Diverse Topic Phrase Extraction through Latent Semantic Analysis. - Jilin Chen; Jun Yan 001; Benyu Zhang; Qiang Yang 001; Zheng Chen 001 (ICDM, 2006)

Creating, destroying, and restoring value in wikipedia. - Reid Priedhorsky; Jilin Chen; Shyong K. Lam; Katherine A. Panciera; Loren G. Terveen; John Riedl (GROUP, 2007)

Techlens: a researcher's desktop. - Nishikant Kapoor; Jilin Chen; John T. Butler; Gary C. Fouty; James A. Stemper; John Riedl; Joseph A. Konstan (RecSys, 2007)

Make new friends, but keep the old: recommending people on social networking sites. - Jilin Chen; Werner Geyer; Casey Dugan; Michael J. Muller; Ido Guy (CHI, 2009)

Existence theorems of periodic solutions for a class of damped vibration problems. - Xian Wu 002; Jilin Chen (Appl. Math. Comput., 2009)

Short and tweet: experiments on recommending content from information streams. - Jilin Chen; Rowan Nairn; Les Nelson; Michael S. Bernstein; Ed H. Chi (CHI, 2010)

The effects of diversity on group productivity and member withdrawal in online volunteer groups. - Jilin Chen; Yuqing Ren; John Riedl (CHI, 2010)

Eddi: interactive topic-based browsing of social status streams. - Michael S. Bernstein; Bongwon Suh; Lichan Hong; Jilin Chen; Sanjay Kairam; Ed H. Chi (UIST, 2010)

Conference paper selectivity and impact. - Jilin Chen; Joseph A. Konstan (Commun. ACM, 2010)

Speak little and well: recommending conversations in online social streams. - Jilin Chen; Rowan Nairn; Ed Huai-hsin Chi (CHI, 2011)

Searching for the goldilocks zone: trade-offs in managing online volunteer groups. - Loxley Sijia Wang; Jilin Chen; Yuqing Ren; John Riedl (CSCW, 2012)

Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street. - Jilin Chen; Peter Pirolli (ICWSM, 2012)

CommunityCompare: visually comparing communities for online community leaders in the enterprise. - Anbang Xu; Jilin Chen; Tara Matthews; Michael J. Muller; Hernan Badenes (CHI, 2013)

CrowdE: Filtering Tweets for Direct Customer Engagements. - Jilin Chen; Allen Cypher; Clemens Drews; Jeffrey Nichols 001 (ICWSM, 2013)

When Will You Answer This? Estimating Response Time in Twitter. - Jalal Mahmud; Jilin Chen; Jeffrey Nichols 001 (ICWSM, 2013)

You read what you value: understanding personal values and reading interests. - Gary Hsieh; Jilin Chen; Jalal Mahmud; Jeffrey Nichols 001 (CHI, 2014)

Goals and perceived success of online enterprise communities: what is important to leaders & members? - Tara Matthews; Jilin Chen; Steve Whittaker 001; Aditya Pal; Haiyi Zhu; Hernan Badenes; Barton A. Smith (CHI, 2014)

Social media participation and performance at work: a longitudinal study. - N. Sadat Shami; Jeffrey Nichols 001; Jilin Chen (CHI, 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 (CHI, 2014)

Understanding individuals' personal values from social media word use. - Jilin Chen; Gary Hsieh; Jalal Mahmud; Jeffrey Nichols 001 (CSCW, 2014)

Modeling User Attitude toward Controversial Topics in Online Social Media. - Huiji Gao; Jalal Mahmud; Jilin Chen; Jeffrey Nichols 001; Michelle X. Zhou (ICWSM, 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 001 (IUI, 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; et al. (RecSys, 2014)

Why Are You More Engaged? Predicting Social Engagement from Word Use. - Jalal Mahmud; Jilin Chen; Jeffrey Nichols 001 (CoRR, 2014)

