Jilin Chen

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 56

Top Topics

Text Generation

Pairwise Comparison

Ensemble Learning

Top Venues

Publications

Laura Weidinger, Joslyn Barnhart, Jenny Brennan, Christina Butterfield, Susie Young, Will Hawkins, Lisa Anne Hendricks, Ramona Comanescu, Oscar Chang, Mikel Rodriguez, Jennifer Beroshi, Dawn Bloxwich, Lev Proleev, Jilin Chen, Sebastian Farquhar, Lewis Ho, Iason Gabriel, Allan Dafoe, William Isaac
Holistic Safety and Responsibility Evaluations of Advanced AI Models. CoRR (2024)
Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CHI Extended Abstracts (2024)
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. Trans. Mach. Learn. Res. 2024 (2024)
Huafeng Xue, Jilin Chen, Ruichun Tang
Improved YOLOv8 for Small Object Detection. CNIOT (2024)
Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. CoRR (2024)
Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. FAccT (2024)
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR (2024)
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.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR (2024)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP (2023)
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.
Gemini: A Family of Highly Capable Multimodal Models. CoRR (2023)
Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. CoRR (2023)
James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. CoRR (2023)
Amanda Baughan, Allison Mercurio, Ariel Liu, Xuezhi Wang, Jilin Chen, Xiao Ma
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. CoRR (2023)
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR (2023)
Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc Le, Ed H. Chi
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CoRR (2023)
Amanda Baughan, Xuezhi Wang, Ariel Liu, Allison Mercurio, Jilin Chen, Xiao Ma
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. CHI (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR (2023)
Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. CoRR (2023)
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
Controlled Decoding from Language Models. CoRR (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) (2023)
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. CoRR (2023)
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR (2023)
Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster
Flexible text generation for counterfactual fairness probing. CoRR (2022)
Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen
A human-ML collaboration framework for improving video content reviews. CIKM Workshops (2022)
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. CoRR (2022)
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
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations. CoRR (2022)
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) (2022)
Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen
A Human-ML Collaboration Framework for Improving Video Content Reviews. CoRR (2022)
Jilin Chen, Xinjin Lu, Wei Li, Ying Huang, Yanqun Tang, Yue Ma
A Physical Encryption Scheme for OTFS System. ICCT (2022)
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. KDD (2021)
Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. AIES (2021)
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. CoRR (2021)
Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
Measuring Recommender System Effects with Simulated Users. CoRR (2021)
Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. WSDM (2021)
Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. CoRR (2021)
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed Chi
Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS (2020)
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR (2020)
Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
Fairness without Demographics through Adversarially Reweighted Learning. CoRR (2020)
Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov
Measuring and Reducing Gendered Correlations in Pre-trained Models. CoRR (2020)
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed Chi
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) (2020)
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
Fairness in Recommendation Ranking through Pairwise Comparisons. KDD (2019)
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. AIES (2019)
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
Fairness in Recommendation Ranking through Pairwise Comparisons. CoRR (2019)
Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel
Toward a better trade-off between performance and fairness with kernel-based distribution matching. CoRR (2019)
Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
Recommending what video to watch next: a multitask ranking system. RecSys (2019)
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. CoRR (2019)
Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi
Transfer of Machine Learning Fairness across Domains. CoRR (2019)
Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. CoRR (2019)
Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI (2019)
Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi
Categorical-attributes-based item classification for recommender systems. RecSys (2018)
