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pro vyhledávání: '"Mantas, A."'
Due to strong irradiation, hot rocky exoplanets are able to sustain lava oceans. Direct interaction between these oceans and overlying atmospheres can provide insight into planetary interiors. In order to fully understand how the composition of the a
Externí odkaz:
http://arxiv.org/abs/2408.10863
Background/introduction: Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These sentence-level embeddings are also important in
Externí odkaz:
http://arxiv.org/abs/2408.08073
Classical probabilistic rounding error analysis is particularly well suited to stochastic rounding (SR), and it yields strong results when dealing with floating-point algorithms that rely heavily on summation. For many numerical linear algebra algori
Externí odkaz:
http://arxiv.org/abs/2408.03069
Autor:
Tamirisa, Rishub, Bharathi, Bhrugu, Phan, Long, Zhou, Andy, Gatti, Alice, Suresh, Tarun, Lin, Maxwell, Wang, Justin, Wang, Rowan, Arel, Ron, Zou, Andy, Song, Dawn, Li, Bo, Hendrycks, Dan, Mazeika, Mantas
Rapid advances in the capabilities of large language models (LLMs) have raised widespread concerns regarding their potential for malicious use. Open-weight LLMs present unique challenges, as existing safeguards lack robustness to tampering attacks th
Externí odkaz:
http://arxiv.org/abs/2408.00761
Autor:
Ren, Richard, Basart, Steven, Khoja, Adam, Gatti, Alice, Phan, Long, Yin, Xuwang, Mazeika, Mantas, Pan, Alexander, Mukobi, Gabriel, Kim, Ryan H., Fitz, Stephen, Hendrycks, Dan
As artificial intelligence systems grow more powerful, there has been increasing interest in "AI safety" research to address emerging and future risks. However, the field of AI safety remains poorly defined and inconsistently measured, leading to con
Externí odkaz:
http://arxiv.org/abs/2407.21792
Large Language Models (LLMs) with billions of parameters are known for their impressive predicting capabilities but require lots of resources to run. With their massive rise in popularity, even a small reduction in required resources could have an im
Externí odkaz:
http://arxiv.org/abs/2407.19947
Sentiment analysis is a widely researched area within Natural Language Processing (NLP), attracting significant interest due to the advent of automated solutions. Despite this, the task remains challenging because of the inherent complexity of langua
Externí odkaz:
http://arxiv.org/abs/2407.19914
Autor:
Kleitsiotis, G., Bousoulas, P., Mantas, S. D., Tsioustas, C., Fyrigos, I. A., Sirakoulis, G., Tsoukalas, D.
In this work, an optimized method was implemented for attaining stable multibit operation with low energy consumption in a two-terminal memory element made from the following layers: Ag/Pt nanoparticles (NPs)/SiO2/TiN in a 1-Transistor-1-Memristor co
Externí odkaz:
http://arxiv.org/abs/2406.13505
Recent advancements in Large Language Models (LLMs) and their utilization in code generation tasks have significantly reshaped the field of software development. Despite the remarkable efficacy of code completion solutions in mainstream programming l
Externí odkaz:
http://arxiv.org/abs/2405.15729
Autor:
Hu, Renyu, Bello-Arufe, Aaron, Zhang, Michael, Paragas, Kimberly, Zilinskas, Mantas, van Buchem, Christiaan, Bess, Michael, Patel, Jayshil, Ito, Yuichi, Damiano, Mario, Scheucher, Markus, Oza, Apurva V., Knutson, Heather A., Miguel, Yamila, Dragomir, Diana, Brandeker, Alexis, Demory, Brice-Olivier
Characterizing rocky exoplanets is a central endeavor of astronomy, and yet the search for atmospheres on rocky exoplanets has hitherto resulted in either tight upper limits on the atmospheric mass or inconclusive results. The 1.95-REarth and 8.8-MEa
Externí odkaz:
http://arxiv.org/abs/2405.04744