Scientific large language models: A survey on biological & chemical domains

Q Zhang, K Ding, T Lv, X Wang, Q Yin, Y Zhang… - ACM Computing …, 2024 - dl.acm.org
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

Exploring Language Model Generalization in Low-Resource Extractive QA

S Sengupta, W Yin, P Nakov, S Ghosh… - arxiv preprint arxiv …, 2024 - arxiv.org
In this paper, we investigate Extractive Question Answering (EQA) with Large Language
Models (LLMs) under domain drift, ie, can LLMs generalize well to closed-domains that …

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Y Huang, R Zhang, X He, X Zhi, H Wang, X Li… - arxiv preprint arxiv …, 2024 - arxiv.org
There is a growing interest in the role that LLMs play in chemistry which lead to an increased
focus on the development of LLMs benchmarks tailored to chemical domains to assess the …

Ethical recommendations for Artificial Intelligence technology in the Geological Sciences-with a focus on Language Models

PH Cleverley - Journal of Geoethics and Social Geosciences, 2024 - journalofgeoethics.eu
Artificial Intelligence (AI) offers many opportunities for the geosciences to improve
productivity, reduce uncertainty in models and stimulate discovery of new knowledge. There …

Discovering Research Areas in Dataset Applications through Knowledge Graphs and Large Language Models

I Gerasimov, A Mehrabian, KC Binita… - 2024 IEEE 20th …, 2024 - ieeexplore.ieee.org
Scientific datasets are increasingly cited in peer-reviewed journal publications, facilitating
easy access to research utilizing those datasets. Datasets undergo a life cycle where older …