NUMERICAL MODELING OF SWASH ZONE MORPHOLOGICAL PROCESSES IN COARSE-GRAINED BEACHES WITH XBEACH OPEN-SOURCE MODEL by S. Maleki Taghiabad, M. Adjami, A. Ahmadi

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ZEN-garden: Optimizing energy transition pathways with user-oriented data handling by Jacob Mannhardt, Alissa Ganter, Johannes Burger, Francesco De Marco, Lukas Kunz, Lukas Schmidt-Engelbertz, Paolo Gabrielli, Giovanni Sansavini

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Efficient anomaly detection in tabular cybersecurity data using large language models by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang, Yanqiong Liu

“…This method addresses a critical gap in research on anomaly detection in cybersecurity, specifically using small-scale open-source models.…”
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Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…Throughout the paper, we numerically demonstrate the effectiveness of our methods on real datasets for hate speech classification and product quality assessment, using open-source models like LLaMA and Mistral and closed-source models like ChatGPT. …”
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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study by William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju

“…ResultsAmong the selected models, GPT-4o performed the best at determining the root causes of DDEs, predicting only 12.9% of root causes incorrectly (hamming loss). Among the open-source models tested, BART demonstrated the best performance in detecting DDEs, achieving an F1-score of 0.86, a false positive rate of 2.8%, and a false negative rate of 6.5%, all without any fine-tuning. …”
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