Framework for Reasoning with Revisions
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
arXiv: Computation and Language | September 2023
Toward Interactive Dictation
Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
ACL 2023 | July 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers
Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
ACL 2023 | July 2023
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
Findings of ACL 2023 | July 2023
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Mengnan Du, Subhabrata (Subho) Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Awadallah
EACL | April 2023
-
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Ben Van Durme, Jason Eisner, Yu Su
EMNLP 2022 | December 2022
Few-Shot Semantic Parsing with Language Models Trained on Code
Richard Shin, Ben Van Durme
NAACL 2022 | July 2022
Active Programming by Example with a Natural Language Prior
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
EMNLP 2022 | May 2022
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Ben Van Durme
ACL 2022 | May 2022
Guided K-best Selection for Semantic Parsing Annotation
Anton Belyy, Chieh-yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Alex Nisnevich, Charles Chen, Ben Van Durme
ACL 2022 | May 2022
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson
May 2022
Outstanding Paper Award
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Shashank Gupta, Subhabrata (Subho) Mukherjee, Krishan Subudhi, Eduardo Gonzalez, Damien Jose, Ahmed Awadallah, Jianfeng Gao
ArXiv | April 2022
-
Differentially private n-gram extraction
Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
NeurIPS 2021 | December 2021
Meta Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata (Subho) Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Awadallah
SIGKDD 2021 (Research Track) | August 2021
Automatic Rephrasing of Transcripts-based Action Items
Amir Cohen, Amir Kantor (amkantor), Sagi Hilleli, Eyal Kolman
Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021 | August 2021
Go-Figure: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
ACL-IJCNLP 2021 | August 2021
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, Chris Quirk
NAACL 2021 | June 2021
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
Subhabrata (Subho) Mukherjee, Ahmed Awadallah, Jianfeng Gao
ArXiv | June 2021
arXiv:2106.04563
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Mengzhou Xia, Guoqing Zheng, Subhabrata (Subho) Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Awadallah
NAACL 2021 | May 2021
Self-training with Weak Supervision
Giannis Karamanolakis, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah
NAACL 2021 | May 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
NAACL | April 2021
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
EACL | April 2021
-
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
NeurIPS 2020 (Spotlight) | December 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset
Revanth Rameshkumar, Peter Bailey
ACL 2020 – The 58th Annual Meeting of the Association for Computational Linguistics | July 2020
The CRD3 dataset is available for download at https://github.com/RevanthRameshkumar/CRD3
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
International Conference on Machine Learning 2020 | July 2020
Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
Learning with Weak Supervision for Email Intent Detection
Kai Shu, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah, Milad Shokouhi, Susan Dumais
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Smart To-Do : Automatic Generation of To-Do List from Emails
Sudipto Mukherjee, Subhabrata (Subho) Mukherjee, Marcello Hasegawa, Ahmed Awadallah, Ryen W. White
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald
EMNLP Workshop on Evaluation and Comparison for NLP systems | May 2020
-
Novel positional encodings to enable tree-based transformers
Vighnesh Leonardo Shiv, Chris Quirk
NeurIPS 2019 | December 2019
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios
Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, Imed Zitouni
23rd Conference on Computational Natural Language Learning (CoNLL) | November 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
Proc. of NAACL | June 2019
Evaluating User Actions as a Proxy for Email Significance
Tarfah Alrashed, Chia-Jung Lee, Peter Bailey, Christopher Lin, Milad Shokouhi, Susan Dumais
The World Wide Web Conference | May 2019
Exploring User Behavior in Email Re-Finding Tasks
Joel Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Awadallah, Milad Shokouhi
The 28th International Web Conference (WWW 2019) | May 2019
Email Triage: Challenges and Opportunities
Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Characterizing and Predicting Email Deferral Behaviour
Bahar Sarrafzadeh, Ahmed Awadallah, Christopher Lin, CJ Lee, Milad Shokouhi, Susan Dumais
The Twelfth International Conference on Web Search and Data Mining (WSDM) | February 2019
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
-
Better effectiveness metrics for SERPs, cards, and rankings
Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell
Australasian Document Computing Symposium | December 2018
Best paper award
Calendar-Aware Proactive Email Recommendation
Qian Zhao, Paul Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan Dumais
Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) | July 2018
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
NAACL | June 2018
Identifying Task Boundaries in Digital Assistants
Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
The 27th International Web Conference (WWW 2018) | April 2018
-
Deep Sequential Models for Task Satisfaction Prediction
Rishabh Mehrotra, Ahmed Awadallah, Emine Yilmaz, Milad Shokouhi, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
The 26th ACM Conference on Information and Knowledge Management (CIKM 2017) | November 2017
Identifying User Sessions in Interactions with Intelligent Assistants
Rishabh Mehrota, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Awadallah
The 26th International World Wide Web Conference (WWW 2017) | April 2017
Filtre par zone de recherche
-
Language-to-Code Translation with a Single Labeled Example
Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
EMNLP | November 2024
Learning to Retrieve Iteratively for In-Context Learning
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
EMNLP | November 2024
Steering Large Language Models between Code Execution and Textual Reasoning
Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
October 2024
Natural Language Decomposition and Interpretation of Complex Utterances
Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
IJCAI 2024 | August 2024
Interpreting User Requests in the Context of Natural Language Standing Instructions
Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Ben Van Durme, Harsh Jhamtani
NAACL | June 2024
Node Similarities under Random Projections: Limits and Pathological Cases
Tvrtko Tadić, Cassiano Becker, Jennifer Neville
arXiv: Social and Information Networks | April 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang, Hao Fang, Jason Eisner, Ben Van Durme, Yu Su
arXiv: Computation and Language | March 2024
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
ICML 2024 | December 2023
Do Androids Know They’re Only Dreaming of Electric Sheep?
