Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
NeurIPS 2025 | May 2025
Robert Sim
Senior Principal Research Manager
论文与出版物
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Exploring How LLMs Capture and Represent Domain-Specific Knowledge
Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
April 2025
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-
-
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah
ICLR 2024 | February 2024
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Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim
ArXiv | October 2023, 第 abs/2310.02842 卷
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Project Florida: Federated Learning Made Easy
Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
| July 2023
作者：Microsoft
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Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue, Huseyin Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
ACL 2023 | July 2023
-
Federated Multilingual Models for Medical Transcript Analysis
Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis
Conference on Health, Inference, and Learning | June 2023
-
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis
NeurIPS 2025 | June 2023
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FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
June 2023
-
Analyzing Leakage of Personally Identifiable Information in Language Models
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023 IEEE Symposium on Security and Privacy | May 2023
-
TROJANPUZZLE: Covertly Poisoning Code-Suggestion Models
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
January 2023
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Understanding questions that arise when working with business documents
FARNAZ JAHANBAKHSH, Elnaz Nouri, Robert Sim, Ryen W. White, Adam Fourney
Human-Computer Interaction | November 2022
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Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
IJCAI-ECAI'22 | August 2022
-
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'22) | July 2022
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Privacy Leakage in Text Classification: A Data Extraction Approach
Adel Elmahdy, Huseyin Inan, Robert Sim
June 2022
-
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
-
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-
Membership Inference Attacks Against NLP Classification Models
Virat Shejwalkar, Huseyin Inan, Amir Houmansadr, Robert Sim
NeurIPS 2021 Workshop Privacy in Machine Learning | September 2021
-
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna Wallach
ACL-IJCNLP 2021 | August 2021
-
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021) | June 2021
-
On Privacy and Confidentiality of Communications in Organizational Graphs
Masoumeh Shafieinejad, Huseyin A. Inan (huinan), Marcello Hasegawa, Robert Sim
May 2021
-
MeetingCoach: An Intelligent Dashboard for Supporting Effective and Inclusive Meetings
Samiha Samrose, Daniel McDuff, Robert Sim, Jina Suh, Kael Rowan, Javier Hernandez, Sean Rintel, Kevin Moynihan, Mary Czerwinski
CHI 2021 | May 2021
-
Training Data Leakage Analysis in Language Models
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
February 2021
-
-
-
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
-
Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
Proceedings of the 43 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) | July 2020
-
Conversations with Documents: An Exploration of Document-Centered Assistance
Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Step-wise Recommendation for Complex Task Support
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
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Task Completion Detection
Ryen W. White, Ahmed Awadallah, Robert Sim
Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
-
Multi-device digital assistance
Ryen W. White, Adam Fourney, Allen Herring, Paul Bennett, Nirupama Chandrasekaran, Robert Sim, Elnaz Nouri, Mark Encarnación
Communications of the ACM | July 2019
-
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
-
Supporting Complex Tasks Using Multiple Devices
Elnaz Nouri, Adam Fourney, Robert Sim, Ryen W. White
Task Intelligence Workshop @ WSDM 2019 Conference | January 2019
-
-
-
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
NeurIPS 2025 | May 2025
-
Exploring How LLMs Capture and Represent Domain-Specific Knowledge
Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
April 2025
-
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah
ICLR 2024 | February 2024
-
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim
ArXiv | October 2023, 第 abs/2310.02842 卷
-
Project Florida: Federated Learning Made Easy
Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
| July 2023
作者：Microsoft
-
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue, Huseyin Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
ACL 2023 | July 2023
-
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis
NeurIPS 2025 | June 2023
-
Federated Multilingual Models for Medical Transcript Analysis
Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis
Conference on Health, Inference, and Learning | June 2023
-
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
June 2023
-
