Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

“…Implementing solutions based on these technologies involves critical factors which influence the pursuit of approaches aligning with humanitarian interests. …”
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LLM in the Loop: A Framework for Contextualizing Counterfactual Segment Perturbations in Point Clouds by Veljka Kocic, Niko Lukac, Dzemail Rozajac, Stefan Schweng, Christoph Gollob, Arne Nothdurft, Karl Stampfer, Javier del Ser, Andreas Holzinger

“…Yet, despite these advancements, key challenges remain, particularly in optimizing segment perturbations to influence model outcomes in a controlled and meaningful way. …”
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Survey and Evaluation of Converging Architecture in LLMs Based on Footsteps of Operations by Seongho Kim, Jihyun Moon, Juntaek Oh, Insu Choi, Joon-Sung Yang

“…The insights distilled from this analysis guide the optimization of performance and efficiency within these converged LLM architectures, thereby extending their applicability across a broader range of environments.…”
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Exploring the Joint Influence of Built Environment Factors on Urban Rail Transit Peak-Hour Ridership Using DeepSeek by Zhuorui Wang, Xiaoyu Zheng, Fanyun Meng, Kang Wang, Xincheng Wu, Dexin Yu

“…This study introduces an LLM-based framework to examine how built environment factors and station characteristics shape the transit ridership dynamics by utilizing DeepSeek-R1. …”
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Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification by Yu-Yang Li, Yu Bai, Cunshi Wang, Mengwei Qu, Ziteng Lu, Roberto Soria, Jifeng Liu

“…We unveil StarWhisper LightCurve (LC), a series of 3 LLM models based on an LLM, a multimodal large language model (MLLM), and a large audio language model (LALM). …”
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Impact of Developer Queries on the Effectiveness of Conversational Large Language Models in Programming by Viktor Taneski, Sašo Karakatič, Patrik Rek, Gregor Jošt

“…This study investigates the effects of LLM-based coding assistance on web application development by students using a frontend framework. …”
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Engineering Students’ Use of Large Language Model Tools: An Empirical Study Based on a Survey of Students from 12 Universities by Ruimiao Li, Manli Li, Weifeng Qiao

“…These results underscore the need for targeted support to address regional and demographic disparities and optimize LLM tool integration in engineering education.…”
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Exploring a long short-term memory for mountain flood forecasting based on watershed-internal knowledge graph and large language model. by Songsong Wang, Ouguan Xu

“…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…”
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Achieve sustainable operation of agricultural enterprises: improving agribusiness performance through digital transformation by Yue Yuan, Hui Wu, Yang Shen

“…To enhance text mining accuracy, the research incorporates natural language processing (NLP) and large language models (LLM).ResultsThe findings indicate that DT within agricultural enterprises’ production, purchasing, and sales departments significantly enhances FP. …”
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AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

“…The performance and long-term health of athletes are significantly influenced by their cardiovascular resilience and associated risk factors. …”
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