Zobrazeno 1 - 10
of 11 300
pro vyhledávání: '"Bostrom, A."'
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
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
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
Autor:
Amy McGovern, Julie Demuth, Ann Bostrom, Christopher D. Wirz, Philippe E. Tissot, Mariana G. Cains, Kate D. Musgrave
Publikováno v:
npj Natural Hazards, Vol 1, Iss 1, Pp 1-6 (2024)
Abstract Artificial Intelligence applications are rapidly expanding across weather, climate, and natural hazards. AI can be used to assist with forecasting weather and climate risks, including forecasting both the chance that a hazard will occur and
Externí odkaz:
https://doaj.org/article/99c1ee6c4ae84764bba11786db116a00
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:
Michael Sommerauer, Benjamin Seligmann, Hannah Gottlieb, Anton Hohenwarter, Jeong-Ha You, Neil Bostrom, Reinhard Pippan, Maximilian Siller, Verena Maier–Kiener
Publikováno v:
Nuclear Materials and Energy, Vol 41, Iss , Pp 101769- (2024)
Thermomechanical fatigue of refractory metals is commonly observed in high-temperature environments like first walls and divertors for proposed fusion reactors or X-ray anodes for medical imaging. Typically, alloying with rhenium or optimized microst
Externí odkaz:
https://doaj.org/article/b0382500dc6145e4b9cae636dc971fe1
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