Zobrazeno 1 - 10
of 21 299
pro vyhledávání: '"Forrest P"'
Autor:
Patel N, Jacobs D, John J, Fayed M, Nerusu L, Tandron M, Dailey W, Ayala R, Sibai N, Forrest P, Schwalb J, Aiyer R
Publikováno v:
Journal of Pain Research, Vol Volume 15, Pp 1233-1245 (2022)
Nimesh Patel,1 David Jacobs,1 Jessin John,1 Mohamed Fayed,1 Lakshmi Nerusu,2 Marissa Tandron,2 William Dailey,2 Ricardo Ayala,2 Nabil Sibai,1,2 Patrick Forrest,1,2 Jason Schwalb,2,3 Rohit Aiyer1,2 1Department of Anesthesiology, Pain Management and Pe
Externí odkaz:
https://doaj.org/article/655a5652e1ae48f3aacb0b540dc3b3c2
Autor:
McConachie, Ian, Wilson, Gillian, Forrest, Ben, Marsan, Z. Cemile, Muzzin, Adam, Cooper, M. C., Annunziatella, Marianna, Marchesini, Danilo, Gomez, Percy, Chang, Wenjun, Stawinski, Stephanie M. Urbano, McDonald, Michael, Webb, Tracy, Noble, Allison, Lemaux, Brian C., Shah, Ekta A., Staab, Priti, Lubin, Lori M., Gal, Roy R.
We examine the quiescent fractions of massive galaxies in six $z\gtrsim3$ spectroscopically-confirmed protoclusters in the COSMOS field, one of which is newly confirmed and presented here. We report the spectroscopic confirmation of MAGAZ3NE~J100143+
Externí odkaz:
http://arxiv.org/abs/2411.14641
Autor:
Forbes, John C., Bannister, Michele T., Lintott, Chris, Forrest, Angus, Zwart, Simon Portegies, Dorsey, Rosemary C., Albrow, Leah, Hopkins, Matthew J.
Upcoming surveys are likely to discover a new sample of interstellar objects (ISOs) within the Solar System, but questions remain about the origin and distribution of this population within the Galaxy. ISOs are ejected from their host systems with a
Externí odkaz:
http://arxiv.org/abs/2411.14577
Autor:
Noever, David, McKee, Forrest
This research introduces a novel evaluation framework designed to assess large language models' (LLMs) ability to acknowledge uncertainty on 675 fundamentally unsolvable problems. Using a curated dataset of graduate-level grand challenge questions wi
Externí odkaz:
http://arxiv.org/abs/2411.14486
Autor:
Dominé, Laura, Biswas, Ankit, Cloete, Richard, Delacroix, Alex, Fedorenko, Andriy, Jacaruso, Lucas, Kelderman, Ezra, Keto, Eric, Little, Sarah, Loeb, Abraham, Masson, Eric, Prior, Mike, Schultz, Forrest, Szenher, Matthew, Watters, Wes, White, Abby
To date there is little publicly available scientific data on Unidentified Aerial Phenomena (UAP) whose properties and kinematics purportedly reside outside the performance envelope of known phenomena. To address this deficiency, the Galileo Project
Externí odkaz:
http://arxiv.org/abs/2411.07956
Autor:
Bao, Forrest Sheng, Li, Miaoran, Qu, Renyi, Luo, Ge, Wan, Erana, Tang, Yujia, Fan, Weisi, Tamber, Manveer Singh, Kazi, Suleman, Sourabh, Vivek, Qi, Mike, Tu, Ruixuan, Xu, Chenyu, Gonzales, Matthew, Mendelevitch, Ofer, Ahmad, Amin
Summarization is one of the most common tasks performed by large language models (LLMs), especially in applications like Retrieval-Augmented Generation (RAG). However, existing evaluations of hallucinations in LLM-generated summaries, and evaluations
Externí odkaz:
http://arxiv.org/abs/2410.13210
Recent advances in Retrieval-Augmented Generation (RAG) systems have popularized semantic chunking, which aims to improve retrieval performance by dividing documents into semantically coherent segments. Despite its growing adoption, the actual benefi
Externí odkaz:
http://arxiv.org/abs/2410.13070
Autor:
Noever, David, McKee, Forrest
The research builds and evaluates the adversarial potential to introduce copied code or hallucinated AI recommendations for malicious code in popular code repositories. While foundational large language models (LLMs) from OpenAI, Google, and Anthropi
Externí odkaz:
http://arxiv.org/abs/2410.06462
Autor:
Hung, Denise, Lemaux, Brian C., Cucciati, Olga, Forrest, Ben, Shah, Ekta A., Gal, Roy R., Giddings, Finn, Sikorski, Derek, Golden-Marx, Emmet, Lubin, Lori M., Hathi, Nimish, Zamorani, Giovanni, Bardelli, Sandro, Cassara, Letizia P., De Lucia, Gabriella, Fontanot, Fabio, Garilli, Bianca, Guaita, Lucia, Hirschmann, Michaela Monika, Lee, Kyoung-Soo, Newman, Andrew B., Ramakrishnan, Vandana, Vergani, Daniela, Xie, Lizhi, Zucca, Elena
The Charting Cluster Construction with VUDS and ORELSE (C3VO) survey is an ongoing imaging and spectroscopic campaign aiming to map out the growth of structure up to $z\sim5$ and was born from the combination of the VIMOS Ultra Deep Survey (VUDS) and
Externí odkaz:
http://arxiv.org/abs/2410.00237
Autor:
Zhang, Haotian, Gao, Mingfei, Gan, Zhe, Dufter, Philipp, Wenzel, Nina, Huang, Forrest, Shah, Dhruti, Du, Xianzhi, Zhang, Bowen, Li, Yanghao, Dodge, Sam, You, Keen, Yang, Zhen, Timofeev, Aleksei, Xu, Mingze, Chen, Hong-You, Fauconnier, Jean-Philippe, Lai, Zhengfeng, You, Haoxuan, Wang, Zirui, Dehghan, Afshin, Grasch, Peter, Yang, Yinfei
We present MM1.5, a new family of multimodal large language models (MLLMs) designed to enhance capabilities in text-rich image understanding, visual referring and grounding, and multi-image reasoning. Building upon the MM1 architecture, MM1.5 adopts
Externí odkaz:
http://arxiv.org/abs/2409.20566