Zobrazeno 1 - 10
of 52 148
pro vyhledávání: '"Context matters"'
Autor:
Chattopadhyay, Sameep, Paliwal, Pulkit, Narasimhan, Sai Shankar, Agarwal, Shubhankar, Chinchali, Sandeep P.
Time series forecasts are often influenced by exogenous contextual features in addition to their corresponding history. For example, in financial settings, it is hard to accurately predict a stock price without considering public sentiments and polic
Externí odkaz:
http://arxiv.org/abs/2410.12672
Autor:
Amara, Kenza, Klein, Lukas, Lüth, Carsten, Jäger, Paul, Strobelt, Hendrik, El-Assady, Mennatallah
The various limitations of Generative AI, such as hallucinations and model failures, have made it crucial to understand the role of different modalities in Visual Language Model (VLM) predictions. Our work investigates how the integration of informat
Externí odkaz:
http://arxiv.org/abs/2410.01690
Autor:
Schumacher, Dan, Haji, Fatemeh, Grey, Tara, Bandlamudi, Niharika, Karnik, Nupoor, Kumar, Gagana Uday, Chiang, Jason Cho-Yu, Rad, Paul, Vishwamitra, Nishant, Rios, Anthony
Large language models (LLMs) often struggle with temporal reasoning, crucial for tasks like historical event analysis and time-sensitive information retrieval. Despite advancements, state-of-the-art models falter in handling temporal information, esp
Externí odkaz:
http://arxiv.org/abs/2406.19538
Autor:
Winkler, Dorothee Maria1 (AUTHOR), Krzeminska, Anna2 (AUTHOR) anna.krzeminska@mq.edu.au
Publikováno v:
Journal of Management Studies (John Wiley & Sons, Inc.). Nov2024, Vol. 61 Issue 7, p3358-3388. 31p.
Remote sensing projects typically generate large amounts of imagery that can be used to train powerful deep neural networks. However, the amount of labeled images is often small, as remote sensing applications generally require expert labelers. Thus,
Externí odkaz:
http://arxiv.org/abs/2404.18583
Publikováno v:
Leadership Talks
Autor:
Warren, Vanessa1 (AUTHOR) vanessa.warren@utas.edu.au, Critchley, Christine1,2 (AUTHOR), McWhirter, Rebekah1,3 (AUTHOR), Walshe, Jarrod2 (AUTHOR), Nicol, Dianne1 (AUTHOR)
Publikováno v:
BMC Medical Genomics. 9/12/2024, Vol. 17 Issue 1, p1-16. 16p.
In the continuously advancing AI landscape, crafting context-rich and meaningful responses via Large Language Models (LLMs) is essential. Researchers are becoming more aware of the challenges that LLMs with fewer parameters encounter when trying to p
Externí odkaz:
http://arxiv.org/abs/2401.12671