Sky CH-Wang, Ben Van Durme, Jason Eisner, Chris Kedzie
arXiv: Computation and Language | December 2023
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Ben Van Durme
NeurIPS 2023 Track on Datasets and Benchmarks. | December 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
SCREWS: A Modular Framework for Reasoning with Revisions
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
arXiv: Computation and Language | September 2023
Toward Interactive Dictation
Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
ACL 2023 | July 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers
Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
ACL 2023 | July 2023
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
Findings of ACL 2023 | July 2023
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Ben Van Durme, Jason Eisner, Yu Su
EMNLP 2022 | December 2022
Few-Shot Semantic Parsing with Language Models Trained on Code
Richard Shin, Ben Van Durme
NAACL 2022 | July 2022
Active Programming by Example with a Natural Language Prior
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
EMNLP 2022 | May 2022
Guided K-best Selection for Semantic Parsing Annotation
Anton Belyy, Chieh-yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Alex Nisnevich, Charles Chen, Ben Van Durme
ACL 2022 | May 2022
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson
May 2022
Outstanding Paper Award
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Ben Van Durme
ACL 2022 | May 2022
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Shashank Gupta, Subhabrata (Subho) Mukherjee, Krishan Subudhi, Eduardo Gonzalez, Damien Jose, Ahmed Awadallah, Jianfeng Gao
ArXiv | April 2022
Meta Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata (Subho) Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Awadallah
SIGKDD 2021 (Research Track) | August 2021
Automatic Rephrasing of Transcripts-based Action Items
Amir Cohen, Amir Kantor (amkantor), Sagi Hilleli, Eyal Kolman
Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021 | August 2021
Go-Figure: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
ACL-IJCNLP 2021 | August 2021
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, Chris Quirk
NAACL 2021 | June 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Mengzhou Xia, Guoqing Zheng, Subhabrata (Subho) Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Awadallah
NAACL 2021 | May 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
NAACL | April 2021
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
EACL | April 2021
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
NeurIPS 2020 (Spotlight) | December 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Smart To-Do : Automatic Generation of To-Do List from Emails
Sudipto Mukherjee, Subhabrata (Subho) Mukherjee, Marcello Hasegawa, Ahmed Awadallah, Ryen W. White
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald
EMNLP Workshop on Evaluation and Comparison for NLP systems | May 2020
Novel positional encodings to enable tree-based transformers
Vighnesh Leonardo Shiv, Chris Quirk
NeurIPS 2019 | December 2019
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios
Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, Imed Zitouni
23rd Conference on Computational Natural Language Learning (CoNLL) | November 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
Exploring User Behavior in Email Re-Finding Tasks
Joel Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Awadallah, Milad Shokouhi
The 28th International Web Conference (WWW 2019) | May 2019
Email Triage: Challenges and Opportunities
Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
Characterizing and Predicting Email Deferral Behaviour
Bahar Sarrafzadeh, Ahmed Awadallah, Christopher Lin, CJ Lee, Milad Shokouhi, Susan Dumais
The Twelfth International Conference on Web Search and Data Mining (WSDM) | February 2019
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
NAACL | June 2018
Identifying Task Boundaries in Digital Assistants
Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
The 27th International Web Conference (WWW 2018) | April 2018
Deep Sequential Models for Task Satisfaction Prediction
Rishabh Mehrotra, Ahmed Awadallah, Emine Yilmaz, Milad Shokouhi, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
The 26th ACM Conference on Information and Knowledge Management (CIKM 2017) | November 2017
-
Language-to-Code Translation with a Single Labeled Example
Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
EMNLP | November 2024
Ontologically Faithful Generation of Non-Player Character Dialogues
Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Ben Van Durme, Harsh Jhamtani
EMNLP | November 2024
Learning to Retrieve Iteratively for In-Context Learning
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
EMNLP | November 2024
Natural Language Decomposition and Interpretation of Complex Utterances
Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
IJCAI 2024 | August 2024
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Ben Van Durme
NeurIPS 2023 Track on Datasets and Benchmarks. | December 2023
SCREWS: A Modular Framework for Reasoning with Revisions