Analyzing Leakage of Personally Identifiable Information in Language Models
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023 IEEE Symposium on Security and Privacy | May 2023
-
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
IJCAI-ECAI'22 | August 2022
-
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'22) | July 2022
-
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
-
Membership Inference Attacks Against NLP Classification Models
Virat Shejwalkar, Huseyin Inan, Amir Houmansadr, Robert Sim
NeurIPS 2021 Workshop Privacy in Machine Learning | September 2021
-
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021) | June 2021
-
On Privacy and Confidentiality of Communications in Organizational Graphs
Masoumeh Shafieinejad, Huseyin A. Inan (huinan), Marcello Hasegawa, Robert Sim
May 2021
-
Training Data Leakage Analysis in Language Models
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
February 2021
-
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
-
Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
Proceedings of the 43 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) | July 2020
-
Step-wise Recommendation for Complex Task Support
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Conversations with Documents: An Exploration of Document-Centered Assistance
Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
-
Task Completion Detection
Ryen W. White, Ahmed Awadallah, Robert Sim
Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
-
Multi-device digital assistance
Ryen W. White, Adam Fourney, Allen Herring, Paul Bennett, Nirupama Chandrasekaran, Robert Sim, Elnaz Nouri, Mark Encarnación
Communications of the ACM | July 2019
-
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
-
Supporting Complex Tasks Using Multiple Devices
Elnaz Nouri, Adam Fourney, Robert Sim, Ryen W. White
Task Intelligence Workshop @ WSDM 2019 Conference | January 2019
-
-
-
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
IJCAI-ECAI'22 | August 2022
-
-
-
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue, Huseyin Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
ACL 2023 | July 2023
-
Analyzing Leakage of Personally Identifiable Information in Language Models
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023 IEEE Symposium on Security and Privacy | May 2023
-
TROJANPUZZLE: Covertly Poisoning Code-Suggestion Models
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
January 2023
-
Privacy Leakage in Text Classification: A Data Extraction Approach
Adel Elmahdy, Huseyin Inan, Robert Sim
June 2022
-
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
-
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021) | June 2021
-
On Privacy and Confidentiality of Communications in Organizational Graphs
Masoumeh Shafieinejad, Huseyin A. Inan (huinan), Marcello Hasegawa, Robert Sim
May 2021
-
Training Data Leakage Analysis in Language Models
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
February 2021
-
-
-
Understanding questions that arise when working with business documents
FARNAZ JAHANBAKHSH, Elnaz Nouri, Robert Sim, Ryen W. White, Adam Fourney
Human-Computer Interaction | November 2022
-
MeetingCoach: An Intelligent Dashboard for Supporting Effective and Inclusive Meetings
Samiha Samrose, Daniel McDuff, Robert Sim, Jina Suh, Kael Rowan, Javier Hernandez, Sean Rintel, Kevin Moynihan, Mary Czerwinski
CHI 2021 | May 2021
-
Multi-device digital assistance
Ryen W. White, Adam Fourney, Allen Herring, Paul Bennett, Nirupama Chandrasekaran, Robert Sim, Elnaz Nouri, Mark Encarnación
Communications of the ACM | July 2019
-
Supporting Complex Tasks Using Multiple Devices
Elnaz Nouri, Adam Fourney, Robert Sim, Ryen W. White
Task Intelligence Workshop @ WSDM 2019 Conference | January 2019
-
-
-
Federated Multilingual Models for Medical Transcript Analysis
Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis
Conference on Health, Inference, and Learning | June 2023
-
-
-
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'22) | July 2022
-
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna Wallach
ACL-IJCNLP 2021 | August 2021
-
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021) | June 2021
-
On Privacy and Confidentiality of Communications in Organizational Graphs
Masoumeh Shafieinejad, Huseyin A. Inan (huinan), Marcello Hasegawa, Robert Sim
May 2021
-
Training Data Leakage Analysis in Language Models
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
February 2021
-
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
-
Supporting Complex Tasks Using Multiple Devices
Elnaz Nouri, Adam Fourney, Robert Sim, Ryen W. White
Task Intelligence Workshop @ WSDM 2019 Conference | January 2019
-
-
-
MeetingCoach: An Intelligent Dashboard for Supporting Effective and Inclusive Meetings
Samiha Samrose, Daniel McDuff, Robert Sim, Jina Suh, Kael Rowan, Javier Hernandez, Sean Rintel, Kevin Moynihan, Mary Czerwinski
CHI 2021 | May 2021
-
-
-
Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
Proceedings of the 43 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) | July 2020
-
Step-wise Recommendation for Complex Task Support
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Conversations with Documents: An Exploration of Document-Centered Assistance
Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
-
Task Completion Detection
Ryen W. White, Ahmed Awadallah, Robert Sim
Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
-
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
-
Supporting Complex Tasks Using Multiple Devices
Elnaz Nouri, Adam Fourney, Robert Sim, Ryen W. White
Task Intelligence Workshop @ WSDM 2019 Conference | January 2019
-
-
-
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
NeurIPS 2025 | May 2025
-
Privately Aligning Language Models with Reinforcement Learning
Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
ICLR 2024 | May 2024
-
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah
ICLR 2024 | February 2024
-
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Xiang Yue, Huseyin Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
ACL 2023 | July 2023
-
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings
Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao, Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Robert Sim, Dimitrios Dimitriadis, Anastasios Kyrillidis
NeurIPS 2025 | June 2023
-
Federated Multilingual Models for Medical Transcript Analysis
Andre Manoel, Mirian Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Dan Miller, Danny Karmon, Robert Sim, Dimitrios Dimitriadis
Conference on Health, Inference, and Learning | June 2023
-
Analyzing Leakage of Personally Identifiable Information in Language Models
Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin
2023 IEEE Symposium on Security and Privacy | May 2023
-
Understanding questions that arise when working with business documents
FARNAZ JAHANBAKHSH, Elnaz Nouri, Robert Sim, Ryen W. White, Adam Fourney
Human-Computer Interaction | November 2022
-
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis
IJCAI-ECAI'22 | August 2022
-
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'22) | July 2022
-
Membership Inference Attacks Against NLP Classification Models
Virat Shejwalkar, Huseyin Inan, Amir Houmansadr, Robert Sim
NeurIPS 2021 Workshop Privacy in Machine Learning | September 2021
-
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna Wallach
ACL-IJCNLP 2021 | August 2021
-
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Fatemehsadat Mireshghallah, Huseyin Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021) | June 2021
-
MeetingCoach: An Intelligent Dashboard for Supporting Effective and Inclusive Meetings
Samiha Samrose, Daniel McDuff, Robert Sim, Jina Suh, Kael Rowan, Javier Hernandez, Sean Rintel, Kevin Moynihan, Mary Czerwinski
CHI 2021 | May 2021
-
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
-
Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
Proceedings of the 43 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) | July 2020
-
Step-wise Recommendation for Complex Task Support
Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Conversations with Documents: An Exploration of Document-Centered Assistance
Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, Ryen W. White
2020 Conference on Human Information Interaction and Retrieval | March 2020
-
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
-
Task Completion Detection
Ryen W. White, Ahmed Awadallah, Robert Sim
Proceedings of the 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
-
Domain Adaptation for Commitment Detection in Email
Hosein Azarbonyad, Robert Sim, Ryen W. White
Web Search and Data Mining (WSDM ’19) | February 2019
-
Supporting Complex Tasks Using Multiple Devices
Elnaz Nouri, Adam Fourney, Robert Sim, Ryen W. White
Task Intelligence Workshop @ WSDM 2019 Conference | January 2019
-
-
-
Exploring How LLMs Capture and Represent Domain-Specific Knowledge
Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
April 2025
-
FedJETs: Efficient Just-In-Time Personalization with Federated Mixture of Experts
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
June 2023
-
TROJANPUZZLE: Covertly Poisoning Code-Suggestion Models
Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim
January 2023
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Training Data Leakage Analysis in Language Models
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
February 2021
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Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim
ArXiv | October 2023, 第 abs/2310.02842 卷
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Multi-device digital assistance
Ryen W. White, Adam Fourney, Allen Herring, Paul Bennett, Nirupama Chandrasekaran, Robert Sim, Elnaz Nouri, Mark Encarnación
Communications of the ACM | July 2019
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Project Florida: Federated Learning Made Easy
Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim
| July 2023
作者：Microsoft
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Privacy Leakage in Text Classification: A Data Extraction Approach
Adel Elmahdy, Huseyin Inan, Robert Sim
June 2022
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FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim
March 2022
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On Privacy and Confidentiality of Communications in Organizational Graphs
Masoumeh Shafieinejad, Huseyin A. Inan (huinan), Marcello Hasegawa, Robert Sim
May 2021
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