Decomposed Prompting to Answer Questions on a Course Discussion Board von Jaipersaud, Brandon, Zhang, Paul, Ba, Jimmy, Petersen, Andrew, Zhang, Lisa, Zhang, Michael R.

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Agricultural pesticide use and food safety： California＇s model von Minghua Zhang Michael R Zeiss Shu Geng

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BEADs: Bias Evaluation Across Domains von Raza, Shaina, Rahman, Mizanur, Zhang, Michael R

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Decomposed Prompting to Answer Questions on a Course Discussion Board von Jaipersaud, Brandon, Zhang, Paul, Ba, Jimmy, Petersen, Andrew, Zhang, Lisa, Zhang, Michael R

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Unlearnable Algorithms for In-context Learning von Muresanu, Andrei, Thudi, Anvith, Zhang, Michael R, Papernot, Nicolas

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Expanding capabilities to evaluate readiness for return to duty after mTBI: The CAMP study protocol von Cecchini, Amy Seal, McCulloch, Karen, Harrison, Courtney, Favorov, Oleg, Davila, Maria, Zhang, Wanqing, Prim, Julianna, Krok, C D R Michael

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Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes von Pitis, Silviu, Zhang, Michael R

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Boosted Prompt Ensembles for Large Language Models von Pitis, Silviu, Zhang, Michael R, Wang, Andrew, Ba, Jimmy

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Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries von Yang, Blair, Cui, Fuyang, Paster, Keiran, Ba, Jimmy, Vaezipoor, Pashootan, Pitis, Silviu, Zhang, Michael R

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Using Large Language Models for Hyperparameter Optimization von Zhang, Michael R, Desai, Nishkrit, Bae, Juhan, Lorraine, Jonathan, Ba, Jimmy

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BEADs: Bias Evaluation Across Domains von Raza, Shaina, Rahman, Mizanur, Zhang, Michael R

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Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve von Bae, Juhan, Zhang, Michael R, Ruan, Michael, Wang, Eric, Hasegawa, So, Ba, Jimmy, Grosse, Roger

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Learning Domain Invariant Representations in Goal-conditioned Block MDPs von Han, Beining, Zheng, Chongyi, Chan, Harris, Paster, Keiran, Zhang, Michael R, Ba, Jimmy

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Unlearnable Algorithms for In-context Learning von Muresanu, Andrei, Thudi, Anvith, Zhang, Michael R, Papernot, Nicolas

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Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization von Zhang, Michael R, Paine, Tom Le, Nachum, Ofir, Paduraru, Cosmin, Tucker, George, Wang, Ziyu, Norouzi, Mohammad

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Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes von Lucas, James, Bae, Juhan, Zhang, Michael R, Fort, Stanislav, Zemel, Richard, Grosse, Roger

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Lookahead Optimizer: k steps forward, 1 step back von Zhang, Michael R, Lucas, James, Hinton, Geoffrey, Ba, Jimmy

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Objective Social Choice: Using Auxiliary Information to Improve Voting Outcomes von Pitis, Silviu, Zhang, Michael R

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Boosted Prompt Ensembles for Large Language Models von Pitis, Silviu, Zhang, Michael R, Wang, Andrew, Ba, Jimmy

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Using Large Language Models for Hyperparameter Optimization von Zhang, Michael R, Desai, Nishkrit, Bae, Juhan, Lorraine, Jonathan, Ba, Jimmy

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