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
arXiv: Computation and Language | September 2023
Toward Interactive Dictation
Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
ACL 2023 | July 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers
Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
ACL 2023 | July 2023
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
Findings of ACL 2023 | July 2023
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Mengnan Du, Subhabrata (Subho) Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Awadallah
EACL | April 2023
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Ben Van Durme, Jason Eisner, Yu Su
EMNLP 2022 | December 2022
Few-Shot Semantic Parsing with Language Models Trained on Code
Richard Shin, Ben Van Durme
NAACL 2022 | July 2022
Active Programming by Example with a Natural Language Prior
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
EMNLP 2022 | May 2022
Guided K-best Selection for Semantic Parsing Annotation
Anton Belyy, Chieh-yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Alex Nisnevich, Charles Chen, Ben Van Durme
ACL 2022 | May 2022
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson
May 2022
Outstanding Paper Award
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Ben Van Durme
ACL 2022 | May 2022
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Shashank Gupta, Subhabrata (Subho) Mukherjee, Krishan Subudhi, Eduardo Gonzalez, Damien Jose, Ahmed Awadallah, Jianfeng Gao
ArXiv | April 2022
Meta Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata (Subho) Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Awadallah
SIGKDD 2021 (Research Track) | August 2021
Automatic Rephrasing of Transcripts-based Action Items
Amir Cohen, Amir Kantor (amkantor), Sagi Hilleli, Eyal Kolman
Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021 | August 2021
Go-Figure: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
ACL-IJCNLP 2021 | August 2021
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
Subhabrata (Subho) Mukherjee, Ahmed Awadallah, Jianfeng Gao
ArXiv | June 2021
arXiv:2106.04563
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, Chris Quirk
NAACL 2021 | June 2021
Self-training with Weak Supervision
Giannis Karamanolakis, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah
NAACL 2021 | May 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Mengzhou Xia, Guoqing Zheng, Subhabrata (Subho) Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Awadallah
NAACL 2021 | May 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
NAACL | April 2021
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
EACL | April 2021
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
NeurIPS 2020 (Spotlight) | December 2020
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset
Revanth Rameshkumar, Peter Bailey
ACL 2020 – The 58th Annual Meeting of the Association for Computational Linguistics | July 2020
The CRD3 dataset is available for download at https://github.com/RevanthRameshkumar/CRD3
Learning with Weak Supervision for Email Intent Detection
Kai Shu, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah, Milad Shokouhi, Susan Dumais
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Smart To-Do : Automatic Generation of To-Do List from Emails
Sudipto Mukherjee, Subhabrata (Subho) Mukherjee, Marcello Hasegawa, Ahmed Awadallah, Ryen W. White
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald
EMNLP Workshop on Evaluation and Comparison for NLP systems | May 2020
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios
Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, Imed Zitouni
23rd Conference on Computational Natural Language Learning (CoNLL) | November 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
Proc. of NAACL | June 2019
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
NAACL | June 2018
-
Node Similarities under Random Projections: Limits and Pathological Cases
Tvrtko Tadić, Cassiano Becker, Jennifer Neville
arXiv: Social and Information Networks | April 2024
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
International Conference on Machine Learning 2020 | July 2020
Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
-
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
Differentially private n-gram extraction
Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
NeurIPS 2021 | December 2021
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
International Conference on Machine Learning 2020 | July 2020
Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
-
Meta Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata (Subho) Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Awadallah
SIGKDD 2021 (Research Track) | August 2021
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Learning with Weak Supervision for Email Intent Detection
Kai Shu, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah, Milad Shokouhi, Susan Dumais
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Evaluating User Actions as a Proxy for Email Significance
Tarfah Alrashed, Chia-Jung Lee, Peter Bailey, Christopher Lin, Milad Shokouhi, Susan Dumais
