Knowledge Graph-Based In-Context Learning for Advanced Fault Diagnosis in Sensor Networks by Xin Xie, Junbo Wang, Yu Han, Wenjuan Li

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Nanophotonic device design based on large language models: multilayer and metasurface examples by Kim Myungjoon, Park Hyeonjin, Shin Jonghwa

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AI Veterinary Assistance: Enhancing Clinical Decision-Making in Animal Healthcare by Youn-Gyu Jin, Guixin Wu, Ju-Won Seo, Seong-Jin Park, Sung-Ho Hur, Dinara Aliyeva, Jun-Hyung Park, Kang-Min Kim

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning by Jiahao Zhang, Bowen Wang, Hong Liu, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

Subjects: “…visual in-context learning…”
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Outcome-Based Teacher Education: A New Era in Teacher Preparation by Soumen Ghosh, C. Siva Sankar

Subjects: “…21st-century context Learning Outcome OBTE Paradigm shift Teacher Education…”
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R-AFPN: a residual asymptotic feature pyramid network for UAV aerial photography of small targets by Zuowen Chen, Yahong Ma, Zi’an Gong, Minghao Cao, Yuyao Yang, Zhiyuan Wang, Tengjie Wang, Jing Li, Yuxi Liu

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A large language model based pipeline for extracting information from patient complaint and anamnesis in clinical notes for severity assessment by Hui Gao, Kaipeng Wang, Yuan Yuan, Yueguo Wang, Qingyuan Liu, Yulan Wang, Jian Sun, Wenwen Wang, Huanli Wang, Shusheng Zhou, Kui Jin, Mengping Zhang, Yinglei Lai

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PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models by Ripan Kumar Kundu, Khurram Khalil, Eric Garcia, Ethan Grassia, Prasad Calyam, Khaza Anuarul Hoque

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Improving drug-drug interaction prediction via in-context learning and judging with large language models by He Qi, He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao, Tianyi Zhao

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Optimizing Large Railway Vision Models for Efficient In-Context Learning by Xuemei Zhan, Xubo Wu, Hua Ma

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GPT-4o in radiology: In-context learning based automatic generation of radiology impressions by Mohammed Mahyoub, Yong Wang, Mohammad T. Khasawneh

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Evaluating ChatGPT-4o for ophthalmic image interpretation: From in-context learning to code-free clinical tool generation by Joon Yul Choi, Tae Keun Yoo

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Cross-Lingual Summarization for Low-Resource Languages Using Multilingual Retrieval-Based In-Context Learning by Gyutae Park, Jeonghyun Park, Hwanhee Lee

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Can LLMs effectively assist medical coding? Evaluating GPT performance on DRG and targeted clinical tasks by Yeli Feng

Subjects: “…Many-shot in-context learning…”
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Cross-Dataset Analysis of Language Models for Generalised Multi-label Review Note Distribution in Animated Productions by Diego Garcés, Matilde Santos, David Fernández-Llorca

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ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations by Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta

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Advancing Multimodal Large Language Models: Optimizing Prompt Engineering Strategies for Enhanced Performance by Minjun Son, Sungjin Lee

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Optimizing translation for low-resource languages: Efficient fine-tuning with custom prompt engineering in large language models by Pitso Walter Khoboko, Vukosi Marivate, Joseph Sefara

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In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning by Azza Mohamed, Mohamed El Rashid, Khaled Shaalan

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