Microsoft Search, Assistant and Intelligence

Papiers de Collaboration

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- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Node Similarities under Random Projections: Limits and Pathological Cases
  
  Tvrtko Tadić, Cassiano Becker, Jennifer Neville
  
  International Conference on Learning Representations (ICLR) | April 2025
  
  Preprint Publication
- Steering Large Language Models between Code Execution and Textual Reasoning
  
  Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
  
  ICLR | April 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI Publication
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  DOI Publication Publication
- 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
  
  Publication
- Core-sets for Fair and Diverse Data Summarization
  
  Sepideh Mahabadi, Stojan Trajanovski
  
  NeurIPS 2023 | December 2023
  
  Publication PDF
- 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
  
  Preprint
- Toward Interactive Dictation
  
  Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
  
  ACL 2023 | July 2023
  
  Publication
- Privacy-Preserving Domain Adaptation of Semantic Parsers
  
  Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
  
  ACL 2023 | July 2023
  
  Publication Video
- 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
  
  Publication
- 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
  
  Publication Video
- 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
  
  Publication Project Project Project
- 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
  
  Publication
- Few-Shot Semantic Parsing with Language Models Trained on Code
  
  Richard Shin, Ben Van Durme
  
  NAACL 2022 | July 2022
  
  Publication Publication
- Active Programming by Example with a Natural Language Prior
  
  Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
  
  EMNLP 2022 | May 2022
  
  Publication
- 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
  
  Publication PDF
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- Differentially private n-gram extraction
  
  Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  NeurIPS 2021 | December 2021
  
  PDF Publication Project
- 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
  
  Publication Github Project
- 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
  
  DOI Publication Publication Project Project
- Go-Figure: A Meta Evaluation of Factuality in Summarization
  
  Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Publication
- 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
  
  PDF Publication
- XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah, Jianfeng Gao
  
  ArXiv | June 2021
  
  arXiv:2106.04563
  
  Publication Github Projet Projet
- 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
  
  Publication Github Project
- Self-training with Weak Supervision
  
  Giannis Karamanolakis, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah
  
  NAACL 2021 | May 2021
  
  Publication Github Project Project
- 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
  
  Publication
- AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
  
  Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
  
  EACL | April 2021
  
  Publication
- Uncertainty-aware Self-training for Few-shot Text Classification
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah
  
  NeurIPS 2020 (Spotlight) | December 2020
  
  Publication Github Project
- 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
  
  Publication
- 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
  
  Publication
- 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 Github Project
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication Github Project Project
- 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
  
  Publication
- Novel positional encodings to enable tree-based transformers
  
  Vighnesh Leonardo Shiv, Chris Quirk
  
  NeurIPS 2019 | December 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Projet
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- Towards Content Transfer through Grounded Text Generation
  
  Shrimai Prabhumoye, Chris Quirk, Michel Galley
  
  Proc. of NAACL | June 2019
  
  PDF
- 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
  
  Publication
- 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
  
  Publication
- Email Triage: Challenges and Opportunities
  
  Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
  
  ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- Domain Adaptation for Commitment Detection in Email
  
  Hosein Azarbonyad, Robert Sim, Ryen W. White
  
  Web Search and Data Mining (WSDM ’19) | February 2019
  
  PDF DOI
- 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
  
  DOI Publication
- 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
  
  Publication Projet
- Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
  
  Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
  
  NAACL | June 2018
  
  Publication
- Identifying Task Boundaries in Digital Assistants
  
  Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
  
  Companion Proceedings of the The Web Conference 2018 | April 2018
  
  DOI Publication Publication
- 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
  
  Publication
- 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
  
  Publication

- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Steering Large Language Models between Code Execution and Textual Reasoning
  
  Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
  
  ICLR | April 2025
  
  Publication
- Node Similarities under Random Projections: Limits and Pathological Cases
  
  Tvrtko Tadić, Cassiano Becker, Jennifer Neville
  
  International Conference on Learning Representations (ICLR) | April 2025
  
  Preprint Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI Publication
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  DOI Publication Publication
- 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
  
  Preprint
- 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
  
  Publication
- Core-sets for Fair and Diverse Data Summarization
  
  Sepideh Mahabadi, Stojan Trajanovski
  
  NeurIPS 2023 | December 2023
  
  Publication PDF
- 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
  
  Preprint
- Toward Interactive Dictation
  
  Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
  
  ACL 2023 | July 2023
  
  Publication
- Privacy-Preserving Domain Adaptation of Semantic Parsers
  
  Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
  
  ACL 2023 | July 2023
  
  Publication Video
- 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
  
  Publication
- 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
  
  Publication Video
- 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
  
  Publication
- Few-Shot Semantic Parsing with Language Models Trained on Code
  
  Richard Shin, Ben Van Durme
  
  NAACL 2022 | July 2022
  
  Publication Publication
- Active Programming by Example with a Natural Language Prior
  
  Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
  
  EMNLP 2022 | May 2022
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication PDF
- 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
  
  Publication
- 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
  
  Publication Github Project
- 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
  
  DOI Publication Publication Project Project
- Go-Figure: A Meta Evaluation of Factuality in Summarization
  
  Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Publication
- 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
  
  PDF Publication
- 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
  
  Publication Github Project
- 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
  
  Publication
- AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
  
  Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
  
  EACL | April 2021
  
  Publication
- Uncertainty-aware Self-training for Few-shot Text Classification
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah
  
  NeurIPS 2020 (Spotlight) | December 2020
  
  Publication Github Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Github Project Project
- 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
  
  Publication
- Novel positional encodings to enable tree-based transformers
  
  Vighnesh Leonardo Shiv, Chris Quirk
  
  NeurIPS 2019 | December 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Projet
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- 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
  
  Publication
- Email Triage: Challenges and Opportunities
  
  Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
  
  ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
  
  Publication
- 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
  
  Publication
- Domain Adaptation for Commitment Detection in Email
  
  Hosein Azarbonyad, Robert Sim, Ryen W. White
  
  Web Search and Data Mining (WSDM ’19) | February 2019
  
  PDF DOI
- 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
  
  Publication
- Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
  
  Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
  
  NAACL | June 2018
  
  Publication
- Identifying Task Boundaries in Digital Assistants
  
  Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
  
  Companion Proceedings of the The Web Conference 2018 | April 2018
  
  DOI Publication Publication
- 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
  
  Publication
- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI Publication
- 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
  
  Publication
- 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
  
  Preprint
- Toward Interactive Dictation
  
  Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
  
  ACL 2023 | July 2023
  
  Publication
- Privacy-Preserving Domain Adaptation of Semantic Parsers
  
  Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
  
  ACL 2023 | July 2023
  
  Publication Video
- 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
  
  Publication
- 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
  
  Publication Video
- 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
  
  Publication Project Project Project
- 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
  
  Publication
- Few-Shot Semantic Parsing with Language Models Trained on Code
  
  Richard Shin, Ben Van Durme
  
  NAACL 2022 | July 2022
  
  Publication Publication
- Active Programming by Example with a Natural Language Prior
  
  Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
  
  EMNLP 2022 | May 2022
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication PDF
- 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
  
  Publication
- 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
  
  Publication Github Project
- 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
  
  DOI Publication Publication Project Project
- Go-Figure: A Meta Evaluation of Factuality in Summarization
  
  Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Publication
- XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah, Jianfeng Gao
  
  ArXiv | June 2021
  
  arXiv:2106.04563
  
  Publication Github Projet Projet
- 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
  
  PDF Publication
- Self-training with Weak Supervision
  
  Giannis Karamanolakis, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah
  
  NAACL 2021 | May 2021
  
  Publication Github Project Project
- 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
  
  Publication Github Project
- 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
  
  Publication
- AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
  
  Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
  
  EACL | April 2021
  
  Publication
- Uncertainty-aware Self-training for Few-shot Text Classification
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah
  
  NeurIPS 2020 (Spotlight) | December 2020
  
  Publication Github Project
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication Github Project Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Projet
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- Towards Content Transfer through Grounded Text Generation
  
  Shrimai Prabhumoye, Chris Quirk, Michel Galley
  
  Proc. of NAACL | June 2019
  
  PDF
- Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
  
  Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
  
  NAACL | June 2018
  
  Publication
- Node Similarities under Random Projections: Limits and Pathological Cases
  
  Tvrtko Tadić, Cassiano Becker, Jennifer Neville
  
  International Conference on Learning Representations (ICLR) | April 2025
  
  Preprint Publication
- 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 Github Project
- Core-sets for Fair and Diverse Data Summarization
  
  Sepideh Mahabadi, Stojan Trajanovski
  
  NeurIPS 2023 | December 2023
  
  Publication PDF
- Differentially private n-gram extraction
  
  Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  NeurIPS 2021 | December 2021
  
  PDF Publication Project
- 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 Github Project
- 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
  
  Publication Github Project
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication
- Email Triage: Challenges and Opportunities
  
  Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
  
  ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
  
  Publication
- 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
  
  Publication
- Domain Adaptation for Commitment Detection in Email
  
  Hosein Azarbonyad, Robert Sim, Ryen W. White
  
  Web Search and Data Mining (WSDM ’19) | February 2019
  
  PDF DOI
- 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
  
  Publication
- 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
  
  DOI Publication
- 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
  
  Publication Projet
- Identifying Task Boundaries in Digital Assistants
  
  Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
  
  Companion Proceedings of the The Web Conference 2018 | April 2018
  
  DOI Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Projet
- 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
  