The World Wide Web Conference | May 2019
Exploring User Behavior in Email Re-Finding Tasks
Joel Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Awadallah, Milad Shokouhi
The 28th International Web Conference (WWW 2019) | May 2019
Email Triage: Challenges and Opportunities
Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
Characterizing and Predicting Email Deferral Behaviour
Bahar Sarrafzadeh, Ahmed Awadallah, Christopher Lin, CJ Lee, Milad Shokouhi, Susan Dumais
The Twelfth International Conference on Web Search and Data Mining (WSDM) | February 2019
Better effectiveness metrics for SERPs, cards, and rankings
Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell
Australasian Document Computing Symposium | December 2018
Best paper award
Calendar-Aware Proactive Email Recommendation
Qian Zhao, Paul Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan Dumais
Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) | July 2018
Identifying Task Boundaries in Digital Assistants
Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
The 27th International Web Conference (WWW 2018) | April 2018
Deep Sequential Models for Task Satisfaction Prediction
Rishabh Mehrotra, Ahmed Awadallah, Emine Yilmaz, Milad Shokouhi, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
The 26th ACM Conference on Information and Knowledge Management (CIKM 2017) | November 2017
Identifying User Sessions in Interactions with Intelligent Assistants
Rishabh Mehrota, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Awadallah
The 26th International World Wide Web Conference (WWW 2017) | April 2017
-
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
-
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
International Conference on Machine Learning 2020 | July 2020
Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
Publication Type
-
Language-to-Code Translation with a Single Labeled Example
Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Ben Van Durme, Jason Eisner, Jacob Andreas
EMNLP | November 2024
Ontologically Faithful Generation of Non-Player Character Dialogues
Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Ben Van Durme, Harsh Jhamtani
EMNLP | November 2024
Learning to Retrieve Iteratively for In-Context Learning
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Ben Van Durme
EMNLP | November 2024
Natural Language Decomposition and Interpretation of Complex Utterances
Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Ben Van Durme
IJCAI 2024 | August 2024
Interpreting User Requests in the Context of Natural Language Standing Instructions
Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Ben Van Durme, Harsh Jhamtani
NAACL | June 2024
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell
ICML 2024 | December 2023
Core-sets for Fair and Diverse Data Summarization
Sepideh Mahabadi, Stojan Trajanovski
NeurIPS 2023 | December 2023
Toward Interactive Dictation
Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
ACL 2023 | July 2023
Privacy-Preserving Domain Adaptation of Semantic Parsers
Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
ACL 2023 | July 2023
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein
Findings of ACL 2023 | July 2023
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Mengnan Du, Subhabrata (Subho) Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Awadallah
EACL | April 2023
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Ben Van Durme, Jason Eisner, Yu Su
EMNLP 2022 | December 2022
Few-Shot Semantic Parsing with Language Models Trained on Code
Richard Shin, Ben Van Durme
NAACL 2022 | July 2022
Active Programming by Example with a Natural Language Prior
Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
EMNLP 2022 | May 2022
Guided K-best Selection for Semantic Parsing Annotation
Anton Belyy, Chieh-yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Alex Nisnevich, Charles Chen, Ben Van Durme
ACL 2022 | May 2022
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue
Jiawei Zhou, Jason Eisner, Michael Newman, Emmanouil Antonios Platanios, Sam Thomson
May 2022
Outstanding Paper Award
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Ben Van Durme
ACL 2022 | May 2022
Differentially private n-gram extraction
Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
NeurIPS 2021 | December 2021
Meta Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang, Subhabrata (Subho) Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Awadallah
SIGKDD 2021 (Research Track) | August 2021
Automatic Rephrasing of Transcripts-based Action Items
Amir Cohen, Amir Kantor (amkantor), Sagi Hilleli, Eyal Kolman
Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021 | August 2021
Go-Figure: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
ACL-IJCNLP 2021 | August 2021
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, Chris Quirk
NAACL 2021 | June 2021
Self-training with Weak Supervision
Giannis Karamanolakis, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah
NAACL 2021 | May 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Mengzhou Xia, Guoqing Zheng, Subhabrata (Subho) Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Awadallah
