Impact of model size on fine-tuned llm performance in data-to-text generation: A state-of-the-art investigation

J Mahapatra, U Garain - arXiv preprint arXiv:2407.14088, 2024 - arxiv.org
Data-to-text (D2T) generation aims to generate human-readable text from semi-structured
data, such as tables and graphs. The recent success of D2T is largely attributed to …

From Words to Worlds: Compositionality for Cognitive Architectures

R Dhar, A Søgaard - arXiv preprint arXiv:2407.13419, 2024 - arxiv.org
Large language models (LLMs) are very performant connectionist systems, but do they
exhibit more compositionality? More importantly, is that part of why they perform so well? We …

The Effectiveness of the CIRC Model for Students with SPLDV Material" Story Problems" at the Integrated MTs Nurul Qodiri Lempuyang Bandar

AK Asrori, C Choirudin, MS Anwar - Assyfa Journal of …, 2023 - journal.assyfa.com
The acquisition study results show students' ability to solve word problems. Besides That is
it, you can also see How the student finishes about that until you find the correct answer …

Uncertainty Estimation on Natural Language Processing

J He - 2024 - vtechworks.lib.vt.edu
Text plays a pivotal role in our daily lives, encompassing various forms such as social media
posts, news articles, books, reports, and more. Consequently, Natural Language Processing …