Artificial intelligence and illusions of understanding in scientific research

L Messeri, MJ Crockett - Nature, 2024‏ - nature.com
Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might
improve research. Why are AI tools so attractive and what are the risks of implementing them …

A guide to artificial intelligence for cancer researchers

R Perez-Lopez, N Ghaffari Laleh, F Mahmood… - Nature Reviews …, 2024‏ - nature.com
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …

Generative AI enhances individual creativity but reduces the collective diversity of novel content

AR Doshi, OP Hauser - Science Advances, 2024‏ - science.org
Creativity is core to being human. Generative artificial intelligence (AI)—including powerful
large language models (LLMs)—holds promise for humans to be more creative by offering …

[PDF][PDF] Trustllm: Trustworthiness in large language models

L Sun, Y Huang, H Wang, S Wu, Q Zhang… - arxiv preprint arxiv …, 2024‏ - mosis.eecs.utk.edu
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Can large language models provide useful feedback on research papers? A large-scale empirical analysis

W Liang, Y Zhang, H Cao, B Wang, DY Ding, X Yang… - NEJM AI, 2024‏ - ai.nejm.org
Background Expert feedback lays the foundation of rigorous research. However, the rapid
growth of scholarly production challenges the conventional scientific feedback mechanisms …

Artificial intelligence for geoscience: Progress, challenges and perspectives

T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang… - The Innovation, 2024‏ - cell.com
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023‏ - researchgate.net
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

Large language models on graphs: A comprehensive survey

B **, G Liu, C Han, M Jiang, H Ji… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Self-driving laboratories for chemistry and materials science

G Tom, SP Schmid, SG Baird, Y Cao, K Darvish… - Chemical …, 2024‏ - ACS Publications
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu… - International …, 2024‏ - proceedings.mlr.press
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …