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2020 – today
- 2024
- [j6]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) - [c49]Xiao Ma
, Swaroop Mishra
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CHI Extended Abstracts 2024: 56:1-56:12 - [c48]Huafeng Xue
Improved YOLOv8 for Small Object Detection. CNIOT 2024 - [c47]Hansa Srinivasan
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. FAccT 2024: 797-821 - [c46]Han Zhou
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR 2024 - [c45]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. ICML 2024 - [i32]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 abs/2401.14322 (2024) - [i31]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 abs/2403.05530 (2024) - [i30]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 abs/2404.14068 (2024) - 2023
- [c44]Amanda Baughan
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. CHI 2023: 7:1-7:16 - [c43]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: 127-139 - [c42]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: 10383-10405 - [i29]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 abs/2303.00164 (2023) - [i28]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 abs/2305.13535 (2023) - [i27]Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen:
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. CoRR abs/2306.14308 (2023) - [i26]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 abs/2307.05728 (2023) - [i25]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 abs/2309.17249 (2023) - [i24]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 abs/2310.16523 (2023) - [i23]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 abs/2310.16955 (2023) - [i22]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 abs/2310.16959 (2023) - [i21]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 abs/2310.17022 (2023) - [i20]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. CoRR abs/2312.00763 (2023) - [i19]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 abs/2312.11805 (2023) - 2022
- [c41]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 - [c40]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) 2022: 1634-1640 - [c39]Jilin Chen, Xinjin Lu, Wei Li, Ying Huang, Yanqun Tang, Yue Ma:
A Physical Encryption Scheme for OTFS System. ICCT 2022: 921-926 - [i18]Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster:
Flexible text generation for counterfactual fairness probing. CoRR abs/2206.13757 (2022) - [i17]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 abs/2210.07755 (2022) - [i16]Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen:
A Human-ML Collaboration Framework for Improving Video Content Reviews. CoRR abs/2210.09500 (2022) - [i15]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. CoRR abs/2210.16298 (2022) - 2021
- [c38]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: 873-883 - [c37]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: 1748-1757 - [c36]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: 436-444 - [i14]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 abs/2101.04526 (2021) - [i13]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 abs/2105.09985 (2021) - [i12]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 abs/2106.02705 (2021) - 2020
- [c35]Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi:
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) 2020: 5141-5146 - [c34]Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi:
Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS 2020 - [i11]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 abs/2006.13114 (2020) - [i10]Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi:
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR abs/2010.02338 (2020) - [i9]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 abs/2010.06032 (2020)
2010 – 2019
- 2019
- [c33]Jiaqi Ma
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI 2019: 216-223 - [c32]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: 453-459 - [c31]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: 2212-2220 - [c30]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: 43-51 - [i8]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 abs/1901.04562 (2019) - [i7]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 abs/1903.00780 (2019) - [i6]Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi:
Transfer of Machine Learning Fairness across Domains. CoRR abs/1906.09688 (2019) - [i5]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 abs/1910.11779 (2019) - [i4]Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel:
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. CoRR abs/1911.01916 (2019) - 2018
