Zobrazeno 1 - 10
of 22 721
pro vyhledávání: '"A. Wexler"'
Autor:
Ziemke, Carson, Nguyen, Ha M., Amaya-Roncancio, Sebastian, Gahl, John, Xing, Yangchuan, Heitmann, Thomas W., Wexler, Carlos
The monoclinic (m-LBO) and tetragonal (t-LBO) polymorphs of LiBO2 have significant potential for applications such as solid electrolytes and electrode coatings of lithium-ion batteries. While comparative experimental studies of electron and lithium t
Externí odkaz:
http://arxiv.org/abs/2410.06284
Large language models (LLMs) are highly capable at a variety of tasks given the right prompt, but writing one is still a difficult and tedious process. In this work, we introduce ConstitutionalExperts, a method for learning a prompt consisting of con
Externí odkaz:
http://arxiv.org/abs/2403.04894
Autor:
Qian, Crystal, Wexler, James
Although recent developments in generative AI have greatly enhanced the capabilities of conversational agents such as Google's Gemini (formerly Bard) or OpenAI's ChatGPT, it's unclear whether the usage of these agents aids users across various contex
Externí odkaz:
http://arxiv.org/abs/2402.18498
Making sense of unstructured text datasets is perennially difficult, yet increasingly relevant with Large Language Models. Data workers often rely on dataset summaries, especially distributions of various derived features. Some features, like toxicit
Externí odkaz:
http://arxiv.org/abs/2402.14880
Autor:
Kahng, Minsuk, Tenney, Ian, Pushkarna, Mahima, Liu, Michael Xieyang, Wexler, James, Reif, Emily, Kallarackal, Krystal, Chang, Minsuk, Terry, Michael, Dixon, Lucas
Automatic side-by-side evaluation has emerged as a promising approach to evaluating the quality of responses from large language models (LLMs). However, analyzing the results from this evaluation approach raises scalability and interpretability chall
Externí odkaz:
http://arxiv.org/abs/2402.10524
Autor:
Haber, Simi, Wexler, Yonatan
Ensemble learning combines several individual models to obtain a better generalization performance. In this work we present a practical method for estimating the joint power of several classifiers. It differs from existing approaches which focus on "
Externí odkaz:
http://arxiv.org/abs/2311.10940
Autor:
Petridis, Savvas, Wedin, Ben, Wexler, James, Donsbach, Aaron, Pushkarna, Mahima, Goyal, Nitesh, Cai, Carrie J., Terry, Michael
Large language model (LLM) prompting is a promising new approach for users to create and customize their own chatbots. However, current methods for steering a chatbot's outputs, such as prompt engineering and fine-tuning, do not support users in conv
Externí odkaz:
http://arxiv.org/abs/2310.15428
Publikováno v:
EvoDevo, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Background Early embryogenesis is characterized by dramatic cell proliferation and movement. In most insects, early embryogenesis includes a phase called the uniform blastoderm, during which cells evenly cover the entirety of the egg. Howeve
Externí odkaz:
https://doaj.org/article/3d4746037fb9463bb7394e924f8fb6ac
Studies in atomic-scale modeling of surface phase equilibria often focus on temperatures near zero Kelvin due to the challenges in calculating the free energy of surfaces at finite temperatures. The Bayesian-inference-based nested sampling (NS) algor
Externí odkaz:
http://arxiv.org/abs/2308.08509
Autor:
Choudhary, Kamal, Wines, Daniel, Li, Kangming, Garrity, Kevin F., Gupta, Vishu, Romero, Aldo H., Krogel, Jaron T., Saritas, Kayahan, Fuhr, Addis, Ganesh, Panchapakesan, Kent, Paul R. C., Yan, Keqiang, Lin, Yuchao, Ji, Shuiwang, Blaiszik, Ben, Reiser, Patrick, Friederich, Pascal, Agrawal, Ankit, Tiwary, Pratyush, Beyerle, Eric, Minch, Peter, Rhone, Trevor David, Takeuchi, Ichiro, Wexler, Robert B., Mannodi-Kanakkithodi, Arun, Ertekin, Elif, Mishra, Avanish, Mathew, Nithin, Baird, Sterling G., Wood, Mitchell, Rohskopf, Andrew Dale, Hattrick-Simpers, Jason, Wang, Shih-Han, Achenie, Luke E. K., Xin, Hongliang, Williams, Maureen, Biacchi, Adam J., Tavazza, Francesca
Lack of rigorous reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experimental and theoretical approaches that require careful benchmarking. Leade
Externí odkaz:
http://arxiv.org/abs/2306.11688