A comprehensive survey of scientific large language models and their applications in scientific discovery

Y Zhang, X Chen, B **, S Wang, S Ji, W Wang… - ar** the scientific news landscape
M Gruppi, P Smeros, S Adalı, C Castillo… - Proceedings of the …, 2023 - ojs.aaai.org
The COVID-19 pandemic has fueled the spread of misinformation on social media and the
Web as a whole. The phenomenon dubbedinfodemic'has taken the challenges of …

Truth or dare: Investigating claims truthfulness with claimskg

S Gangopadhyay, K Boland… - D2R2 2023-2nd …, 2023 - imt-mines-ales.hal.science
Searching and exploring online information is fundamental for our society. However, it is
common to find inaccurate information on the Internet, that can quickly spread and be hard …

SciTweets-a dataset and annotation framework for detecting scientific online discourse

S Hafid, S Schellhammer, S Bringay… - Proceedings of the 31st …, 2022 - dl.acm.org
Scientific topics, claims and resources are increasingly debated as part of online discourse,
where prominent examples include discourse related to COVID-19 or climate change. This …

MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions

Y Gao, J Prada, N Gu, J Lam… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) produce eloquent texts but often the content they generate
needs to be verified. Traditional information retrieval systems can assist with this task, but …