CDGFD: Cross-Domain Generalization in Ethnic Fashion Design Using LLMs and GANs: A Symbolic and Geometric Approach by Meizhen Deng, Ling Chen

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基于ChatGLM急性缺血性卒中大血管闭塞的识别与诊断 Identification and Diagnosis of Large Vessel Occlusion in Acute Ischemic Stroke Based on ChatGLM by 宋晓微1，尹伟2，李佳褀3，魏宸铭1，王玥明1，邳靖陶1，陈乐1，高策舒1，马为之3，武剑1，4 (SONG Xiaowei1, YIN Wei2, LI Jiaqi3, WEI Chenming1, WANG Yueming1, PI Jingtao1, CHEN Le1, GAO Ceshu1, MA Weizhi3, WU Jian1,4 )

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A systematic evaluation of GPT-4V's multimodal capability for chest X-ray image analysis by Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou

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Pic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations by Yosua Setyawan Soekamto, Andreas Lim, Leonard Christopher Limanjaya, Yoshua Kaleb Purwanto, Suk-Ho Lee, Dae-Ki Kang

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Tracing the evolution of ancient Chinese military science through classical texts by Mengcheng Wu, Dongbo Wang

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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

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Research and Application of a Multi-Agent-Based Intelligent Mine Gas State Decision-Making System by Yi Sun, Xinke Liu

Subjects: “…large language models…”
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Contextualization of Information Objects Towards Supporting Knowledge Management in Digital Workspaces by Mara Romanovska, Ilze Birzniece, Signe Balina

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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

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Robustness of Big Language Modeling in Finance by Yao Mohan

“…Therefore, investigating the robustness of large language models in finance is the main topic of this article, and searches the literature using the keywords “large language model”, “adversarial attack”, “model illusion”, etc. in recent years. …”
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Campus question-answering system based on intent recognition and retrieval-augmented generation by TANG Bowen, MA Mingxuan, ZHANG Yining, LI Hourun, WEN Feifan, WANG Dabin, YANG Jia, MA Hao

“…Experimental results indicate that the open-source large language model, after instruction tuning, achieves intent recognition accuracy that is comparable to or even surpasses that of closed-source models.…”
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Vectors of Violence: Legitimation and Distribution of State Power in the _People’s Liberation Army Daily_ (_Jiefangjun Bao_), 1956-1989 by Aaron Gilkison, Maciej Kurzynski

“…We also use a large language model to show how the journal distributes violent sentiments to international topics in times of domestic turmoil.…”
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PhishingAgent: an agentic workflow method for advanced phishing email detection by JIN Jiandong, HUANG Zheng, HU Zhanyu, ZOU Yuanxin, QIN Huidong, LAI Qingnan, YANG Jia, ZHOU Changling

“…PhishingAgent integrated multi-source knowledge bases and security tools to fully leverage the reasoning capabilities of large language model (LLM), enhancing the precision and depth of identifying complex phishing email attacks. …”
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Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English by Minab Shokoufeh Salem, Nazaruka Erika

“…The prominent technologies for implementation of the proposed method are machine learning, including classification algorithms and natural language processing using a large language model. The first experimental results are presented, and further research is discussed. …”
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Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods by Lisa M Gandy, Lana V Ivanitskaya, Leeza L Bacon, Rodina Bizri-Baryak

“…A general-purpose large language model, ChatGPT 4.0, has yet to surpass the performance of NLP models, at least for unbalanced datasets with highly prevalent (7:1) negative comments.…”
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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…An extreme Gradient Boosting Tree (XGBoost) is used to integrate word vectors and a Large Language Model (LLM) to construct a sentiment recognition model, and finally, a review sentiment index is derived, which unfolds from multiple dimensions to analyze the sentiment tendency in consumer reviews. …”
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The advantages of lexicon-based sentiment analysis in an age of machine learning. by A Maurits van der Veen, Erik Bleich

“…Compared to machine learning and large language model (LLM) approaches, lexicon-based methods may sacrifice some in performance, but in exchange they provide generalizability and domain independence, while crucially offering the possibility of identifying gradations in sentiment. …”
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Deep neural networks and humans both benefit from compositional language structure by Lukas Galke, Yoav Ram, Limor Raviv

“…We evaluate the memorization and generalization capabilities of a large language model and recurrent neural networks, and show that both deep neural networks exhibit a learnability advantage for more structured linguistic input: neural networks exposed to more compositional languages show more systematic generalization, greater agreement between different agents, and greater similarity to human learners.…”
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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

“…This study explores fine-tuning the LLaMA-8B large language model based on the Amazon Product Reviews dataset from Kaggle, aiming to improve sentiment classification accuracy. …”
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Evaluating the effectiveness of prompt engineering for knowledge graph question answering by Catherine Kosten, Farhad Nooralahzadeh, Kurt Stockinger

“…Many different methods for prompting large language models have been developed since the emergence of OpenAI's ChatGPT in November 2022. …”
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