Improvement of Large Language Model with Applied Mathematics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 58
Special Issue Editor
Interests: computer vision; artificial intelligence; intelligent system; large language model
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Large language models (LLMs) have developed rapidly in recent years, demonstrating significant general capabilities across various domains. For example, LLMs have become a research hotspot in the domain knowledge of question answering (QA); multimodal LLMs have shown strong ability in motion recognition. However, issues such as response instability and hallucination caused by cognitive biases and knowledge deficiencies hindering the widespread application of LLMs.
Thus, this Special Issue is proposed to find a way to use applied mathematics, including probability theory, mathematical statistics, combinatorics, and set theory, which can enhance LLMs’ response stability and mitigate the hallucination phenomenon, which can release LLMs’ potential for future applications in industry.
Therefore, this Special Issue aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies on applied mathematics in LLMs, as well as novel engineering applications.
Prof. Dr. Shuai Liu
Guest Editor
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Keywords
- LLM
- mathematical analysis
- response instability
- knowledge hallucination
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