[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4
KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
Data augmentation using llms: Data perspectives, learning paradigms and challenges
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …
emerged as a pivotal technique for enhancing model performance by diversifying training …
User modeling in the era of large language models: Current research and future directions
User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …
the characteristics of a specific user, such as profile, preference, and personality. The user …
On evaluation protocols for data augmentation in a limited data scenario
F Piedboeuf, P Langlais - … of the 31st International Conference on …, 2025 - aclanthology.org
Textual data augmentation (DA) is a prolific field of study where novel techniques to create
artificial data are regularly proposed, and that has demonstrated great efficiency on small …
artificial data are regularly proposed, and that has demonstrated great efficiency on small …
Sinkt: A structure-aware inductive knowledge tracing model with large language model
Knowledge Tracing (KT) aims to determine whether students will respond correctly to the
next question, which is a crucial task in intelligent tutoring systems (ITS). In educational KT …
next question, which is a crucial task in intelligent tutoring systems (ITS). In educational KT …
Data Augmentation is Dead, Long Live Data Augmentation
F Piedboeuf, P Langlais - arXiv preprint arXiv:2402.14895, 2024 - arxiv.org
Textual data augmentation (DA) is a prolific field of study where novel techniques to create
artificial data are regularly proposed, and that has demonstrated great efficiency on small …
artificial data are regularly proposed, and that has demonstrated great efficiency on small …
Enhancing natural language inference performance with knowledge graph for COVID-19 automated fact-checking in Indonesian language
AP Muharram, A Purwarianti - arXiv preprint arXiv:2409.00061, 2024 - arxiv.org
Automated fact-checking is a key strategy to overcome the spread of COVID-19
misinformation on the internet. These systems typically leverage deep learning approaches …
misinformation on the internet. These systems typically leverage deep learning approaches …
[HTML][HTML] A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform
I Zakarija, F Škopljanac-Mačina, H Marušić… - Applied Sciences, 2024 - mdpi.com
Emerging research indicates that sentiment analyses of Dubrovnik focus mainly on hotel
accommodations and restaurants. However, little attention has been paid to attractions, even …
accommodations and restaurants. However, little attention has been paid to attractions, even …
Generate then Refine: Data Augmentation for Zero-shot Intent Detection
IF Lin, F Hasibi, S Verberne - arXiv preprint arXiv:2410.01953, 2024 - arxiv.org
In this short paper we propose a data augmentation method for intent detection in zero-
resource domains. Existing data augmentation methods rely on few labelled examples for …
resource domains. Existing data augmentation methods rely on few labelled examples for …
CHINA'S STRATEGIC NARRATIVES IN RELATIONS WITH THE US, THE EU, AND THE RF
S FEDONIUK, N KARPCHUK… - Balkan Social Science …, 2024 - js.ugd.edu.mk
This article provides an analysis of the Xi Jinping'statements regarding China's relations with
the United States of America, the Russian Federation, and the European Union in the period …
the United States of America, the Russian Federation, and the European Union in the period …