Results 11 to 20 of about 56,050 (312)
LLM-enabled Incremental Learning Framework for Hand Exoskeleton Control
It remains a formidable challenge to accurately recognize patients’ motion intentions to flexibly control hand exoskeletons. Current methods primarily focus on recognition of limited patient’s motion intentions, with the purpose of controlling ...
Wenyuan Chen (16481550)
core +1 more source
LLM-Assisted Content Analysis (LACA): Coded data and model reasons
Description This resources consists of calibrations sets (N=100) for 4 publically available datasets using the LLM-Assisted Content Analysis method (LACA).
Annice Kim (16019375) +4 more
core +1 more source
"To LLM, or Not to LLM?": How Designers and Developers Navigate LLMs as Tools or Teammates
6 pages, 2 figures, 1 ...
Varad Vishwarupe +3 more
openaire +2 more sources
Аналіз вразливостей великих мовних моделей
Мета роботи: аналіз вразливостей великих мовних моделей (LLM) на основі класифікації OWASP Top 10 для застосунків LLM, проведення оцінки потенційних загроз та розробка рекомендацій щодо підвищення рівня безпеки цих моделей.
Viktor Kolchenko +4 more
doaj +1 more source
LLMs + Persona-Plug = Personalized LLMs
Personalization plays a critical role in numerous language tasks and applications, since users with the same requirements may prefer diverse outputs based on their individual interests. This has led to the development of various personalized approaches aimed at adapting large language models (LLMs) to generate customized outputs aligned with user ...
Jiongnan Liu 0001 +8 more
openaire +3 more sources
Generative AI Technologies as a Tool for Counter-Narratives to Russian Propaganda
This article explores the potential of generative artificial intelligence (AI) technologies as a tool for constructing counter-narratives against russian propaganda in the context of the full-scale war in Ukraine. It examines methodological approaches to
Vasyl Baranets, Ivan Osadtsa
doaj +1 more source
Set-LLM: A Permutation-Invariant LLM
While large language models (LLMs) demonstrate impressive capabilities across numerous applications, their robustness remains a critical concern. This paper is motivated by a specific vulnerability: the order sensitivity of LLMs. This vulnerability manifests itself as the order bias observed when LLMs decide between possible options (for example, a ...
Beni Egressy, Jan Stühmer
openaire +2 more sources
Evaluating Reasoning in Large Language Models with a Modified Think-a-Number Game: Case Study
Background: Large language models (LLMs) excel at various tasks but often encounter difficulties when extended reasoning requires maintaining a consistent internal state.
Petr Hoza
doaj +1 more source
The exponential growth of social media and generative AI has transformed information dissemination, fostering connectivity but also accelerating the spread of misinformation. Understanding information propagation dynamics and developing effective control strategies is essential to mitigate harmful content. Traditional models, such as SIR, provide basic
Litian Zhang +7 more
openaire +2 more sources

