Jilin Chen

According to our database, Jilin Chen authored at least 69 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.

CoRR, 2024

Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images.

Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen

CoRR, 2024

2023

Gemini: A Family of Highly Capable Multimodal Models.

Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.

CoRR, 2023

Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses.

Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi

CoRR, 2023

Controlled Decoding from Language Models.

Sidharth Mudgal, Jong Lee, Harish Ganapathy, YaGuang Li, Tao Wang, Yanping Huang, Zhifeng Chen, Heng-Tze Cheng, Michael Collins, Trevor Strohman, Jilin Chen, Alex Beutel, Ahmad Beirami

CoRR, 2023

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning.

Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel

CoRR, 2023

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks.

Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel

CoRR, 2023

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.

Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy

CoRR, 2023

Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification.

James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami

CoRR, 2023

Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning.

Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen

CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel

CoRR, 2023

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting.

Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures.

Amanda Baughan, Xuezhi Wang, Ariel Liu, Allison Mercurio, Jilin Chen, Xiao Ma

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations.

Flavien Prost, Ben Packer, Jilin Chen, Li Wei, Pierre Kremp, Nick Blumm, Susan Wang, Tulsee Doshi, Tonia Osadebe, Lukasz Heldt, Ed H. Chi, Alex Beutel

CoRR, 2022

Flexible text generation for counterfactual fairness probing.

Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster

CoRR, 2022

A Physical Encryption Scheme for OTFS System.

Jilin Chen, Xinjin Lu, Wei Li, Ying Huang, Yanqun Tang, Yue Ma

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.

Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A human-ML collaboration framework for improving video content reviews.

Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Measuring Recommender System Effects with Simulated Users.

Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2021

Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems.

Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the WSDM '21, 2021

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning.

Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective.

Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Measuring and Reducing Gendered Correlations in Pre-trained Models.

Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov

CoRR, 2020

Fairness without Demographics through Adversarially Reweighted Learning.

Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.

Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems.

Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2019

Toward a better trade-off between performance and fairness with kernel-based distribution matching.

Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2019

Transfer of Machine Learning Fairness across Domains.

Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi

CoRR, 2019

Recommending what video to watch next: a multitask ranking system.

Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Fairness in Recommendation Ranking through Pairwise Comparisons.

Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements.

Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning.

Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Evaluation and Refinement of Clustered Search Results with the Crowd.

Amy X. Zhang, Jilin Chen, Wei Chai, Jinjun Xu, Lichan Hong, Ed H. Chi

ACM Trans. Interact. Intell. Syst., 2018

Categorical-attributes-based item classification for recommender systems.

Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts.

Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.

Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi

CoRR, 2017

'Just the Facts: ' Exploring the Relationship Between Emotional Language and Member Satisfaction in Enterprise Online Communities.

Ryan Compton, Jilin Chen, Eben M. Haber, Hernan Badenes, Steve Whittaker

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

The Impact and Evolution of Group Diversity in Online Open Collaboration.

Yuqing Ren, Jilin Chen, John Riedl

Manag. Sci., 2016

Exploring Engagement in a 'Social Crowd' on Twitter.

Jacob Thebault-Spieker, Angbang Xu, Jilin Chen, Jalal Mahmud, Jeffrey Nichols

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015

Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information.

Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols

ACM Trans. Intell. Syst. Technol., 2015

Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning.

Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Making Use of Derived Personality: The Case of Social Media Ad Targeting.

Jilin Chen, Eben M. Haber, Ruogu Kang, Gary Hsieh, Jalal Mahmud

Proceedings of the Ninth International Conference on Web and Social Media, 2015

They Said What?: Exploring the Relationship Between Language Use and Member Satisfaction in Communities.

Tara Matthews, Jalal U. Mahmud, Jilin Chen, Michael J. Muller, Eben M. Haber, Hernan Badenes

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

InkWell: A Creative Writer's Creative Assistant.

Richard P. Gabriel, Jilin Chen, Jeffrey Nichols

Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition, 2015

2014

Why Are You More Engaged? Predicting Social Engagement from Word Use.

Jalal Mahmud, Jilin Chen, Jeffrey Nichols

CoRR, 2014

System U: automatically deriving personality traits from social media for people recommendation.

Hernan Badenes, Mateo N. Bengualid, Jilin Chen, Liang Gou, Eben M. Haber, Jalal Mahmud, Jeffrey W. Nichols, Aditya Pal, Jerald Schoudt, Barton A. Smith, Ying Xuan, Huahai Yang, Michelle X. Zhou

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information.

Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols

Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

Modeling User Attitude toward Controversial Topics in Online Social Media.

Huiji Gao, Jalal Mahmud, Jilin Chen, Jeffrey Nichols, Michelle X. Zhou

Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Understanding individuals' personal values from social media word use.

Jilin Chen, Gary Hsieh, Jalal Mahmud, Jeffrey Nichols

Proceedings of the Computer Supported Cooperative Work, 2014

Selecting an effective niche: an ecological view of the success of online communities.

Haiyi Zhu, Jilin Chen, Tara Matthews, Aditya Pal, Hernan Badenes, Robert E. Kraut

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Social media participation and performance at work: a longitudinal study.

N. Sadat Shami, Jeffrey Nichols, Jilin Chen

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Goals and perceived success of online enterprise communities: what is important to leaders & members?

Tara Matthews, Jilin Chen, Steve Whittaker, Aditya Pal, Haiyi Zhu, Hernan Badenes, Barton A. Smith

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

You read what you value: understanding personal values and reading interests.

Gary Hsieh, Jilin Chen, Jalal Mahmud, Jeffrey Nichols

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

When Will You Answer This? Estimating Response Time in Twitter.

Jalal Mahmud, Jilin Chen, Jeffrey Nichols

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

CrowdE: Filtering Tweets for Direct Customer Engagements.

Jilin Chen, Allen Cypher, Clemens Drews, Jeffrey Nichols

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

CommunityCompare: visually comparing communities for online community leaders in the enterprise.

Anbang Xu, Jilin Chen, Tara Matthews, Michael J. Muller, Hernan Badenes

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012

Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street.

Jilin Chen, Peter Pirolli

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Searching for the goldilocks zone: trade-offs in managing online volunteer groups.

Loxley Sijia Wang, Jilin Chen, Yuqing Ren, John Riedl

Proceedings of the CSCW '12 Computer Supported Cooperative Work, 2012

2011

Speak little and well: recommending conversations in online social streams.

Jilin Chen, Rowan Nairn, Ed Huai-hsin Chi

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010

Conference paper selectivity and impact.

Jilin Chen, Joseph A. Konstan

Commun. ACM, 2010

Eddi: interactive topic-based browsing of social status streams.

Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi

Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology, 2010

The effects of diversity on group productivity and member withdrawal in online volunteer groups.

Jilin Chen, Yuqing Ren, John Riedl

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Short and tweet: experiments on recommending content from information streams.

Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009

Existence theorems of periodic solutions for a class of damped vibration problems.

Xian Wu, Jilin Chen

Appl. Math. Comput., 2009

Make new friends, but keep the old: recommending people on social networking sites.

Jilin Chen, Werner Geyer, Casey Dugan, Michael J. Muller, Ido Guy

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2007

Techlens: a researcher's desktop.

Nishikant Kapoor, Jilin Chen, John T. Butler, Gary C. Fouty, James A. Stemper, John Riedl, Joseph A. Konstan

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Creating, destroying, and restoring value in wikipedia.

Reid Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loren G. Terveen, John Riedl

Proceedings of the 2007 International ACM SIGGROUP Conference on Supporting Group Work, 2007

2006

Diverse Topic Phrase Extraction through Latent Semantic Analysis.

Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006