Out of One, Many: Using Language Models to Simulate Human Samples von Argyle, Lisa P., Busby, Ethan C., Fulda, Nancy, Gubler, Joshua R., Rytting, Christopher, Wingate, David

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Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale von Argyle, Lisa P., Bail, Christopher A., Busby, Ethan C., Gubler, Joshua R., Howe, Thomas, Rytting, Christopher, Sorensen, Taylor, Wingate, David

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Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning von Rytting, Christopher Michael, Wingate, David

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Leveraging Large Language Models for Multiple Choice Question Answering von Robinson, Joshua, Rytting, Christopher Michael, Wingate, David

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IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction von Lin, Inna Wanyin, Sharma, Ashish, Rytting, Christopher Michael, Miner, Adam S, Suh, Jina, Althoff, Tim

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Towards Coding Social Science Datasets with Language Models von Rytting, Christopher Michael, Sorensen, Taylor, Argyle, Lisa, Busby, Ethan, Fulda, Nancy, Gubler, Joshua, Wingate, David

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AI Chat Assistants can Improve Conversations about Divisive Topics von Argyle, Lisa P, Busby, Ethan, Gubler, Joshua, Bail, Chris, Howe, Thomas, Rytting, Christopher, Wingate, David

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Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning von Rytting, Christopher Michael, Wingate, David

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Out of One, Many: Using Language Models to Simulate Human Samples von Argyle, Lisa P, Busby, Ethan C, Fulda, Nancy, Gubler, Joshua, Rytting, Christopher, Wingate, David

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Leveraging Large Language Models for Multiple Choice Question Answering von Robinson, Joshua, Rytting, Christopher Michael, Wingate, David

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A Roadmap to Pluralistic Alignment von Sorensen, Taylor, Moore, Jared, Fisher, Jillian, Gordon, Mitchell, Mireshghallah, Niloofar, Rytting, Christopher Michael, Ye, Andre, Jiang, Liwei, Lu, Ximing, Dziri, Nouha, Althoff, Tim, Choi, Yejin

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An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels von Sorensen, Taylor, Robinson, Joshua, Rytting, Christopher Michael, Shaw, Alexander Glenn, Rogers, Kyle Jeffrey, Delorey, Alexia Pauline, Khalil, Mahmoud, Fulda, Nancy, Wingate, David

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IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction von Lin, Inna Wanyin, Sharma, Ashish, Rytting, Christopher Michael, Miner, Adam S, Suh, Jina, Althoff, Tim

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AI Chat Assistants can Improve Conversations about Divisive Topics von Argyle, Lisa P, Busby, Ethan, Gubler, Joshua, Bail, Chris, Howe, Thomas, Rytting, Christopher, Wingate, David

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Towards Coding Social Science Datasets with Language Models von Rytting, Christopher Michael, Sorensen, Taylor, Argyle, Lisa, Busby, Ethan, Fulda, Nancy, Gubler, Joshua, Wingate, David

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A Roadmap to Pluralistic Alignment von Sorensen, Taylor, Moore, Jared, Fisher, Jillian, Mitchell, Gordon, Mireshghallah, Niloofar, Rytting, Christopher Michael, Ye, Andre, Jiang, Liwei, Lu, Ximing, Dziri, Nouha, Althoff, Tim, Choi, Yejin

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Replication Data for: "Out of One, Many: Using Language Models to Simulate Human Samples" von Argyle, Lisa P., Busby, Ethan C., Fulda, Nancy, Gubler, Joshua R., Rytting, Christopher, Wingate, David

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Preserving Subsegmental Variation in Modeling Word Segmentation (or, the Raising of Baby Mondegreen) von (Review of: Rytting, Christopher Anton)

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Arabic consonant length perception depends on the relative speech rate of the distal context von Heffner, Christopher C, Al-Thowaini, Buthainah M, Rytting, C Anton

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Malignancy‐associated hemophagocytic lymphohistiocytosis in adults: Relation to hemophagocytosis, characteristics, and outcomes von Tamamyan, Gevorg N., Kantarjian, Hagop M., Ning, Jing, Jain, Preetesh, Sasaki, Koji, McClain, Kenneth L., Allen, Carl E., Pierce, Sherry A., Cortes, Jorge E., Ravandi, Farhad, Konopleva, Marina Y., Garcia‐Manero, Guillermo, Benton, Christopher B., Chihara, Dai, Rytting, Michael E., Wang, Sa, Abdelall, Waleed, Konoplev, Sergej N., Daver, Naval G.

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