Volume 2, Issue 2 (2025) | Academic Journal of Natural Science

Current Issue

All articles published in this issue have undergone a thorough peer review process, and stringent checks for repetition rates have been implemented to ensure the integrity of the content.

Total number of articles in this issue: 4
Total number of pages in this issue: 34

For inquiries regarding the content of specific articles, please feel free to contact the respective authors via their provided email addresses. For questions related to the journal itself, please reach out directly to SUAS Press.

Year

2025

Volume

Number

Status

Archived

Published

2025 April 15

Articles

OPEN ACCESS |Research Article ||15 April 2025

Cross-modal Contrastive Learning for Robust Visual Representation in Dynamic Environmental Conditions

10.70393/616a6e73.323833

ark:/40704/AJNS.v2n2a04

Authors: Xuzhong Jia;Chenyu Hu;Guancong Jia.
Abstract: This paper proposes a novel cross-modal contrastive learning framework for robust visual representation under dynamic environmental conditions. We address the challenge of maintaining consistent perfo ...

Disciplines: Information Science Subjects: Information Retrieval References: 33

OPEN ACCESS |Review Article ||15 April 2025

A Technical Review of Sequence-to-Sequence Models

10.70393/616a6e73.323834

ark:/40704/AJNS.v2n2a01

Authors: Tao Bo;Weiyi Li;Yue Liu.
Abstract: Seq2Seq models and their variants have become a mainstay of modern natural language processing and sequence modelling tasks. Just Information about Seq2Seq models. In this paper, we provide a comprehe ...

Disciplines: Computer Science Subjects: Artificial Intelligence References: 25

OPEN ACCESS |Research Article ||15 April 2025

Research on Text Classification Methods Based on Decision Trees: A Case Study on the Recognition of the Entity Category 'Position'

10.70393/616a6e73.323835

ark:/40704/AJNS.v2n2a02

Authors: Qiming Xing;Yankuan Wang.
Abstract: This paper investigates the application of a decision tree model for the binary classification task of the 'Position' category on the CLUENER2020 dataset, aiming to provide a lightweight and efficient ...

Disciplines: Computer Science Subjects: Data Science References: 14

OPEN ACCESS |Research Article ||15 April 2025

Data Contamination or Genuine Generalization? Disentangling LLM Performance on Benchmarks

10.70393/616a6e73.323836

ark:/40704/AJNS.v2n2a03

Authors: Yui Ishikawa.
Abstract: Large language models (LLMs) achieve high benchmark performance, but whether this stems from genuine generalization or data contamination remains unclear. This paper proposes a three-tier framework to ...

Disciplines: Computer Science Subjects: Artificial Intelligence References: 38

Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.
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