Zobrazeno 1 - 10
of 39 983
pro vyhledávání: '"A, Downey"'
A longstanding question is to characterize the lattice of supersets (modulo finite sets), $L^*(A)$, of a low$_2$ computably enumerable (c.e.) set. The conjecture is that $L^*(A)\cong {E}^*$ the lattice of all c.e. sets. In spite of claims in the lite
Externí odkaz:
http://arxiv.org/abs/2412.01939
Transformer neural networks (TNN) excel in natural language processing (NLP), machine translation, and computer vision (CV) without relying on recurrent or convolutional layers. However, they have high computational and memory demands, particularly o
Externí odkaz:
http://arxiv.org/abs/2411.18148
Autor:
Downey, Jordan, Kenny, Avi
We describe the DISC (Different Individuals, Same Clusters) design, a sampling scheme that can improve the precision of difference-in-differences (DID) estimators in settings involving repeated sampling of a population at multiple time points. Althou
Externí odkaz:
http://arxiv.org/abs/2411.17905
Autor:
Asai, Akari, He, Jacqueline, Shao, Rulin, Shi, Weijia, Singh, Amanpreet, Chang, Joseph Chee, Lo, Kyle, Soldaini, Luca, Feldman, Sergey, D'arcy, Mike, Wadden, David, Latzke, Matt, Tian, Minyang, Ji, Pan, Liu, Shengyan, Tong, Hao, Wu, Bohao, Xiong, Yanyu, Zettlemoyer, Luke, Neubig, Graham, Weld, Dan, Downey, Doug, Yih, Wen-tau, Koh, Pang Wei, Hajishirzi, Hannaneh
Scientific progress depends on researchers' ability to synthesize the growing body of literature. Can large language models (LMs) assist scientists in this task? We introduce OpenScholar, a specialized retrieval-augmented LM that answers scientific q
Externí odkaz:
http://arxiv.org/abs/2411.14199
Autor:
Kabir, Ehsan, Kabir, Md. Arafat, Downey, Austin R. J., Bakos, Jason D., Andrews, David, Huang, Miaoqing
Transformer neural networks (TNNs) are being applied across a widening range of application domains, including natural language processing (NLP), machine translation, and computer vision (CV). Their popularity is largely attributed to the exceptional
Externí odkaz:
http://arxiv.org/abs/2409.14023
Autor:
Wang, Haozhe, Huyan, Shuyuan, Downey, Eoghan, Wang, Yang, Smolenski, Shane, Li, Du, Yang, Li, Bostwick, Aaron, Jozwiak, Chris, Rotenberg, Eli, Bud'ko, Sergey L., Canfield, Paul C., Cava, R. J., Jo, Na Hyun, Xie, Weiwei
Non-magnetic FeNb$_3$Se$_{10}$ has been demonstrated to be an insulator at ambient pressure through both theoretical calculations and experimental measurements and it does not host topological surface states. Here we show that on the application of p
Externí odkaz:
http://arxiv.org/abs/2409.06460
Autor:
Keenan, Ryan P., Marrone, Daniel P., Keating, Garrett K., Mayer, Evan C., Bays, Kevin, Downey, John, Dunn, Lochlann C., Flores, Joanne C., Folkers, Thomas W., Forbes, David C., Guvenen, Blythe C., Holmstedt, Christian, Moulton, Robert M., Sullivan, Patrick
The CO(1-0) line has been carefully calibrated as a tracer of molecular gas mass. However, recent studies often favor higher J transitions of the CO molecule which are brighter and accessible for redshift ranges where CO(1-0) is not. These lines are
Externí odkaz:
http://arxiv.org/abs/2408.02617
Autor:
Wadden, David, Shi, Kejian, Morrison, Jacob, Naik, Aakanksha, Singh, Shruti, Barzilay, Nitzan, Lo, Kyle, Hope, Tom, Soldaini, Luca, Shen, Shannon Zejiang, Downey, Doug, Hajishirzi, Hannaneh, Cohan, Arman
We present SciRIFF (Scientific Resource for Instruction-Following and Finetuning), a dataset of 137K instruction-following demonstrations for 54 tasks covering five essential scientific literature understanding capabilities: information extraction, s
Externí odkaz:
http://arxiv.org/abs/2406.07835
The "massively-multilingual" training of multilingual models is known to limit their utility in any one language, and they perform particularly poorly on low-resource languages. However, there is evidence that low-resource languages can benefit from
Externí odkaz:
http://arxiv.org/abs/2405.12413
Topic pages aggregate useful information about an entity or concept into a single succinct and accessible article. Automated creation of topic pages would enable their rapid curation as information resources, providing an alternative to traditional w
Externí odkaz:
http://arxiv.org/abs/2405.01796