  Publication
- 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 Github Project

- LM Agents for Coordinating Multi-User Information Gathering
  
  Harsh Jhamtani, Jacob Andreas, Ben Van Durme
  
  ACL | July 2025
  
  Publication
- Steering Large Language Models between Code Execution and Textual Reasoning
  
  Yongchao Chen, Harsh Jhamtani, Srinagesh Sharma, Chuchu Fan, Chi Wang
  
  ICLR | April 2025
  
  Publication
- Node Similarities under Random Projections: Limits and Pathological Cases
  
  Tvrtko Tadić, Cassiano Becker, Jennifer Neville
  
  International Conference on Learning Representations (ICLR) | April 2025
  
  Preprint Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  DOI Publication
- 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
  
  Publication
- 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
  
  DOI Publication Publication
- Core-sets for Fair and Diverse Data Summarization
  
  Sepideh Mahabadi, Stojan Trajanovski
  
  NeurIPS 2023 | December 2023
  
  Publication PDF
- Toward Interactive Dictation
  
  Belinda Z. Li, Jason Eisner, Adam Pauls, Sam Thomson
  
  ACL 2023 | July 2023
  
  Publication
- Privacy-Preserving Domain Adaptation of Semantic Parsers
  
  Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner
  
  ACL 2023 | July 2023
  
  Publication Video
- 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
  
  Publication
- 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
  
  Publication Video
- 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
  
  Publication Project Project Project
- 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
  
  Publication
- Few-Shot Semantic Parsing with Language Models Trained on Code
  
  Richard Shin, Ben Van Durme
  
  NAACL 2022 | July 2022
  
  Publication Publication
- Active Programming by Example with a Natural Language Prior
  
  Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner
  
  EMNLP 2022 | May 2022
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication PDF
- Differentially private n-gram extraction
  
  Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  NeurIPS 2021 | December 2021
  
  PDF Publication Project
- 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
  
  Publication Github Project
- 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
  
  DOI Publication Publication Project Project
- Go-Figure: A Meta Evaluation of Factuality in Summarization
  
  Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
  
  ACL-IJCNLP 2021 | August 2021
  
  Preprint Publication
- 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
  
  PDF Publication
- Self-training with Weak Supervision
  
  Giannis Karamanolakis, Subhabrata (Subho) Mukherjee, Guoqing Zheng, Ahmed Awadallah
  
  NAACL 2021 | May 2021
  
  Publication Github Project Project
- 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
  
  Publication Github Project
- 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
  
  Publication
- AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
  
  Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz
  
  EACL | April 2021
  
  Publication
- Uncertainty-aware Self-training for Few-shot Text Classification
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah
  
  NeurIPS 2020 (Spotlight) | December 2020
  
  Publication Github Project
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Project
- 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
  
  Publication
- 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
  
  Publication Github Project Project
- 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 Github Project
- 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
  
  Publication
- Novel positional encodings to enable tree-based transformers
  
  Vighnesh Leonardo Shiv, Chris Quirk
  
  NeurIPS 2019 | December 2019
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Projet
- Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
  
  Budhaditya Deb, Peter Bailey, Milad Shokouhi
  
  NAACL-HLT 2019 | June 2019
  
  Publication
- Towards Content Transfer through Grounded Text Generation
  
  Shrimai Prabhumoye, Chris Quirk, Michel Galley
  
  Proc. of NAACL | June 2019
  
  PDF
- 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
  
  Publication
- 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
  
  Publication
- Email Triage: Challenges and Opportunities
  
  Bahar Sarrafzadeh, Ahmed Awadallah, Milad Shokouhi
  
  ACM SIGIR Conference on Human Information Interaction and Retrievak (CHIIR) | March 2019
  
  Publication
- 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
  
  Publication
- Domain Adaptation for Commitment Detection in Email
  
  Hosein Azarbonyad, Robert Sim, Ryen W. White
  
  Web Search and Data Mining (WSDM ’19) | February 2019
  
  PDF DOI
- 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
  
  Publication
- 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
  
  DOI Publication
- 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
  
  Publication Projet
- Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
  
  Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni
  
  NAACL | June 2018
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
  
  Subhabrata (Subho) Mukherjee, Ahmed Awadallah, Jianfeng Gao
  
  ArXiv | June 2021
  
  arXiv:2106.04563
  
  Publication Github Projet Projet
- Identifying Task Boundaries in Digital Assistants
  
  Madian Khabsa, Ahmed El Kholy, Ahmed Awadallah, Imed Zitouni, Milad Shokouhi
  
  Companion Proceedings of the The Web Conference 2018 | April 2018
  
  DOI Publication Publication