NAACL 2021 | May 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev
NAACL | April 2021
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
EACL | April 2021
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
NeurIPS 2020 (Spotlight) | December 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset
Revanth Rameshkumar, Peter Bailey
ACL 2020 – The 58th Annual Meeting of the Association for Computational Linguistics | July 2020
The CRD3 dataset is available for download at https://github.com/RevanthRameshkumar/CRD3
Learning with Weak Supervision for Email Intent Detection
Kai Shu, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah, Milad Shokouhi, Susan Dumais
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Smart To-Do : Automatic Generation of To-Do List from Emails
Sudipto Mukherjee, Subhabrata (Subho) Mukherjee, Marcello Hasegawa, Ahmed Awadallah, Ryen W. White
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models
Subhabrata (Subho) Mukherjee, Ahmed Awadallah
Annual Conference of the Association for Computational Linguistics (ACL 2020) | July 2020
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
International Conference on Machine Learning 2020 | July 2020
Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization
Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald
EMNLP Workshop on Evaluation and Comparison for NLP systems | May 2020
Novel positional encodings to enable tree-based transformers
Vighnesh Leonardo Shiv, Chris Quirk
NeurIPS 2019 | December 2019
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios
Kunho Kim, Rahul Jha, Kyle Williams, Alex Marin, Imed Zitouni
23rd Conference on Computational Natural Language Learning (CoNLL) | November 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan
Association for Computational Linguistics 2019 | July 2019
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey, Milad Shokouhi
NAACL-HLT 2019 | June 2019
Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
Proc. of NAACL | June 2019
Evaluating User Actions as a Proxy for Email Significance
Tarfah Alrashed, Chia-Jung Lee, Peter Bailey, Christopher Lin, Milad Shokouhi, Susan Dumais
The World Wide Web Conference | May 2019
Exploring User Behavior in Email Re-Finding Tasks
Joel Mackenzie, Kshitiz Gupta, Fang Qiao, Ahmed Awadallah, Milad Shokouhi
The 28th International Web Conference (WWW 2019) | May 2019
Email Triage: Challenges and Opportunities
Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
Characterizing and Predicting Email Deferral Behaviour
Bahar Sarrafzadeh, Ahmed Awadallah, Christopher Lin, CJ Lee, Milad Shokouhi, Susan Dumais
The Twelfth International Conference on Web Search and Data Mining (WSDM) | February 2019
Better effectiveness metrics for SERPs, cards, and rankings
Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell
Australasian Document Computing Symposium | December 2018
Best paper award
Calendar-Aware Proactive Email Recommendation
Qian Zhao, Paul Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan Dumais
Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) | July 2018
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
NAACL | June 2018
Identifying Task Boundaries in Digital Assistants
Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
The 27th International Web Conference (WWW 2018) | April 2018
Deep Sequential Models for Task Satisfaction Prediction
Rishabh Mehrotra, Ahmed Awadallah, Emine Yilmaz, Milad Shokouhi, Imed Zitouni, Ahmed El Kholy, Madian Khabsa
The 26th ACM Conference on Information and Knowledge Management (CIKM 2017) | November 2017
Identifying User Sessions in Interactions with Intelligent Assistants
Rishabh Mehrota, Ahmed El Kholy, Imed Zitouni, Milad Shokouhi, Ahmed Awadallah
The 26th International World Wide Web Conference (WWW 2017) | April 2017
-
Steering Large Language Models between Code Execution and Textual Reasoning
Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
October 2024
-
Node Similarities under Random Projections: Limits and Pathological Cases
Tvrtko Tadić, Cassiano Becker, Jennifer Neville
arXiv: Social and Information Networks | April 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang, Hao Fang, Jason Eisner, Ben Van Durme, Yu Su
arXiv: Computation and Language | March 2024
Do Androids Know They’re Only Dreaming of Electric Sheep?
Sky CH-Wang, Ben Van Durme, Jason Eisner, Chris Kedzie
arXiv: Computation and Language | December 2023
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Ben Van Durme
NeurIPS 2023 Track on Datasets and Benchmarks. | December 2023
SCREWS: A Modular Framework for Reasoning with Revisions
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Ben Van Durme, Jason Eisner, Patrick Xia
arXiv: Computation and Language | September 2023
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners
Shashank Gupta, Subhabrata (Subho) Mukherjee, Krishan Subudhi, Eduardo Gonzalez, Damien Jose, Ahmed Awadallah, Jianfeng Gao
ArXiv | April 2022
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
Subhabrata (Subho) Mukherjee, Ahmed Awadallah, Jianfeng Gao
ArXiv | June 2021
arXiv:2106.04563