Kristian Lum

33 papers A* 1A 2Misc 1Journal 18Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating Language Models for Harmful Manipulation.
CoRR
Canfer Akbulut, Rasmi Elasmar, Abhishek Roy, Anthony Payne, Priyanka Suresh, Lujain Ibrahim, Seliem El-Sayed, Charvi Rastogi, Ashyana Kachra, Will Hawkins, Kristian Lum, Laura Weidinger
2025 — conf
Bias in Language Models: Beyond Trick Tests and Towards RUTEd Evaluation.
ACL (1)
Kristian Lum, Jacy Reese Anthis, Kevin Robinson, Chirag Nagpal, Alexander Nicholas D'Amour
2025 — conf
The Impossibility of Fair LLMs.
ACL (1)
Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Chenhao Tan
2024 J jnl
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation.
CoRR
Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour
2024 J jnl
Reducing Population-level Inequality Can Improve Demographic Group Fairness: a Twitter Case Study.
CoRR
Avijit Ghosh, Tomo Lazovich, Kristian Lum, Christo Wilson
2024 A* conf
STAR: SocioTechnical Approach to Red Teaming Language Models.
EMNLP
Laura Weidinger, John Mellor, Bernat Guillen Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel Rodriguez, Verena Rieser, William Isaac
2024 J jnl
STAR: SocioTechnical Approach to Red Teaming Language Models.
CoRR
Laura Weidinger, John Mellor, Bernat Guillen Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel Rodriguez, Verena Rieser, William Isaac
2024 J jnl
The Impossibility of Fair LLMs.
CoRR
Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan
2024 — conf
The Intersectionality Problem for Algorithmic Fairness.
AFME
Johannes Himmelreich, Arbie Hsu, Ellen Veomett, Kristian Lum
2024 J jnl
The Intersectionality Problem for Algorithmic Fairness.
CoRR
Johannes Himmelreich, Arbie Hsu, Kristian Lum, Ellen Veomett
2023 — conf
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina.
FAccT
Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian
2023 J jnl
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.
Patterns
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
2022 J jnl
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline.
CoRR
Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt
2022 — conf
De-biasing "bias" measurement.
FAccT
Kristian Lum, Yunfeng Zhang, Amanda Bower
2022 J jnl
De-biasing "bias" measurement.
CoRR
Kristian Lum, Yunfeng Zhang, Amanda Bower
2022 — conf
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants.
FAccT
Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum
2022 J jnl
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants.
CoRR
Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum
2022 J jnl
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics.
CoRR
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
2022 J jnl
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina.
CoRR
Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler, Kristian Lum, Calvin Barrett
2022 J jnl
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics.
Patterns
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
2022 J jnl
Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems.
CoRR
Amanda Bower, Kristian Lum, Tomo Lazovich, Kyra Yee, Luca Belli
2021 — conf
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.
NeurIPS Datasets and Benchmarks
Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
2021 J jnl
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.
CoRR
Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian
2021 — conf
The 2021 RecSys Challenge Dataset: Fairness is not optional.
RecSys Challenge
Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi
2021 J jnl
The 2021 RecSys Challenge Dataset: Fairness is not optional.
CoRR
Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi
2020 — conf
The impact of overbooking on a pre-trial risk assessment tool.
FAT*
Kristian Lum, Chesa Boudin, Megan Price
2016 J jnl
A statistical framework for fair predictive algorithms.
CoRR
Kristian Lum, James E. Johndrow
2013 — conf
A Synthetic Information Approach to Urban-Scale Disaster Modeling.
CSE
Samarth Swarup, Kristian Lum, Christopher L. Barrett, Keith R. Bisset, Stephen G. Eubank, Madhav V. Marathe, Paula Elaine Stretz
2013 — conf
Activity based energy demand modeling for residential buildings.
ISGT
Rajesh Subbiah, Kristian Lum, Achla Marathe, Madhav V. Marathe
2013 A conf
Diagonal Orthant Multinomial Probit Models.
AISTATS
James E. Johndrow, David B. Dunson, Kristian Lum
2013 J jnl
Failure-Aware Cascaded Suppression in Wireless Sensor Networks.
IEEE Trans. Knowl. Data Eng.
Yi Zhang, Kristian Lum, Jun Yang
2013 A conf
Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation.
AAMAS
Nidhi Parikh, Samarth Swarup, Paula Elaine Stretz, Caitlin M. Rivers, Bryan L. Lewis, Madhav V. Marathe, Stephen G. Eubank, Christopher L. Barrett, Kristian Lum, Youngyun Chungbaek
2013 Misc conf
Planning and response in the aftermath of a large crisis: An agent-based informatics framework.
WSC
Christopher L. Barrett, Keith R. Bisset, Shridhar Chandan, Jiangzhuo Chen, Youngyun Chungbaek, Stephen G. Eubank, C. Yaman Evrenosoglu, Bryan L. Lewis, Kristian Lum, Achla Marathe, Madhav V. Marathe, Henning S. Mortveit, Nidhi Parikh, Arun G. Phadke, Jeffrey H. Reed, Caitlin M. Rivers, Sudip Saha, Paula Elaine Stretz, Samarth Swarup, James S. Thorp, Anil Vullikanti, Dawen Xie