InkWell: A Creative Writer's Creative Assistant. - Richard P. Gabriel; Jilin Chen; Jeffrey Nichols 001 (Creativity & Cognition, 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 (CSCW, 2015)

Making Use of Derived Personality: The Case of Social Media Ad Targeting. - Jilin Chen; Eben M. Haber; Ruogu Kang; Gary Hsieh; Jalal Mahmud (ICWSM, 2015)

Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. - Shuo Chang; Peng Dai 001; Jilin Chen; Ed Huai-hsin Chi (WWW (Companion Volume), 2015)

Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information. - Kyumin Lee; Jalal Mahmud; Jilin Chen; Michelle X. Zhou; Jeffrey Nichols 001 (ACM Trans. Intell. Syst. Technol., 2015)

Exploring Engagement in a 'Social Crowd' on Twitter. - Jacob Thebault-Spieker; Angbang Xu; Jilin Chen; Jalal Mahmud; Jeffrey Nichols 001 (CSCW Companion, 2016)

The Impact and Evolution of Group Diversity in Online Open Collaboration. - Yuqing Ren; Jilin Chen; John Riedl (Manag. Sci., 2016)

'Just the Facts: ' Exploring the Relationship Between Emotional Language and Member Satisfaction in Enterprise Online Communities. - Ryan Compton 002; Jilin Chen; Eben M. Haber; Hernan Badenes; Steve Whittaker 001 (ICWSM, 2017)

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. - Alex Beutel; Jilin Chen; Zhe Zhao 001; Ed H. Chi (CoRR, 2017)

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. - Jiaqi Ma 001; Zhe Zhao 001; Xinyang Yi; Jilin Chen; Lichan Hong; Ed H. Chi (KDD, 2018)

Categorical-attributes-based item classification for recommender systems. - Qian Zhao; Jilin Chen; Minmin Chen; Sagar Jain; Alex Beutel; Francois Belletti; Ed H. Chi (RecSys, 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)

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. - Jiaqi Ma 001; Zhe Zhao 001; Jilin Chen; Ang Li; Lichan Hong; Ed H. Chi (AAAI, 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 (AIES, 2019)

Fairness in Recommendation Ranking through Pairwise Comparisons. - Alex Beutel; Jilin Chen; Tulsee Doshi; Hai Qian; Li Wei; Yi Wu; Lukasz Heldt; Zhe Zhao 001; Lichan Hong; Ed H. Chi; Cristos Goodrow (KDD, 2019)

Recommending what video to watch next: a multitask ranking system. - Zhe Zhao 001; Lichan Hong; Li Wei; Jilin Chen; Aniruddh Nath; Shawn Andrews; Aditee Kumthekar; Maheswaran Sathiamoorthy; Xinyang Yi; Ed H. Chi (RecSys, 2019)

Transfer of Machine Learning Fairness across Domains. - Candice Schumann; Xuezhi Wang 002; Alex Beutel; Jilin Chen; Hai Qian; Ed H. Chi (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)

Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. - Xuezhi Wang 002; Nithum Thain; Anu Sinha; Ed H. Chi; Jilin Chen; Alex Beutel (CoRR, 2019)

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. - Tianlu Wang; Xuezhi Wang 002; Yao Qin 001; Ben Packer; Kang Li; Jilin Chen; Alex Beutel; Ed H. Chi (EMNLP (1), 2020)

Fairness without Demographics through Adversarially Reweighted Learning. - Preethi Lahoti; Alex Beutel; Jilin Chen; Kang Lee; Flavien Prost; Nithum Thain; Xuezhi Wang 002; Ed H. Chi (NeurIPS, 2020)

Measuring and Reducing Gendered Correlations in Pre-trained Models. - Kellie Webster; Xuezhi Wang 002; Ian Tenney; Alex Beutel; Emily Pitler; Ellie Pavlick; Jilin Chen; Slav Petrov (CoRR, 2020)

Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. - Flavien Prost; Pranjal Awasthi; Nick Blumm; Aditee Kumthekar; Trevor Potter; Li Wei; Xuezhi Wang 002; Ed H. Chi; Jilin Chen; Alex Beutel (AIES, 2021)

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. - Yuyan Wang; Xuezhi Wang 002; Alex Beutel; Flavien Prost; Jilin Chen; Ed H. Chi (KDD, 2021)

Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. - Xuezhi Wang 002; Nithum Thain; Anu Sinha; Flavien Prost; Ed H. Chi; Jilin Chen; Alex Beutel (WSDM, 2021)

Measuring Recommender System Effects with Simulated Users. - Sirui Yao; Yoni Halpern; Nithum Thain; Xuezhi Wang 002; Kang Lee; Flavien Prost; Ed H. Chi; Jilin Chen; Alex Beutel (CoRR, 2021)

A human-ML collaboration framework for improving video content reviews. - Meghana Deodhar; Xiao Ma 010; Yixin Cai; Alex Koes; Alex Beutel; Jilin Chen (CIKM Workshops, 2022)

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. - Jieyu Zhao 001; Xuezhi Wang 002; Yao Qin 001; Jilin Chen; Kai-Wei Chang (EMNLP (Findings), 2022)

A Physical Encryption Scheme for OTFS System. - Jilin Chen; Xinjin Lu; Wei Li 074; Ying Huang; Yanqun Tang; Yue Ma (ICCT, 2022)

Flexible text generation for counterfactual fairness probing. - Zee Fryer; Vera Axelrod; Ben Packer; Alex Beutel; Jilin Chen; Kellie Webster (CoRR, 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)

A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. - Amanda Baughan; Xuezhi Wang 002; Ariel Liu; Allison Mercurio; Jilin Chen; Xiao Ma 010 (CHI, 2023)

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. - Ananth Balashankar; Xuezhi Wang 002; Yao Qin 001; Ben Packer; Nithum Thain; Ed H. Chi; Jilin Chen; Alex Beutel (EMNLP (Findings), 2023)

Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. - Preethi Lahoti; Nicholas Blumm; Xiao Ma 010; Raghavendra Kotikalapudi; Sahitya Potluri; Qijun Tan; Hansa Srinivasan; Ben Packer; Ahmad Beirami; Alex Beutel; Jilin Chen (EMNLP, 2023)

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. - Ananth Balashankar; Xuezhi Wang 002; Yao Qin 001; Ben Packer; Nithum Thain; Jilin Chen; Ed H. Chi; Alex Beutel (CoRR, 2023)

Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. - Xiao Ma 010; Swaroop Mishra; Ahmad Beirami; Alex Beutel; Jilin Chen (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)

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. - Ananth Balashankar; Xiao Ma 010; Aradhana Sinha; Ahmad Beirami; Yao Qin 001; Jilin Chen; Alex Beutel (CoRR, 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; et al. (CoRR, 2023)

Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. - Xiao Ma 010; Swaroop Mishra; Ariel Liu; Sophie Ying Su; Jilin Chen; Chinmay Kulkarni 001; Heng-Tze Cheng; Quoc V. Le; Ed H. Chi (CHI Extended Abstracts, 2024)

Improved YOLOv8 for Small Object Detection. - Huafeng Xue; Jilin Chen; Ruichun Tang (CNIOT, 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 (FAccT, 2024)

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. - Han Zhou 010; Xingchen Wan; Lev Proleev; Diana Mincu; Jilin Chen; Katherine A. Heller; Subhrajit Roy (ICLR, 2024)

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; et al. (ICML, 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; et al. (CoRR, 2024)

Holistic Safety and Responsibility Evaluations of Advanced AI Models. - 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; et al. (CoRR, 2024)

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. - Aradhana Sinha; Ananth Balashankar; Ahmad Beirami; Thi Avrahami; Jilin Chen; Alex Beutel (Trans. Mach. Learn. Res., 2024)