Zobrazeno 1 - 10
of 7 816
pro vyhledávání: '"White, Michael A"'
Autor:
Bakalis, Jin, Chernov, Sergii, Li, Ziling, Kunin, Alice, Withers, Zachary H., Cheng, Shuyu, Adler, Alexander, Zhao, Peng, Corder, Christopher, White, Michael G., Schönhense, Gerd, Du, Xu, Kawkami, Roland, Allison, Thomas K.
Publikováno v:
Nano Lett. 24, 9353 (2024)
The unique optical properties of graphene, with broadband absorption and ultrafast response, make it a critical component of optoelectronic and spintronic devices. Using time-resolved momentum microscopy with high data rate and high dynamic range, we
Externí odkaz:
http://arxiv.org/abs/2402.13205
In this paper, we examine how large language models (LLMs) solve multi-step problems under a language agent framework with three components: a generator, a discriminator, and a planning method. We investigate the practical utility of two advanced pla
Externí odkaz:
http://arxiv.org/abs/2402.10890
Autor:
White, Michael D., Haribabu, Gowtham Nimmal, Jegadeesan, Jeyapriya Thimukonda, Basu, Bikramjit, Withers, Philip J., Race, Chris P.
Microstructure is key to controlling and understanding the properties of metallic materials, but traditional approaches to describing microstructure capture only a small number of features. To enable data-centric approaches to materials discovery, al
Externí odkaz:
http://arxiv.org/abs/2401.11967
Autor:
Barba, Maria, Hansen, Benjamin, White, Michael, Johnson, Gregory, Atassi, Omar Al, Dong, Jun, Ranpariya, Shreya, Soyars, William, Faraj, Ahmed, Patel, Pratik, Besse, Noelle, Machefel, Annelise, Perrot, Lois
The increase over the last years of the testing activities related to quantum systems, SRF cavities for the PIP-II and the LCLS-II projects, as well as superconducting magnets for the HL-LHC project and Fusion research activities, has required the ad
Externí odkaz:
http://arxiv.org/abs/2308.15610
Autor:
Chen, Ziru, Chen, Shijie, White, Michael, Mooney, Raymond, Payani, Ali, Srinivasa, Jayanth, Su, Yu, Sun, Huan
Despite recent progress in text-to-SQL parsing, current semantic parsers are still not accurate enough for practical use. In this paper, we investigate how to build automatic text-to-SQL error correction models. Noticing that token-level edits are ou
Externí odkaz:
http://arxiv.org/abs/2305.13073
Autor:
Gehrmann, Sebastian, Bhattacharjee, Abhik, Mahendiran, Abinaya, Wang, Alex, Papangelis, Alexandros, Madaan, Aman, McMillan-Major, Angelina, Shvets, Anna, Upadhyay, Ashish, Yao, Bingsheng, Wilie, Bryan, Bhagavatula, Chandra, You, Chaobin, Thomson, Craig, Garbacea, Cristina, Wang, Dakuo, Deutsch, Daniel, Xiong, Deyi, Jin, Di, Gkatzia, Dimitra, Radev, Dragomir, Clark, Elizabeth, Durmus, Esin, Ladhak, Faisal, Ginter, Filip, Winata, Genta Indra, Strobelt, Hendrik, Hayashi, Hiroaki, Novikova, Jekaterina, Kanerva, Jenna, Chim, Jenny, Zhou, Jiawei, Clive, Jordan, Maynez, Joshua, Sedoc, João, Juraska, Juraj, Dhole, Kaustubh, Chandu, Khyathi Raghavi, Perez-Beltrachini, Laura, Ribeiro, Leonardo F. R., Tunstall, Lewis, Zhang, Li, Pushkarna, Mahima, Creutz, Mathias, White, Michael, Kale, Mihir Sanjay, Eddine, Moussa Kamal, Daheim, Nico, Subramani, Nishant, Dusek, Ondrej, Liang, Paul Pu, Ammanamanchi, Pawan Sasanka, Zhu, Qi, Puduppully, Ratish, Kriz, Reno, Shahriyar, Rifat, Cardenas, Ronald, Mahamood, Saad, Osei, Salomey, Cahyawijaya, Samuel, Štajner, Sanja, Montella, Sebastien, Shailza, Jolly, Shailza, Mille, Simon, Hasan, Tahmid, Shen, Tianhao, Adewumi, Tosin, Raunak, Vikas, Raheja, Vipul, Nikolaev, Vitaly, Tsai, Vivian, Jernite, Yacine, Xu, Ying, Sang, Yisi, Liu, Yixin, Hou, Yufang
Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using leaderboards, but the evaluation choices become sub-optimal as better
Externí odkaz:
http://arxiv.org/abs/2206.11249
Autor:
White, Michael D., Tarakanov, Alexander, Race, Christopher P., Withers, Philip J., Law, Kody J. H.
Finding efficient means of fingerprinting microstructural information is a critical step towards harnessing data-centric machine learning approaches. A statistical framework is systematically developed for compressed characterisation of a population
Externí odkaz:
http://arxiv.org/abs/2203.13718
Autor:
Kunin, Alice, Chernov, Sergey, Bakalis, Jin, Li, Ziling, Cheng, Shuyu, Withers, Zachary H., White, Michael G., Schönhense, Gerd, Du, Xu, Kawakami, Roland K., Allison, Thomas K.
Publikováno v:
Phys. Rev. Lett. 130, 046202 (2023)
Coupling between exciton states across the Brillouin zone in monolayer transition metal dichalcogenides can lead to ultrafast valley depolarization. Using time- and angle-resolved photoemission, we present momentum- and energy-resolved measurements o
Externí odkaz:
http://arxiv.org/abs/2203.02419
Autor:
Almahawis, Mohammed K., Bailey, Ryan T., Abbas, Salam A., Arnold, Jeffrey G., White, Michael J.
Publikováno v:
In Agricultural Water Management 1 August 2024 301
Existing studies on semantic parsing focus primarily on mapping a natural-language utterance to a corresponding logical form in one turn. However, because natural language can contain a great deal of ambiguity and variability, this is a difficult cha
Externí odkaz:
http://arxiv.org/abs/2110.08345