- [j5]Amy X. Zhang
Evaluation and Refinement of Clustered Search Results with the Crowd. ACM Trans. Interact. Intell. Syst. 8(2): 14:1-14:28 (2018) - [c29]Jiaqi Ma
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD 2018: 1930-1939 - [c28]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: 320-328 - 2017
- [c27]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: 500-503 - [i3]Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi:
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR abs/1707.00075 (2017) - 2016
- [j4]Yuqing Ren, Jilin Chen, John Riedl:
The Impact and Evolution of Group Diversity in Online Open Collaboration. Manag. Sci. 62(6): 1668-1686 (2016) - [c26]Jacob Thebault-Spieker
Exploring Engagement in a 'Social Crowd' on Twitter. CSCW Companion 2016: 417-420 - 2015
- [j3]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): 31:1-31:25 (2015) - [c25]Richard P. Gabriel, Jilin Chen, Jeffrey Nichols:
InkWell: A Creative Writer's Creative Assistant. Creativity & Cognition 2015: 93-102 - [c24]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: 819-825 - [c23]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: 51-60 - [c22]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: 397-406 - 2014
- [c21]N. Sadat Shami, Jeffrey Nichols, Jilin Chen:
Social media participation and performance at work: a longitudinal study. CHI 2014: 115-118 - [c20]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: 291-300 - [c19]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: 301-310 - [c18]Gary Hsieh, Jilin Chen, Jalal Mahmud, Jeffrey Nichols:
You read what you value: understanding personal values and reading interests. CHI 2014: 983-986 - [c17]Jilin Chen, Gary Hsieh, Jalal Mahmud, Jeffrey Nichols:
Understanding individuals' personal values from social media word use. CSCW 2014: 405-414 - [c16]Huiji Gao, Jalal Mahmud, Jilin Chen, Jeffrey Nichols, Michelle X. Zhou:
Modeling User Attitude toward Controversial Topics in Online Social Media. ICWSM 2014 - [c15]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: 247-256 - [c14]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: 373-374 - [i2]Jalal Mahmud, Jilin Chen, Jeffrey Nichols:
Why Are You More Engaged? Predicting Social Engagement from Word Use. CoRR abs/1402.6690 (2014) - [i1]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 abs/1405.3750 (2014) - 2013
- [c13]Anbang Xu, Jilin Chen, Tara Matthews, Michael J. Muller, Hernan Badenes:
CommunityCompare: visually comparing communities for online community leaders in the enterprise. CHI 2013: 523-532 - [c12]Jilin Chen, Allen Cypher, Clemens Drews, Jeffrey Nichols:
CrowdE: Filtering Tweets for Direct Customer Engagements. ICWSM 2013 - [c11]Jalal Mahmud, Jilin Chen, Jeffrey Nichols:
When Will You Answer This? Estimating Response Time in Twitter. ICWSM 2013 - 2012
- [c10]Loxley Sijia Wang, Jilin Chen, Yuqing Ren, John Riedl:
Searching for the goldilocks zone: trade-offs in managing online volunteer groups. CSCW 2012: 989-998 - [c9]Jilin Chen, Peter Pirolli:
Why You Are More Engaged: Factors Influencing Twitter Engagement in Occupy Wall Street. ICWSM 2012 - 2011
- [c8]Jilin Chen, Rowan Nairn, Ed Huai-hsin Chi:
Speak little and well: recommending conversations in online social streams. CHI 2011: 217-226 - 2010
- [j2]Jilin Chen, Joseph A. Konstan
Conference paper selectivity and impact. Commun. ACM 53(6): 79-83 (2010) - [c7]Jilin Chen, Yuqing Ren, John Riedl:
The effects of diversity on group productivity and member withdrawal in online volunteer groups. CHI 2010: 821-830 - [c6]Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi:
Short and tweet: experiments on recommending content from information streams. CHI 2010: 1185-1194 - [c5]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: 303-312
2000 – 2009
- 2009
- [j1]Xian Wu, Jilin Chen:
Existence theorems of periodic solutions for a class of damped vibration problems. Appl. Math. Comput. 207(1): 230-235 (2009) - [c4]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: 201-210 - 2007
- [c3]Reid Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loren G. Terveen, John Riedl:
Creating, destroying, and restoring value in wikipedia. GROUP 2007: 259-268 - [c2]Nishikant Kapoor, Jilin Chen, John T. Butler
Techlens: a researcher's desktop. RecSys 2007: 183-184 - 2006
- [c1]Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen:
Diverse Topic Phrase Extraction through Latent Semantic Analysis. ICDM 2006: 834-838
Coauthor Index
Ed H. Chi
aka: Ed Huai-hsin Chi
aka: Ed Huai-hsin Chi
Jalal Mahmud
aka: Jalal U. Mahmud
aka: Jalal U. Mahmud
Jeffrey Nichols 0001
aka: Jeffrey W. Nichols
aka: Jeffrey W. Nichols
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