Jennifer Neville

Partner Research Manager

Papiers de Collaboration

Afficher par:

- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  May 2025
  
  Preprint
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  May 2025
  
  Publication Github
- 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
- Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
  
  Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
  
  Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
  
  DOI Publication Publication PDF
- Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
  
  Tobias Schnabel, Jennifer Neville
  
  EMNLP | November 2024
  
  Publication
- Rethinking Node Representation Interpretation through Relation Coherence
  
  Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal
  
  September 2024
  
  Publication
- WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
  
  Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
  
  ArXiv | August 2024, Vol abs/2408.15549
  
  Publication DOI
- Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
  
  Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
  
  ACL | August 2024
  
  Publication Projet
- On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
  
  Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
  
  2024 Uncertainty in Artificial Intelligence | July 2024
  
  Publication Projet
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Télécharger
- Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
  
  Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
  
  ArXiv | May 2024, Vol abs/2405.04656
  
  DOI Publication
- Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
  
  Tobias Schnabel, Jennifer Neville
  
  April 2024
  
  Publication
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
  
  Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
  
  March 2024
  
  Publication Preprint Projet
- TnT-LLM: Text Mining at Scale with Large Language Models
  
  Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
  
  KDD | March 2024
  
  Publication Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
  
  Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
  
  MSR-TR-2023-32 | September 2023
  
  Publié par Microsoft
  
  This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
  
  Publication Publication Projet Projet
- S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
  
  Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
  
  September 2023
  
  Publication Projet
- Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
  
  Jiayi Liu, Jennifer Neville
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Workplace Recommendation with Temporal Network Objectives
  
  Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
  
  Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
  
  2023 The Web Conference | April 2023
  
  Publication Publication
- Federated Graph Representation Learning using Self-Supervision
  
  Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
  
  2210.15120 | October 2022
  
  Publié par arXiv
  
  Publication
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Lightweight Compositional Embeddings for Incremental Streaming Recommendation
  
  Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
  
  Machine Learning on Graphs, WSDM'22 | February 2022
  
  Publication
- Adversarial graph augmentation to improve graph contrastive learning
  
  Susheel Suresh, Pan Li, Cong Hao
  
  Advances in Neural Information Processing Systems | December 2021
  
  Publication
- Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
  
  Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
  
  ACM SIGKDD Conference on Knowledge Discovery & Data Mining | August 2021
  
  Publication
- A collective learning framework to boost GNN expressiveness for node classification
  
  Mengyue Hang, Jennifer Neville, Bruno Ribeiro
  
  International Conference on Machine Learning | July 2021
  
  Publication
- Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation
  
  Mahak Goindani, Jennifer Neville
  
  International Conference on Autonomous Agents and Multi Agent Systems | May 2021
  
  Publication
- DYMOND: DYnamic MOtif-NoDes Network Generative Model
  
  Giselle Zeno, Timothy La Fond, Jennifer Neville
  
  Proceedings of the Web Conference 2021 | April 2021
  
  Publication

- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  May 2025
  
  Preprint
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  May 2025
  
  Publication Github
- 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
- Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
  
  Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
  
  Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
  
  DOI Publication Publication PDF
- Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
  
  Tobias Schnabel, Jennifer Neville
  
  EMNLP | November 2024
  
  Publication
- Rethinking Node Representation Interpretation through Relation Coherence
  
  Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal
  
  September 2024
  
  Publication
- WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
  
  Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
  
  ArXiv | August 2024, Vol abs/2408.15549
  
  Publication DOI
- Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
  
  Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
  
  ACL | August 2024
  
  Publication Projet
- On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
  
  Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
  
  2024 Uncertainty in Artificial Intelligence | July 2024
  
  Publication Projet
- Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
  
  Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
  
  ArXiv | May 2024, Vol abs/2405.04656
  
  DOI Publication
- Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
  
  Tobias Schnabel, Jennifer Neville
  
  April 2024
  
  Publication
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
  
  Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
  
  March 2024
  
  Publication Preprint Projet
- TnT-LLM: Text Mining at Scale with Large Language Models
  
  Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
  
  KDD | March 2024
  
  Publication Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
  
  Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
  
  MSR-TR-2023-32 | September 2023
  
  Publié par Microsoft
  
  This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
  
  Publication Publication Projet Projet
- S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
  
  Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
  
  September 2023
  
  Publication Projet
- Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
  
  Jiayi Liu, Jennifer Neville
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Workplace Recommendation with Temporal Network Objectives
  
  Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
  
  Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
  
  2023 The Web Conference | April 2023
  
  Publication Publication
- Federated Graph Representation Learning using Self-Supervision
  
  Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
  
  2210.15120 | October 2022
  
  Publié par arXiv
  
  Publication
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Lightweight Compositional Embeddings for Incremental Streaming Recommendation
  
  Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
  
  Machine Learning on Graphs, WSDM'22 | February 2022
  
  Publication
- Adversarial graph augmentation to improve graph contrastive learning
  
  Susheel Suresh, Pan Li, Cong Hao
  
  Advances in Neural Information Processing Systems | December 2021
  
  Publication
- Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
  
  Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
  
  ACM SIGKDD Conference on Knowledge Discovery & Data Mining | August 2021
  
  Publication
- A collective learning framework to boost GNN expressiveness for node classification
  
  Mengyue Hang, Jennifer Neville, Bruno Ribeiro
  
  International Conference on Machine Learning | July 2021
  
  Publication
- Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation
  
  Mahak Goindani, Jennifer Neville
  
  International Conference on Autonomous Agents and Multi Agent Systems | May 2021
  
  Publication
- DYMOND: DYnamic MOtif-NoDes Network Generative Model
  
  Giselle Zeno, Timothy La Fond, Jennifer Neville
  
  Proceedings of the Web Conference 2021 | April 2021
  
  Publication
- Rethinking Node Representation Interpretation through Relation Coherence
  
  Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal
  
  September 2024
  
  Publication
- Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
  
  Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
  
  ACL | August 2024
  
  Publication Projet
- On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
  
  Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
  
  2024 Uncertainty in Artificial Intelligence | July 2024
  
  Publication Projet
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Télécharger
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
  
  Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
  
  March 2024
  
  Publication Preprint Projet
- TnT-LLM: Text Mining at Scale with Large Language Models
  
  Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
  
  KDD | March 2024
  
  Publication Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
  
  Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
  
  MSR-TR-2023-32 | September 2023
  
  Publié par Microsoft
  
  This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
  
  Publication Publication Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  May 2025
  
  Publication Github
- Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
  
  Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
  
  Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
  
  DOI Publication Publication PDF
- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  May 2025
  
  Preprint
- 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
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Télécharger
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
  
  Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
  
  March 2024
  
  Publication Preprint Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Workplace Recommendation with Temporal Network Objectives
  
  Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet

- Lost in Transmission: When and Why LLMs Fail to Reason Globally
  
  Tobias Schnabel, Kiran Tomlinson, Adith Swaminathan, Jennifer Neville
  
  May 2025
  
  Preprint
- Rethinking Node Representation Interpretation through Relation Coherence
  
  Ying-Chun Lin, Jennifer Neville, Cassiano Becker, Purvanshi Metha, Nabiha Asghar, Vipul Agarwal
  
  September 2024
  
  Publication
- Prompts As Programs: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
  
  Tobias Schnabel, Jennifer Neville
  
  April 2024
  
  Publication
- The Use of Generative Search Engines for Knowledge Work and Complex Tasks
  
  Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
  
  March 2024
  
  Publication Preprint Projet
- S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
  
  Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
  
  September 2023
  
  Publication Projet
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  May 2025
  
  Publication Github
- 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
- Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
  
  Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
  
  Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
  
  DOI Publication Publication PDF
- Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
  
  Tobias Schnabel, Jennifer Neville
  
  EMNLP | November 2024
  
  Publication
- Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
  
  Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
  
  ACL | August 2024
  
  Publication Projet
- On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
  
  Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
  
  2024 Uncertainty in Artificial Intelligence | July 2024
  
  Publication Projet
- MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
  
  Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
  
  2024 The Web Conference | May 2024
  
  Publication PDF Télécharger
- TnT-LLM: Text Mining at Scale with Large Language Models
  
  Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
  
  KDD | March 2024
  
  Publication Projet
- Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
  
  Jiayi Liu, Jennifer Neville
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Workplace Recommendation with Temporal Network Objectives
  
  Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
  
  2023 Knowledge Discovery and Data Mining | August 2023
  
  Publication
- Hindsight Learning for MDPs with Exogenous Inputs
  
  Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
  
  2023 International Conference on Machine Learning | July 2023
  
  Preprint Projet Projet
- Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
  
  Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
  
  2023 The Web Conference | April 2023
  
  Publication Publication
- Lightweight Compositional Embeddings for Incremental Streaming Recommendation
  
  Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
  
  Machine Learning on Graphs, WSDM'22 | February 2022
  
  Publication
- Adversarial graph augmentation to improve graph contrastive learning
  
  Susheel Suresh, Pan Li, Cong Hao
  
  Advances in Neural Information Processing Systems | December 2021
  
  Publication
- Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
  
  Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
  
  ACM SIGKDD Conference on Knowledge Discovery & Data Mining | August 2021
  
  Publication
- A collective learning framework to boost GNN expressiveness for node classification
  
  Mengyue Hang, Jennifer Neville, Bruno Ribeiro
  
  International Conference on Machine Learning | July 2021
  
  Publication
- Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation
  
  Mahak Goindani, Jennifer Neville
  
  International Conference on Autonomous Agents and Multi Agent Systems | May 2021
  
  Publication
- DYMOND: DYnamic MOtif-NoDes Network Generative Model
  
  Giselle Zeno, Timothy La Fond, Jennifer Neville
  
  Proceedings of the Web Conference 2021 | April 2021
  
  Publication
- WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
  
  Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
  
  ArXiv | August 2024, Vol abs/2408.15549
  
  Publication DOI
- Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
  
  Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
  
  ArXiv | May 2024, Vol abs/2405.04656
  
  DOI Publication
- Microsoft New Future of Work Report 2023
  
  Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
  
  MSR-TR-2023-34 | December 2023
  
  Publié par Microsoft
  
  Publication Projet Projet
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
  
  Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
  
  MSR-TR-2023-32 | September 2023
  
  Publié par Microsoft
  
  This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
  
  Publication Publication Projet Projet
- Federated Graph Representation Learning using Self-Supervision
  
  Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
  
  2210.15120 | October 2022
  
  Publié par arXiv
  
  Publication
- Microsoft New Future of Work Report 2022
  
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
  
  MSR-TR-2022-3 | May 2022
  
  Publié par Microsoft
  
  Publication Vidéo Vidéo Vidéo Vidéo Vidéo Vidéo Projet Projet Projet Projet