Results 31 to 40 of about 70,803 (186)

Generative Artificial Intelligence in Ubiquitous Learning: Evaluating a Chatbot-based Recommendation Engine for Personalized and Context-aware Education

Acta Informatica Pragensia
Background: Ubiquitous learning environments aim to provide personalized and context-aware educational resources; however, traditional recommendation systems often fall short in meeting these dynamic learner needs.Objective: This study develops and ...
Manel Guettala, Samir Bourekkache, Okba Kazar, Saad Harous   +3 more
doaj   +1 more source

Reductive, Exclusionary, Normalising: The Limits of Generative AI Music

Transactions of the International Society for Music Information Retrieval
Up until recently, most approaches to music generation were based on deductive logic: generative rules were devised on the basis of musicians’ preferences, subjective appreciation and dominant music theories.
Fabio Morreale, Marco A. Martinez-Ramirez, Raul Masu, WeiHsiang Liao, Yuki Mitsufuji   +4 more
doaj   +1 more source

LLM Unlearning with LLM Beliefs

Large language models trained on vast corpora inherently risk memorizing sensitive or harmful content, which may later resurface in their outputs. Prevailing unlearning methods generally rely on gradient ascent and its variants to lower the probability of specific target responses.
Li, Kemou, Wang, Qizhou, Wang, Yue, Li, Fengpeng, Liu, Jun, Han, Bo, Zhou, Jiantao   +6 more
openaire   +2 more sources

explain. write. edit. summarise: An Exploratory Study on Agency Negotiations in Student-Chatbot Conversations

Human-Machine Communication Journal
LLM-based chatbots such as ChatGPT have given technologies that traditionally operated on the back end a user-friendly, conversational interface. Their rapid adoption among students has prompted universities worldwide to issue guidelines and re-examine ...
Árni Már Einarsson, Ekaterina Pashevich   +1 more
doaj   +1 more source

LLM-PQA: LLM-enhanced Prediction Query Answering

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
The advent of Large Language Models (LLMs) provides an opportunity to change the way queries are processed, moving beyond the constraints of conventional SQL-based database systems. However, using an LLM to answer a prediction query is still challenging, since an external ML model has to be employed and inference has to be performed in order to provide
Ziyu Li, Wenjie Zhao, Asterios Katsifodimos, Rihan Hai   +3 more
openaire   +2 more sources

Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity

Complex Systems Informatics and Modeling Quarterly
The systems considered in the presented research can be characterized as dynamically complex open systems, which means that “the system’s coherence lies not only within the system itself but also in its relationship with the environment”.
Małgorzata Pańkowska, Erika Nazaruka
doaj   +1 more source

CS1-LLM: Integrating LLMs into CS1 Instruction

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has shown that LLMs are capable of solving the majority of the assignments and exams we previously used in CS1.
Annapurna Vadaparty, Daniel Zingaro, David H. Smith IV, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter   +6 more
openaire   +2 more sources

Fomin-Greene monoids and Pieri operations [PDF]

, 2013
We explore monoids generated by operators on certain infinite partial orders. Our starting point is the work of Fomin and Greene on monoids satisfying the relations $(\u{r}+\u{r+1})\u{r+1}\u{r}=\u{r+1}\u{r}(\u{r}+\u{r+1})$ and $\u{r}\u{t}=\u{s}\u{r}$ if $
Benedetti, Carolina, Bergeron, Nantel
core   +1 more source

LLM Critics Help Catch LLM Bugs

Reinforcement learning from human feedback (RLHF) is fundamentally limited by the capacity of humans to correctly evaluate model output. To improve human evaluation ability and overcome that limitation this work trains "critic" models that help humans to more accurately evaluate model-written code. These critics are themselves LLMs trained with RLHF to
McAleese, Nat, Pokorny, Rai Michael, Uribe, Juan Felipe Ceron, Nitishinskaya, Evgenia, Trebacz, Maja, Leike, Jan   +5 more
openaire   +2 more sources

Large Language Models in Generating Differential Diagnoses in the Emergency Department: A Comparative Study of ChatGPT, Copilot, and Emergency Physician

Eurasian Journal of Emergency Medicine
Aim: Accurate diagnosis in emergency departments relies heavily on clinical decision-making, yet cognitive errors contribute to a significant proportion of diagnostic mistakes.
Banu Arslan, Büşra Erdem, Merve Osoydan Satıcı, Çağatay Nuhoğlu, Hasan Yasin Soylu   +4 more
doaj   +1 more source