Holistic Evaluation of Language Models von Bommasani, Rishi, Liang, Percy, Lee, Tony

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Considerations for governing open foundation models von Bommasani, Rishi, Kapoor, Sayash, Klyman, Kevin, Longpre, Shayne, Ramaswami, Ashwin, Zhang, Daniel, Schaake, Marietje, Ho, Daniel E, Narayanan, Arvind, Liang, Percy

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Evaluation for Change von Bommasani, Rishi

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Generalized Optimal Linear Orders von Bommasani, Rishi

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Trustworthy Social Bias Measurement von Bommasani, Rishi, Liang, Percy

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Evaluation for Change von Bommasani, Rishi

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Trustworthy Social Bias Measurement von Bommasani, Rishi, Liang, Percy

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Effective Mitigations for Systemic Risks from General-Purpose AI von Uuk, Risto, Brouwer, Annemieke, Schreier, Tim, Dreksler, Noemi, Pulignano, Valeria, Bommasani, Rishi

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Language model developers should report train-test overlap von Zhang, Andy K, Klyman, Kevin, Mai, Yifan, Levine, Yoav, Zhang, Yian, Bommasani, Rishi, Liang, Percy

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The Foundation Model Transparency Index v1.1: May 2024 von Bommasani, Rishi, Klyman, Kevin, Kapoor, Sayash, Longpre, Shayne, Xiong, Betty, Maslej, Nestor, Liang, Percy

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Foundation Model Transparency Reports von Bommasani, Rishi, Klyman, Kevin, Longpre, Shayne, Xiong, Betty, Kapoor, Sayash, Maslej, Nestor, Narayanan, Arvind, Liang, Percy

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The Foundation Model Transparency Index von Bommasani, Rishi, Klyman, Kevin, Longpre, Shayne, Kapoor, Sayash, Maslej, Nestor, Xiong, Betty, Zhang, Daniel, Liang, Percy

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Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes von Toups, Connor, Bommasani, Rishi, Creel, Kathleen A, Bana, Sarah H, Jurafsky, Dan, Liang, Percy

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Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs von Narayanan, Deepak, Santhanam, Keshav, Henderson, Peter, Bommasani, Rishi, Lee, Tony, Liang, Percy

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Ecosystem Graphs: The Social Footprint of Foundation Models von Bommasani, Rishi, Soylu, Dilara, Liao, Thomas I, Creel, Kathleen A, Liang, Percy

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The Reality of AI and Biorisk von Peppin, Aidan, Reuel, Anka, Casper, Stephen, Jones, Elliot, Strait, Andrew, Anwar, Usman, Agrawal, Anurag, Kapoor, Sayash, Koyejo, Sanmi, Pellat, Marie, Bommasani, Rishi, Frosst, Nick, Hooker, Sara

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Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? von Bommasani, Rishi, Creel, Kathleen A, Kumar, Ananya, Jurafsky, Dan, Liang, Percy

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The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources von Longpre, Shayne, Biderman, Stella, Albalak, Alon, Schoelkopf, Hailey, McDuff, Daniel, Kapoor, Sayash, Klyman, Kevin, Lo, Kyle, Ilharco, Gabriel, San, Nay, Rauh, Maribeth, Skowron, Aviya, Vidgen, Bertie, Weidinger, Laura, Narayanan, Arvind, Sanh, Victor, Adelani, David, Liang, Percy, Bommasani, Rishi, Henderson, Peter, Luccioni, Sasha, Jernite, Yacine, Soldaini, Luca

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Effective Mitigations for Systemic Risks from General-Purpose AI von Uuk, Risto, Brouwer, Annemieke, Schreier, Tim, Dreksler, Noemi, Pulignano, Valeria, Bommasani, Rishi

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Language model developers should report train-test overlap von Zhang, Andy K, Klyman, Kevin, Mai, Yifan, Levine, Yoav, Zhang, Yian, Bommasani, Rishi, Liang, Percy

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