Jilin Chen - RankMe

87 papers A* 20A 15B 2C 2Journal 38Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI. CoRR Jitao Sang, Jinlin Xiao, Jiarun Han, Jilin Chen, Xiaoyi Chen, Shuyu Wei, Yongjie Sun, Yuhang Wang
2024	A*	`conf`	Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2024	—	`conf`	Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CHI Extended Abstracts Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi
2024	J	`jnl`	Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. Trans. Mach. Learn. Res. Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
2024	A*	`conf`	Controlled Decoding from Language Models. ICML 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
2024	J	`jnl`	Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR 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.
2024	—	`conf`	Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. FAccT Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen
2024	J	`jnl`	Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. CoRR Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen
2024	J	`jnl`	Holistic Safety and Responsibility Evaluations of Advanced AI Models. CoRR 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
2024	—	`conf`	Improved YOLOv8 for Small Object Detection. CNIOT Huafeng Xue, Jilin Chen, Ruichun Tang
2023	A*	`conf`	A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. CHI Amanda Baughan, Xuezhi Wang, Ariel Liu, Allison Mercurio, Jilin Chen, Xiao Ma
2023	J	`jnl`	A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. CoRR Amanda Baughan, Allison Mercurio, Ariel Liu, Xuezhi Wang, Jilin Chen, Xiao Ma
2023	J	`jnl`	Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
2023	J	`jnl`	Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CoRR Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi
2023	J	`jnl`	Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. CoRR Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
2023	J	`jnl`	Controlled Decoding from Language Models. CoRR 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
2023	J	`jnl`	Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
2023	—	`conf`	Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
2023	A*	`conf`	Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. EMNLP Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
2023	J	`jnl`	Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. CoRR Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, Jilin Chen
2023	J	`jnl`	Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. CoRR Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel
2023	J	`jnl`	Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. CoRR Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen
2023	J	`jnl`	Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification. CoRR James Atwood, Tina Tian, Ben Packer, Meghana Deodhar, Jilin Chen, Alex Beutel, Flavien Prost, Ahmad Beirami
2022	J	`jnl`	A Human-ML Collaboration Framework for Improving Video Content Reviews. CoRR Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen
2022	—	`conf`	A Physical Encryption Scheme for OTFS System. ICCT Jilin Chen, Xinjin Lu, Wei Li, Ying Huang, Yanqun Tang, Yue Ma
2022	—	`conf`	A human-ML collaboration framework for improving video content reviews. CIKM Workshops Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen
2022	J	`jnl`	Flexible text generation for counterfactual fairness probing. CoRR Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster
2022	—	`conf`	Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang
2022	J	`jnl`	Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. CoRR Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang
2022	J	`jnl`	Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations. CoRR 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
2021	C	`conf`	Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. AIES Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
2021	J	`jnl`	Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. CoRR Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
2021	J	`jnl`	Measuring Recommender System Effects with Simulated Users. CoRR Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
2021	A	`conf`	Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. WSDM Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
2021	A*	`conf`	Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. KDD Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi
2021	J	`jnl`	Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. CoRR Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi
2020	—	`conf`	CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020	J	`jnl`	CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020	A*	`conf`	Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
2020	J	`jnl`	Fairness without Demographics through Adversarially Reweighted Learning. CoRR Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
2020	J	`jnl`	Measuring and Reducing Gendered Correlations in Pre-trained Models. CoRR Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov
2019	A*	`conf`	Fairness in Recommendation Ranking through Pairwise Comparisons. KDD Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	J	`jnl`	Fairness in Recommendation Ranking through Pairwise Comparisons. CoRR Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	J	`jnl`	Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. CoRR Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel
2019	C	`conf`	Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. AIES Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
2019	J	`jnl`	Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. CoRR Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
2019	A	`conf`	Recommending what video to watch next: a multitask ranking system. RecSys Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
2019	A*	`conf`	SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
2019	J	`jnl`	Toward a better trade-off between performance and fairness with kernel-based distribution matching. CoRR Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel
2019	J	`jnl`	Transfer of Machine Learning Fairness across Domains. CoRR Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi
2018	A	`conf`	Categorical-attributes-based item classification for recommender systems. RecSys Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi
2018	J	`jnl`	Evaluation and Refinement of Clustered Search Results with the Crowd. ACM Trans. Interact. Intell. Syst. Amy X. Zhang, Jilin Chen, Wei Chai, Jinjun Xu, Lichan Hong, Ed H. Chi
2018	A*	`conf`	Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi
2017	A	`conf`	'Just the Facts: ' Exploring the Relationship Between Emotional Language and Member Satisfaction in Enterprise Online Communities. ICWSM Ryan Compton, Jilin Chen, Eben M. Haber, Hernan Badenes, Steve Whittaker
2017	J	`jnl`	Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi
2016	—	`conf`	Exploring Engagement in a 'Social Crowd' on Twitter. CSCW Companion Jacob Thebault-Spieker, Angbang Xu, Jilin Chen, Jalal Mahmud, Jeffrey Nichols
2016	J	`jnl`	The Impact and Evolution of Group Diversity in Online Open Collaboration. Manag. Sci. Yuqing Ren, Jilin Chen, John Riedl
2015	—	`conf`	Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. WWW (Companion Volume) Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi
2015	B	`conf`	InkWell: A Creative Writer's Creative Assistant. Creativity & Cognition Richard P. Gabriel, Jilin Chen, Jeffrey Nichols
2015	A	`conf`	Making Use of Derived Personality: The Case of Social Media Ad Targeting. ICWSM Jilin Chen, Eben M. Haber, Ruogu Kang, Gary Hsieh, Jalal Mahmud
2015	A	`conf`	They Said What?: Exploring the Relationship Between Language Use and Member Satisfaction in Communities. CSCW Tara Matthews, Jalal U. Mahmud, Jilin Chen, Michael J. Muller, Eben M. Haber, Hernan Badenes
2015	J	`jnl`	Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information. ACM Trans. Intell. Syst. Technol. Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols
2014	A*	`conf`	Goals and perceived success of online enterprise communities: what is important to leaders & members? CHI Tara Matthews, Jilin Chen, Steve Whittaker, Aditya Pal, Haiyi Zhu, Hernan Badenes, Barton A. Smith
2014	A	`conf`	Modeling User Attitude toward Controversial Topics in Online Social Media. ICWSM Huiji Gao, Jalal Mahmud, Jilin Chen, Jeffrey Nichols, Michelle X. Zhou
2014	A*	`conf`	Selecting an effective niche: an ecological view of the success of online communities. CHI Haiyi Zhu, Jilin Chen, Tara Matthews, Aditya Pal, Hernan Badenes, Robert E. Kraut
2014	A*	`conf`	Social media participation and performance at work: a longitudinal study. CHI N. Sadat Shami, Jeffrey Nichols, Jilin Chen
2014	A	`conf`	System U: automatically deriving personality traits from social media for people recommendation. RecSys 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
2014	A	`conf`	Understanding individuals' personal values from social media word use. CSCW Jilin Chen, Gary Hsieh, Jalal Mahmud, Jeffrey Nichols
2014	J	`jnl`	Who Will Retweet This? Automatically Identifying and Engaging Strangers on Twitter to Spread Information. CoRR Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols
2014	A	`conf`	Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information. IUI Kyumin Lee, Jalal Mahmud, Jilin Chen, Michelle X. Zhou, Jeffrey Nichols
2014	J	`jnl`	Why Are You More Engaged? Predicting Social Engagement from Word Use. CoRR Jalal Mahmud, Jilin Chen, Jeffrey Nichols
2014	A*	`conf`	You read what you value: understanding personal values and reading interests. CHI Gary Hsieh, Jilin Chen, Jalal Mahmud, Jeffrey Nichols
2013	A*	`conf`	CommunityCompare: visually comparing communities for online community leaders in the enterprise. CHI Anbang Xu, Jilin Chen, Tara Matthews, Michael J. Muller, Hernan Badenes
2013	A	`conf`	CrowdE: Filtering Tweets for Direct Customer Engagements. ICWSM Jilin Chen, Allen Cypher, Clemens Drews, Jeffrey Nichols
2013	A	`conf`	When Will You Answer This? Estimating Response Time in Twitter. ICWSM Jalal Mahmud, Jilin Chen, Jeffrey Nichols
2012	A	`conf`	Searching for the goldilocks zone: trade-offs in managing online volunteer groups. CSCW Loxley Sijia Wang, Jilin Chen, Yuqing Ren, John Riedl
2012	A	`conf`	Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street. ICWSM Jilin Chen, Peter Pirolli
2011	A*	`conf`	Speak little and well: recommending conversations in online social streams. CHI Jilin Chen, Rowan Nairn, Ed Huai-hsin Chi
2010	J	`jnl`	Conference paper selectivity and impact. Commun. ACM Jilin Chen, Joseph A. Konstan
2010	A*	`conf`	Eddi: interactive topic-based browsing of social status streams. UIST Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi
2010	A*	`conf`	Short and tweet: experiments on recommending content from information streams. CHI Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi
2010	A*	`conf`	The effects of diversity on group productivity and member withdrawal in online volunteer groups. CHI Jilin Chen, Yuqing Ren, John Riedl
2009	J	`jnl`	Existence theorems of periodic solutions for a class of damped vibration problems. Appl. Math. Comput. Xian Wu, Jilin Chen
2009	A*	`conf`	Make new friends, but keep the old: recommending people on social networking sites. CHI Jilin Chen, Werner Geyer, Casey Dugan, Michael J. Muller, Ido Guy
2007	B	`conf`	Creating, destroying, and restoring value in wikipedia. GROUP Reid Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loren G. Terveen, John Riedl
2007	A	`conf`	Techlens: a researcher's desktop. RecSys Nishikant Kapoor, Jilin Chen, John T. Butler, Gary C. Fouty, James A. Stemper, John Riedl, Joseph A. Konstan
2006	A*	`conf`	Diverse Topic Phrase Extraction through Latent Semantic Analysis. ICDM Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen