Results 11 to 20 of about 24,796,113 (356)
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct [PDF]
International Conference on Learning Representations, 2023 Large language models (LLMs), such as GPT-4, have shown remarkable performance in natural language processing (NLP) tasks, including challenging mathematical reasoning.
Haipeng Luo +9 more
semanticscholar +1 more source
Drug Carriers: A Review on the Most Used Mathematical Models for Drug Release
Processes, 2022 Carriers are protective transporters of drugs to target cells, facilitating therapy under each points of view, such as fast healing, reducing infective phenomena, and curing illnesses while avoiding side effects.
P. Trucillo
semanticscholar +1 more source
Classical mathematical models for prediction of response to chemotherapy and immunotherapy
bioRxiv, 2021 Classical mathematical models of tumor growth have shaped our understanding of cancer and have broad practical implications for treatment scheduling and dosage.
Narmin Ghaffari Laleh +9 more
semanticscholar +1 more source
Mathematical models of neuronal growth
Biomechanics and Modeling in Mechanobiology, 2022 The establishment of a functioning neuronal network is a crucial step in neural development. During this process, neurons extend neurites—axons and dendrites—to meet other neurons and interconnect.
H. Oliveri, A. Goriely
semanticscholar +1 more source
MathPrompter: Mathematical Reasoning using Large Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Large Language Models (LLMs) have limited performance when solving arithmetic reasoning tasks and often provide incorrect answers. Unlike natural language understanding, math problems typically have a single correct answer, making the task of generating ...
Shima Imani, Liang Du, H. Shrivastava
semanticscholar +1 more source
Mathematical Models for Predicting Covid-19 Pandemic: A Review
, 2021 The catastrophic outbreak of the Novel Corona virus (Covid-19) has brought to light, the significance of reliable predictive mathematical models. The results from such models greatly affect the use of non-pharmaceutical intervention measures, management ...
Vishnu Vytla +4 more
semanticscholar +1 more source
Mathematical discoveries from program search with large language models
Nature, 2023 Large language models (LLMs) have demonstrated tremendous capabilities in solving complex tasks, from quantitative reasoning to understanding natural language.
Bernardino Romera-Paredes +16 more
semanticscholar +1 more source
Mathematical Models for COVID-19 Pandemic: A Comparative Analysis
Journal of the Indian Institute of Science, 2020 COVID-19 pandemic represents an unprecedented global health crisis in the last 100 years. Its economic, social and health impact continues to grow and is likely to end up as one of the worst global disasters since the 1918 pandemic and the World Wars ...
A. Adiga +5 more
semanticscholar +1 more source
Mathematical models to guide pandemic response
Science, 2020 Models can be used to learn from the past and prepare for the future The ongoing coronavirus disease 2019 (COVID-19) pandemic has put mathematical models in the spotlight. As the theoretical biologist Robert May wrote: “the virtue of a mathematical model.
J. Metcalf +2 more
semanticscholar +1 more source
Mathematical models as public troubles in COVID-19 infection control: following the numbers
Health Sociology Review, 2020 Mathematical models are key actors in policy and public responses to the COVID-19 pandemic. The projections from COVID-19 models travel beyond science into policy decisions and social life. Treating models as ‘boundary objects’, and focusing on media and
T. Rhodes, K. Lancaster
semanticscholar +1 more source