A toolbox for surfacing health equity harms and biases in large language models von Pfohl, Stephen R., Cole-Lewis, Heather, Sayres, Rory, Neal, Darlene, Asiedu, Mercy, Dieng, Awa, Tomasev, Nenad, Rashid, Qazi Mamunur, Azizi, Shekoofeh, Rostamzadeh, Negar, McCoy, Liam G., Celi, Leo Anthony, Liu, Yun, Schaekermann, Mike, Walton, Alanna, Parrish, Alicia, Nagpal, Chirag, Singh, Preeti, Dewitt, Akeiylah, Mansfield, Philip, Prakash, Sushant, Heller, Katherine, Karthikesalingam, Alan, Semturs, Christopher, Barral, Joelle, Corrado, Greg, Matias, Yossi, Smith-Loud, Jamila, Horn, Ivor, Singhal, Karan

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RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs von Wu, Jiaxing, Ning, Lin, Liu, Luyang, Lee, Harrison, Wu, Neo, Wang, Chao, Prakash, Sushant, O'Banion, Shawn, Green, Bradley, Xie, Jun

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A Unified Approach to Entity-Centric Context Tracking in Social Conversations von Rückert, Ulrich, Sunkara, Srinivas, Rastogi, Abhinav, Prakash, Sushant, Khaitan, Pranav

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Learning Federated Representations and Recommendations with Limited Negatives von Ning, Lin, Singhal, Karan, Zhou, Ellie X, Prakash, Sushant

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User-LLM: Efficient LLM Contextualization with User Embeddings von Ning, Lin, Liu, Luyang, Wu, Jiaxing, Wu, Neo, Berlowitz, Devora, Prakash, Sushant, Green, Bradley, O'Banion, Shawn, Xie, Jun

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Universal Self-Consistency for Large Language Model Generation von Chen, Xinyun, Aksitov, Renat, Alon, Uri, Ren, Jie, Xiao, Kefan, Yin, Pengcheng, Prakash, Sushant, Sutton, Charles, Wang, Xuezhi, Zhou, Denny

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Augmentations vs Algorithms: What Works in Self-Supervised Learning von Morningstar, Warren, Bijamov, Alex, Duvarney, Chris, Friedman, Luke, Kalibhat, Neha, Liu, Luyang, Mansfield, Philip, Rojas-Gomez, Renan, Singhal, Karan, Green, Bradley, Prakash, Sushant

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ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent von Aksitov, Renat, Miryoosefi, Sobhan, Li, Zonglin, Li, Daliang, Babayan, Sheila, Kopparapu, Kavya, Fisher, Zachary, Guo, Ruiqi, Prakash, Sushant, Srinivasan, Pranesh, Zaheer, Manzil, Yu, Felix, Kumar, Sanjiv

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RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback von Lee, Harrison, Phatale, Samrat, Mansoor, Hassan, Mesnard, Thomas, Ferret, Johan, Lu, Kellie, Bishop, Colton, Hall, Ethan, Carbune, Victor, Rastogi, Abhinav, Prakash, Sushant

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Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions von Li, Yitong, Li, Dianqi, Prakash, Sushant, Wang, Peng

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Federated Reconstruction: Partially Local Federated Learning von Singhal, Karan, Sidahmed, Hakim, Garrett, Zachary, Wu, Shanshan, Rush, Keith, Prakash, Sushant

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A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models von Pfohl, Stephen R, Cole-Lewis, Heather, Sayres, Rory, Neal, Darlene, Asiedu, Mercy, Dieng, Awa, Tomasev, Nenad, Rashid, Qazi Mamunur, Azizi, Shekoofeh, Rostamzadeh, Negar, McCoy, Liam G, Celi, Leo Anthony, Liu, Yun, Schaekermann, Mike, Walton, Alanna, Parrish, Alicia, Nagpal, Chirag, Singh, Preeti, Dewitt, Akeiylah, Mansfield, Philip, Prakash, Sushant, Heller, Katherine, Karthikesalingam, Alan, Semturs, Christopher, Barral, Joelle, Corrado, Greg, Matias, Yossi, Smith-Loud, Jamila, Horn, Ivor, Singhal, Karan

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Towards Accurate Differential Diagnosis with Large Language Models von McDuff, Daniel, Schaekermann, Mike, Tu, Tao, Palepu, Anil, Wang, Amy, Garrison, Jake, Singhal, Karan, Sharma, Yash, Azizi, Shekoofeh, Kulkarni, Kavita, Hou, Le, Cheng, Yong, Liu, Yun, Mahdavi, S Sara, Prakash, Sushant, Pathak, Anupam, Semturs, Christopher, Patel, Shwetak, Webster, Dale R, Dominowska, Ewa, Gottweis, Juraj, Barral, Joelle, Chou, Katherine, Corrado, Greg S, Matias, Yossi, Sunshine, Jake, Karthikesalingam, Alan, Natarajan, Vivek

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A Unified Approach to Entity-Centric Context Tracking in Social Conversations von Rückert, Ulrich, Sunkara, Srinivas, Rastogi, Abhinav, Prakash, Sushant, Khaitan, Pranav

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User-LLM: Efficient LLM Contextualization with User Embeddings von Lin, Ning, Liu, Luyang, Wu, Jiaxing, Wu, Neo, Berlowitz, Devora, Prakash, Sushant, Green, Bradley, O'Banion, Shawn, Xie, Jun

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Towards Expert-Level Medical Question Answering with Large Language Models von Singhal, Karan, Tu, Tao, Gottweis, Juraj, Sayres, Rory, Wulczyn, Ellery, Hou, Le, Clark, Kevin, Pfohl, Stephen, Cole-Lewis, Heather, Neal, Darlene, Schaekermann, Mike, Wang, Amy, Amin, Mohamed, Lachgar, Sami, Mansfield, Philip, Prakash, Sushant, Green, Bradley, Dominowska, Ewa, Arcas, Blaise Aguera y, Tomasev, Nenad, Liu, Yun, Wong, Renee, Semturs, Christopher, Mahdavi, S. Sara, Barral, Joelle, Webster, Dale, Corrado, Greg S, Matias, Yossi, Azizi, Shekoofeh, Karthikesalingam, Alan, Natarajan, Vivek

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Learning Federated Representations and Recommendations with Limited Negatives von Lin, Ning, Singhal, Karan, Zhou, Ellie X, Prakash, Sushant

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Towards Generalist Biomedical AI von Tu, Tao, Azizi, Shekoofeh, Driess, Danny, Schaekermann, Mike, Amin, Mohamed, Chang, Pi-Chuan, Carroll, Andrew, Lau, Chuck, Tanno, Ryutaro, Ktena, Ira, Mustafa, Basil, Chowdhery, Aakanksha, Liu, Yun, Kornblith, Simon, Fleet, David, Mansfield, Philip, Prakash, Sushant, Wong, Renee, Virmani, Sunny, Semturs, Christopher, Mahdavi, S Sara, Green, Bradley, Dominowska, Ewa, Arcas, Blaise Aguera y, Barral, Joelle, Webster, Dale, Corrado, Greg S, Matias, Yossi, Singhal, Karan, Florence, Pete, Karthikesalingam, Alan, Natarajan, Vivek

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RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback von Harrison, Lee, Phatale, Samrat, Hassan Mansoor, Mesnard, Thomas, Ferret, Johan, Lu, Kellie, Bishop, Colton, Hall, Ethan, Carbune, Victor, Rastogi, Abhinav, Prakash, Sushant

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Augmentations vs Algorithms: What Works in Self-Supervised Learning von Morningstar, Warren, Bijamov, Alex, Duvarney, Chris, Friedman, Luke, Kalibhat, Neha, Liu, Luyang, Mansfield, Philip, Rojas-Gomez, Renan, Singhal, Karan, Green, Bradley, Prakash, Sushant

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