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ORCIDChristopher Michael Rytting
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2020 – today
- 2024
[c4]Inna W. Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff:
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. ACL (1) 2024: 810-840- [c3]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
Position: A Roadmap to Pluralistic Alignment. ICML 2024 - [i8]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
A Roadmap to Pluralistic Alignment. CoRR abs/2402.05070 (2024) - [i7]Inna Wanyin Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff:
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. CoRR abs/2402.12556 (2024) - 2023
- [i6]Lisa P. Argyle, Ethan C. Busby, Joshua Gubler, Chris Bail, Thomas Howe, Christopher Michael Rytting, David Wingate:
AI Chat Assistants can Improve Conversations about Divisive Topics. CoRR abs/2302.07268 (2023) - [i5]Christopher Michael Rytting, Taylor Sorensen, Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua Gubler, David Wingate:
Towards Coding Social Science Datasets with Language Models. CoRR abs/2306.02177 (2023) - 2022
- [c2]Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate:
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. ACL (1) 2022: 819-862 - [i4]Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate:
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels. CoRR abs/2203.11364 (2022) - [i3]Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua Gubler, Christopher Michael Rytting, David Wingate:
Out of One, Many: Using Language Models to Simulate Human Samples. CoRR abs/2209.06899 (2022) - [i2]Joshua Robinson, Christopher Michael Rytting, David Wingate:
Leveraging Large Language Models for Multiple Choice Question Answering. CoRR abs/2210.12353 (2022) - 2021
- [c1]Christopher Michael Rytting, David Wingate:
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning. NeurIPS 2021: 17111-17122 - [i1]Christopher Michael Rytting, David Wingate:
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning. CoRR abs/2110.02370 (2021)
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