Evolving code with a large language model by Hemberg, Erik, Moskal, Stephen, O’Reilly, Una-May

“…Algorithms that use Large Language Models (LLMs) to evolve code arrived on the Genetic Programming (GP) scene very recently. …”
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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…This thesis investigates the positional and contextual bias of large language models (LLMs) when used to answer multiple-choice questions (MCQs). …”
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Pelajar antarabangsa UMPSA teruja tonton filem ‘Mereka Yang Tertewas’ mengangkat keunikan negeri Pahang by Jamilah Bebe, Mohamad

“…Osman bersama-sama dengan Exco Komunikasi dan Multimedia, Belia Sukan dan Badan-badan bukan Kerajaan Negeri Pahang, Yang Berhormat Fadzli Mohamad Kamal di pawagam Golden Screen Kuantan City Mall melalui program Tonton Santai.…”
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Report on industrial orientation with Environmental Resources Management Pte Ltd (ERM) by Heng, Ming Xuan

“…Learning includes understanding the Environmental Baseline Study (EBS), ESA guidelines for State Land in Singapore, Environmental Health and Safety (EHS) guidelines for onshore and offshore gas and oil development, International Financial Corporation (IFC) guidelines for various environmental parameters, Singapore EHS legislation, and various research works amongst the many learning. …”
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Mallet: SQL Dialect Translation with LLM Rule Generation by Ngom, Amadou Latyr, Kraska, Tim

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Large Language Objects: The Design of Physical AI and Generative Experiences by Coelho, Marcelo, Labrune, Jean-Baptiste

“…Large language models (LLMs) have shown an unprecedented ability to generate text, images, and code, surpassing in many ways our own human capabilities and promising to have a profound impact on design and creativity. …”
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Developing intelligent chatbots powered by large language models by Ng, Kai Teck

“…This project centers on developing a system to assess the effectiveness of Large Language Models (LLMs) in augmenting the intelligence of chatbots for e-commerce sellers. …”
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Seroprevalence of antibodies to hepatitis E virus in the normal blood donor population and two aboriginal communities in Malaysia by Seow, Heng-Fong, Bali Mahomed, Nizam Malik, Mak, Joon-Wah, Riddell, Michaela A., Li, Fan, Anderson, David A.

“…The distribution of sample ELISA reactivities was also consistent with ongoing sporadic infection in the aboriginal communities, while there was no significant relationship between HEV exposure and age, sex, or malaria infection. …”
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In vitro and in silico studies of Lawsone on inflammation-induced skin cells for development of skin anti-inflammatory treatment by Abdullah, Shazleen Sofea, Mohammad Latif, Muhammad Alif, Md Tohid, Siti Farah

“…Lawsone exhibited significant anti-inflammatory effect on inflammation induced A431 epidermoid cells. ELISA results were not as expected as compared to previous in silico study, but an anti-inflammatory pattern can be observed in the chronic ethanol-induced treatment groups. …”
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Enabling Perspective-Aware Ai with Contextual Scene Graph Generation by Platnick, Daniel, Alirezaie, Marjan, Rahnama, Hossein

“…We evaluated PASGG-LM pipelines using state-of-the-art SGG models, including Motifs, Motifs-TDE, and RelTR, and showed that fine-tuning LLMs, particularly GPT-4o-mini and Llama-3.1-8B, improves performance in terms of R@K, mR@K, and mAP. …”
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PromptChart: prompting InstructGPT for zero & few-shot chart question answering and summarization by Do, Xuan Long

“…Meanwhile, large language models (LLMs) such as InstructGPT have demonstrated strong capabilities to solve target tasks by conditioning on few-shot prompts. …”
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Developing a graphene Q&A chatbot using retrieval augmented generation (RAG) by Sara Johari

“…This experimental study tested the use of UMAP visualizations to determine the optimal chunk size and overlap. Subsequently, two LLMs, the DRAGON Deci-7B LLM and the DRAGON Mistral-7B LLM, were tested within a RAG question-answering chatbot architecture. …”
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Towards explainable and semantically coherent claim extraction for an automated fact-checker by Yoswara, Jocelyn Valencia

“…Although Automatic Fact-Checkers and LLMs like ChatGPT have become popular and seem to be a promising solution to detect fake news, these models still have some limitations regarding their reliance on pre-existing knowledge, and concerns are raised about whether they can differentiate between truth and falsehood. …”
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Prevalence of West Nile virus in domesticated mammals (cattle, goat, horse and pig) in selected areas of Peninsular Malaysia by Mohammed, Mohammed Nma

“…The serum samples were screened for WNV IgG using a competitive ELISA (c- ELISA) kit (ID VET, France), and for Japanese encephalitis virus (JEV) IgG using double-antibody sandwich ELISA kit (Sunred, China). …”
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From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models by Englhardt, Zachary, Ma, Chengqian, Morris, Margaret E., Chang, Chun-Cheng, Xu, Xuhai "Orson", Qin, Lianhui, McDuff, Daniel, Liu, Xin, Patel, Shwetak, Iyer, Vikram

“…To address these challenges, we pioneer the exploration of large language models (LLMs) to synthesize clinically relevant insights from multi-sensor data. …”
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Faster Feedback with AI? A Test Prioritization Study by Mattis, Toni, B?hme, Lukas, Krebs, Eva, Rinard, Martin C., Hirschfeld, Robert

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Clinical Question-Answering over Distributed EHR Data by Jiang, Emily

“…LLMs using RAG can answer questions about patient records without training on privacy-sensitive data; updated records can also be queried immediately without finetuning. …”
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MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models by Thao, Phan Nguyen Minh, Dao, Cong-Tinh, Wu, Chenwei, Wang, Jian-Zhe, Liu, Shun, Ding, Jun-En, Restrepo, David, Liu, Feng, Hung, Fang-Ming, Peng, Wen-Chih

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AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy by Schoenegger, Philipp, Park, Peter, Karger, Ezra, Trott, Sean, Tetlock, Philip

“…Large language models (LLMs) match and sometimes exceed human performance in many domains. …”
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Sentiment analysis and topic modelling of 2024 U.S. and Indonesian election tweets: a study of political discourse and public opinion by Widawati, Elisia Brispalma

“…These findings underscore the importance of combining advanced LLMs and topic modelling techniques with forecasting to provide a nuanced understanding of public sentiment and discourse and inform future research and applications in these areas.…”
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