Ian D. Kivlichan

According to our database, Ian D. Kivlichan authored at least 12 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reasoning Models Struggle to Control their Chains of Thought.

Yueh-Han Chen, Robert McCarthy, Bruce W. Lee, He He, Ian Kivlichan, Bowen Baker, Micah Carroll, Tomek Korbak

CoRR, March, 2026

2025

Monitoring Monitorability.

Melody Y. Guan, Miles Wang, Micah Carroll, Zehao Dou, Annie Y. Wei, Marcus Williams, Benjamin Arnav, Joost Huizinga, Ian Kivlichan, Mia Glaese, Jakub Pachocki, Bowen Baker

CoRR, December, 2025

2024

Rule Based Rewards for Language Model Safety.

Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity.

Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav

CoRR, 2023

Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities.

Senjuti Dutta, Sid Mittal, Sherol Chen, Deepak Ramachandran, Ravi Rajakumar, Ian Kivlichan, Sunny Mak, Alena Butryna, Praveen K. Paritosh

CoRR, 2023

2022

Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation.

Nitesh Goyal, Ian D. Kivlichan, Rachel Rosen, Lucy Vasserman

Proc. ACM Hum. Comput. Interact., 2022

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation.

Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.

Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen

CoRR, 2021

Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation.

Ian D. Kivlichan, Zi Lin, Jeremiah Z. Liu, Lucy Vasserman

CoRR, 2021

2020

Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization.

Ian D. Kivlichan, Craig Gidney, Dominic W. Berry, Nathan Wiebe, Jarrod R. McClean, Wei Sun, Zhang Jiang, Nicholas C. Rubin, Austin G. Fowler, Alán Aspuru-Guzik, Hartmut Neven, Ryan Babbush

Quantum, 2020

Jigsaw @ AMI and HaSpeeDe2: Fine-Tuning a Pre-Trained Comment-Domain BERT Model.

Alyssa Lees, Jeffrey Sorensen, Ian Kivlichan

Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020

2017

qTorch: The Quantum Tensor Contraction Handler.

E. Schuyler Fried, Nicolas P. D. Sawaya, Yudong Cao, Ian D. Kivlichan, Jhonathan Romero, Alán Aspuru-Guzik

CoRR, 2017