Amy X. Zhang, Jilin Chen, Wei Chai, Jinjun Xu, Lichan Hong, Ed H. Chi
Evaluation and Refinement of Clustered Search Results with the Crowd. ACM Trans. Interact. Intell. Syst. 8 (2) (2018)
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD (2018)
Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR (2017)
Ryan Compton, Jilin Chen, Eben M. Haber, Hernan Badenes, Steve Whittaker
'Just the Facts: ' Exploring the Relationship Between Emotional Language and Member Satisfaction in Enterprise Online Communities. ICWSM (2017)
Yuqing Ren, Jilin Chen, John Riedl
The Impact and Evolution of Group Diversity in Online Open Collaboration. Manag. Sci. 62 (6) (2016)
Jacob Thebault-Spieker, Angbang Xu, Jilin Chen, Jalal Mahmud, Jeffrey Nichols
Exploring Engagement in a 'Social Crowd' on Twitter. CSCW Companion (2016)
Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi
Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. WWW (Companion Volume) (2015)
Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols
Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information. ACM Trans. Intell. Syst. Technol. 6 (3) (2015)
Jilin Chen, Eben M. Haber, Ruogu Kang, Gary Hsieh, Jalal Mahmud
Making Use of Derived Personality: The Case of Social Media Ad Targeting. ICWSM (2015)
Tara Matthews, Jalal U. Mahmud, Jilin Chen, Michael J. Muller, Eben M. Haber, Hernan Badenes
They Said What?: Exploring the Relationship Between Language Use and Member Satisfaction in Communities. CSCW (2015)
Richard P. Gabriel, Jilin Chen, Jeffrey Nichols
InkWell: A Creative Writer's Creative Assistant. Creativity & Cognition (2015)
Haiyi Zhu, Jilin Chen, Tara Matthews, Aditya Pal, Hernan Badenes, Robert E. Kraut
Selecting an effective niche: an ecological view of the success of online communities. CHI (2014)
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
System U: automatically deriving personality traits from social media for people recommendation. RecSys (2014)
Tara Matthews, Jilin Chen, Steve Whittaker, Aditya Pal, Haiyi Zhu, Hernan Badenes, Barton A. Smith
Goals and perceived success of online enterprise communities: what is important to leaders & members? CHI (2014)
Jalal Mahmud, Jilin Chen, Jeffrey Nichols
Why Are You More Engaged? Predicting Social Engagement from Word Use. CoRR (2014)
N. Sadat Shami, Jeffrey Nichols, Jilin Chen
Social media participation and performance at work: a longitudinal study. CHI (2014)
Huiji Gao, Jalal Mahmud, Jilin Chen, Jeffrey Nichols, Michelle X. Zhou
Modeling User Attitude toward Controversial Topics in Online Social Media. ICWSM (2014)
Gary Hsieh, Jilin Chen, Jalal Mahmud, Jeffrey Nichols
You read what you value: understanding personal values and reading interests. CHI (2014)
Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols
Who Will Retweet This? Automatically Identifying and Engaging Strangers on Twitter to Spread Information. CoRR (2014)
Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols
Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information. IUI (2014)
Jilin Chen, Gary Hsieh, Jalal Mahmud, Jeffrey Nichols
Understanding individuals' personal values from social media word use. CSCW (2014)
Anbang Xu, Jilin Chen, Tara Matthews, Michael J. Muller, Hernan Badenes
CommunityCompare: visually comparing communities for online community leaders in the enterprise. CHI (2013)
Jalal Mahmud, Jilin Chen, Jeffrey Nichols
When Will You Answer This? Estimating Response Time in Twitter. ICWSM (2013)
Jilin Chen, Allen Cypher, Clemens Drews, Jeffrey Nichols
CrowdE: Filtering Tweets for Direct Customer Engagements. ICWSM (2013)
Loxley Sijia Wang, Jilin Chen, Yuqing Ren, John Riedl
Searching for the goldilocks zone: trade-offs in managing online volunteer groups. CSCW (2012)
Jilin Chen, Peter Pirolli
Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street. ICWSM (2012)
Jilin Chen, Rowan Nairn, Ed Huai-hsin Chi
Speak little and well: recommending conversations in online social streams. CHI (2011)
Jilin Chen, Yuqing Ren, John Riedl
The effects of diversity on group productivity and member withdrawal in online volunteer groups. CHI (2010)
Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi
Short and tweet: experiments on recommending content from information streams. CHI (2010)
Jilin Chen, Joseph A. Konstan
Conference paper selectivity and impact. Commun. ACM 53 (6) (2010)
Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi
Eddi: interactive topic-based browsing of social status streams. UIST (2010)
Jilin Chen, Werner Geyer, Casey Dugan, Michael J. Muller, Ido Guy
Make new friends, but keep the old: recommending people on social networking sites. CHI (2009)
Xian Wu, Jilin Chen
Existence theorems of periodic solutions for a class of damped vibration problems. Appl. Math. Comput. 207 (1) (2009)
Nishikant Kapoor, Jilin Chen, John T. Butler, Gary C. Fouty, James A. Stemper, John Riedl, Joseph A. Konstan
Techlens: a researcher's desktop. RecSys (2007)
Reid Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loren G. Terveen, John Riedl
Creating, destroying, and restoring value in wikipedia. GROUP (2007)
Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen
Diverse Topic Phrase Extraction through Latent Semantic Analysis. ICDM (2006)