Zobrazeno 1 - 10
of 563
pro vyhledávání: '"Strzalkowski, P."'
Autor:
Bhaumik, Ankita, Strzalkowski, Tomek
Large language models (LLMs) have demonstrated impressive performance in mathematical and commonsense reasoning tasks using chain-of-thought (CoT) prompting techniques. But can they perform emotional reasoning by concatenating `Let's think step-by-st
Externí odkaz:
http://arxiv.org/abs/2408.04906
The identification of Figurative Language (FL) features in text is crucial for various Natural Language Processing (NLP) tasks, where understanding of the author's intended meaning and its nuances is key for successful communication. At the same time
Externí odkaz:
http://arxiv.org/abs/2406.08218
Publikováno v:
2024.lrec-main.1476
The behavior and decision making of groups or communities can be dramatically influenced by individuals pushing particular agendas, e.g., to promote or disparage a person or an activity, to call for action, etc.. In the examination of online influenc
Externí odkaz:
http://arxiv.org/abs/2405.00821
Social media platforms are popular tools for disseminating targeted information during major public events like elections or pandemics. Systematic analysis of the message traffic can provide valuable insights into prevailing opinions and social dynam
Externí odkaz:
http://arxiv.org/abs/2402.15571
Autor:
Pisano, Matthew, Ly, Peter, Sanders, Abraham, Yao, Bingsheng, Wang, Dakuo, Strzalkowski, Tomek, Si, Mei
Research into AI alignment has grown considerably since the recent introduction of increasingly capable Large Language Models (LLMs). Unfortunately, modern methods of alignment still fail to fully prevent harmful responses when models are deliberatel
Externí odkaz:
http://arxiv.org/abs/2312.00029
Autor:
Piotr Strzalkowski, Alicja Strzalkowska, Jay Chhablani, Kristina Pfau, Marie-Hélène Errera, Mathias Roth, Friederike Schaub, Nikolaos E. Bechrakis, Hans Hoerauf, Constantin Reiter, Alexander K. Schuster, Gerd Geerling, Rainer Guthoff
Publikováno v:
International Journal of Retina and Vitreous, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Background Large language models (LLMs) such as ChatGPT-4 and Google Gemini show potential for patient health education, but concerns about their accuracy require careful evaluation. This study evaluates the readability and accuracy of ChatG
Externí odkaz:
https://doaj.org/article/b03e7d9f15a74f2aa9e7f35a8080e469
Autor:
Alhaddad, Toni, Shoker, Mohamad, Pages, Olivier, Polian, Alain, Torres, Vitor, Godec, Yann Le, Itie, Jean-Paul, Bellin, Christophe, Beneut, Keevin, Diliberto, Sebastien, Michel, Stephanie, Marasek, Agnieszka, Strzalkowski, Karol
The Cd1-xZnxTe semiconductor alloy is a regular system regarding its macroscopic mechanic properties in that its experimental bulk modulus exhibits a linear x-dependence, in line with ab initio predictions. Complexity arises at the bond scale, referr
Externí odkaz:
http://arxiv.org/abs/2306.14539
Autor:
Elmahjoubi, A., Shoker, M. B., Pages, O., Torres, V. J. B., Polian, A., Postnikov, A. V., Bellin, C., Beneut, K., Gardiennet, C., Kervern, G., EnNaciri, A., Broch, L., Hussein, R. Hajj, Itie, J. -P., Nataf, L., Ravy, S., Franchetti, P., Diliberto, S., Michel, S., Abouais, A., Strzalkowski, K.
The (Cd, Be)Te semiconductor alloy that exhibits a dramatic mismatch in bond covalency and stiffness clarifying its vibrational and mechanical properties is used as a benchmark to test the limits of the percolation model (PM) worked out to explain th
Externí odkaz:
http://arxiv.org/abs/2303.01780
Autor:
Sanders, Abraham, Strzalkowski, Tomek, Si, Mei, Chang, Albert, Dey, Deepanshu, Braasch, Jonas, Wang, Dakuo
Recent advances in large-scale language modeling and generation have enabled the creation of dialogue agents that exhibit human-like responses in a wide range of conversational scenarios spanning a diverse set of tasks, from general chit-chat to focu
Externí odkaz:
http://arxiv.org/abs/2205.03692
Selecting powerful predictors for an outcome is a cornerstone task for machine learning. However, some types of questions can only be answered by identifying the predictors that causally affect the outcome. A recent approach to this causal inference
Externí odkaz:
http://arxiv.org/abs/2110.07064