Zobrazeno 1 - 10
of 11 280
pro vyhledávání: '"Bostrom A"'
Autor:
Hermann M, Carstens N, Kvinge L, Fjell A, Wennersberg M, Folleso K, Skaug K, Seiger A, Cronfalk BS, Bostrom AM
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 14, Pp 589-597 (2021)
Monica Hermann,1 Nina Carstens,2 Lars Kvinge,1 Astrid Fjell,1,3 Marianne Wennersberg,4 Kjersti Folleso,5 Knut Skaug,6 Ake Seiger,7 Berit Seiger Cronfalk,3,8 Anne-Marie Bostrom1,3,9 1Department of Health and Caring Sciences, Western Norway University
Externí odkaz:
https://doaj.org/article/7bf99f6897c04b27904deec965c370db
We present Lil-Bevo, our submission to the BabyLM Challenge. We pretrained our masked language models with three ingredients: an initial pretraining with music data, training on shorter sequences before training on longer ones, and masking specific t
Externí odkaz:
http://arxiv.org/abs/2310.17591
Publikováno v:
ICLR 2024 (Spotlight)
While large language models (LLMs) equipped with techniques like chain-of-thought prompting have demonstrated impressive capabilities, they still fall short in their ability to reason robustly in complex settings. However, evaluating LLM reasoning is
Externí odkaz:
http://arxiv.org/abs/2310.16049
Autor:
Camila J. Cuellar, Thiago F. Amaral, Paula Rodriguez‐Villamil, F. Ongaratto, D. Onan Martinez, Rémi Labrecque, João D. de Agostini Losano, Eliab Estrada‐Cortés, Jonathan R. Bostrom, Kyra Martins, D. Owen Rae, Jeremy Block, Quinn A. Hoorn, Bradford W. Daigneault, Jonathan Merriam, Michael Lohuis, Serdal Dikmen, João H. J. Bittar, Tatiane S. Maia, Daniel F. Carlson, Sabreena Larson, Tad S. Sonstegard, Peter J. Hansen
Publikováno v:
FASEB BioAdvances, Vol 6, Iss 8, Pp 223-234 (2024)
Abstract Global warming is a major challenge to the sustainable and humane production of food because of the increased risk of livestock to heat stress. Here, the example of the prolactin receptor (PRLR) gene is used to demonstrate how gene editing c
Externí odkaz:
https://doaj.org/article/9c2fdecfd6fc42c2b2aef21505d1da0e
Current natural language systems designed for multi-step claim validation typically operate in two phases: retrieve a set of relevant premise statements using heuristics (planning), then generate novel conclusions from those statements using a large
Externí odkaz:
http://arxiv.org/abs/2307.02472
Autor:
Rao, Yuhan, Redmon, Rob, Dale, Kirstine, Haupt, Sue E., Hopkinson, Aaron, Bostrom, Ann, Boukabara, Sid, Geenen, Thomas, Hall, David M., Smith, Benjamin D., Niyogi, Dev, Ramaswamy, V., Kihn, Eric A.
The accelerated change in our planet due to human activities has led to grand societal challenges including health crises, intensified extreme weather events, food security, environmental injustice, etc. Digital twin systems combined with emerging te
Externí odkaz:
http://arxiv.org/abs/2306.11175
Autor:
Cavallini, Nicola, Ferretti, Riccardo, Bostrom, Gunnar, Croft, Stephen, Fassi, Aurora, Mercurio, Giovanni, Nonneman, Stefan, Favalli, Andrea
Passive Gamma Emission Tomography (PGET) has been developed by the International Atomic Energy Agency as a way to directly image the spatial distribution of individual fuel pins in a spent nuclear fuel assembly and so determine potential diversion. C
Externí odkaz:
http://arxiv.org/abs/2303.04675
A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a set of premises. However, these methods can only make sound deductions
Externí odkaz:
http://arxiv.org/abs/2211.00614
Autor:
Christopher D. Wirz, Carly Sutter, Julie L. Demuth, Kirsten J. Mayer, William E. Chapman, Mariana Goodall Cains, Jacob Radford, Vanessa Przybylo, Aaron Evans, Thomas Martin, Lauriana C. Gaudet, Kara Sulia, Ann Bostrom, David John Gagne II, Nick Bassill, Andrea Schumacher, Christopher Thorncroft
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract Artificial intelligence (AI) and machine learning (ML) pose a challenge for achieving science that is both reproducible and replicable. The challenge is compounded in supervised models that depend on manually labeled training data, as they i
Externí odkaz:
https://doaj.org/article/e829cabd53eb47d19b26de2fe0d6faa8
Autor:
Sloot, Daniel, Bostrom, Ann
Publikováno v:
In Energy Research & Social Science October 2024 116