Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection by Francesco Cappio Borlino, Lorenzo Lu, Tatiana Tommasi

“…The rise of foundation models is pushing Computer Vision research towards a paradigm shift, in the wake of what already happened in the Natural Language Processing field. These models, trained at scale on huge data collections, provide high-quality representations that generalize well enough to be applied directly to downstream tasks, often outperforming task-specific models. …”
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Enhancing DNN Computational Efficiency via Decomposition and Approximation by Ori Schweitzer, Uri Weiser, Freddy Gabbay

“…Our simulation analysis, using a systolic array accelerator as a case study, indicates that DART can achieve more than 30% reduction in area and power, with an accuracy degradation of less than 1% in state-of-the-art DNNs in vision and natural language processing (NLP) tasks, compared to conventional processing elements (PEs) using 8-bit integer MAC units.…”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Natural Language Processing (NLP) plays a crucial role in analyzing Twitter data to introduce an automated HEXACO model. …”
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Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results by Pekka Santtila, Yongjie Sun, Kristjan Kask, Liisa Järvilehto, Jiaxing Xiu

“…Large Language Model (LLM), as an advanced natural language processing tool, has demonstrated excellent capabilities in both medical decision-making and assisted investigation. …”
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How much can we save by applying artificial intelligence in evidence synthesis? Results from a pragmatic review to quantify workload efficiencies and cost savings by Seye Abogunrin, Jeffrey M. Muir, Clarissa Zerbini, Grammati Sarri

“…Data on efficiencies (time- and cost-related) were collected.ResultsWe identified 25 eligible studies: 13 used machine learning, 10 used natural language processing, and once each used a systematic review automation tool and a non-specified AI tool. …”
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What Does “Palliative” Mean? Sentiment, Knowledge, and Public Perception Concerning Palliative Care on the Internet since the COVID-19 Pandemic by Joachim Peters, Maria Heckel, Eva Breindl, Christoph Ostgathe

“…Objectives: To identify long-term effects of the COVID-19 pandemic on the public perception of palliative care and palliative care-related misconceptions on the Internet (worldwide) through natural language processing (NLP). Design: Using large language model NLP analysis, we identified public attitudes, opinions, sentiment, and misconceptions about palliative care on the Internet, comparing a corpus of English-language web texts and X-posts (“tweets”) (02/2020–02/2022) with similar samples before (02/2018–02/2020) and after the pandemic (03/2022–02/2024). …”
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AI Chatbots for Psychological Health for Health Professionals: Scoping Review by Gumhee Baek, Chiyoung Cha, Jin-Hui Han

“…ResultsAmong the 10 studies, six chatbots were delivered via mobile platforms, and four via web-based platforms, all enabling one-on-one interactions. Natural language processing algorithms were used in six studies and cognitive behavioral therapy techniques were applied to psychological health in four studies. …”
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Entropy-Guided KV Caching for Efficient LLM Inference by Heekyum Kim, Yuchul Jung

“…Large language models (LLMs), built upon Transformer architectures, have demonstrated remarkable performance in a wide range of natural language processing tasks. However, their practical deployment—especially in long-context scenarios—is often hindered by the computational and memory costs associated with managing the key–value (KV) cache during inference. …”
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Mathematical features of semantic projections and word embeddings for automatic linguistic analysis by Pedro Fernández de Córdoba, Carlos A. Reyes Pérez, Enrique A. Sánchez Pérez

“…This limitation has motivated research into non-linear embeddings and alternative models that can better capture the complex and multifaceted nature of semantic relationships, offering a more flexible and accurate representation of meaning in natural language processing.…”
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BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo. by Hongliang Li, Bin Liu

“…In this study, we are seeking the semantics analysis techniques derived from the natural language processing (NLP) to comprehensively and accurately analyse the biological sequence similarities. 27 semantics analysis methods derived from NLP were introduced to analyse biological sequence similarities, bringing new concepts and techniques to biological sequence similarity analysis. …”
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A New Analysis of Web Customer Service Text Classification of Alexa Virtual Assistant Commands Using a Deep Learning Model by Seidakhmet Nurpatsha

“…Text classification, a significant subfield of Natural Language Processing (NLP), plays a vital role in managing and interpreting the ever-increasing volume of textual data generated by modern technology. …”
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A comprehensive dataset and neural network approach for named entity recognition in the Uzbek languageMendeley Data by Davlatyor Mengliev, Vladimir Barakhnin, Mukhriddin Eshkulov, Bahodir Ibragimov, Shohrux Madirimov

“…The proposed dataset and trained model contribute to the development of natural language processing in the Uzbek language. In addition, the authors also conducted an analysis of existing works, as well as a comparative analysis, which will help to identify the distinctive features and novelty of the proposed work. …”
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Artificial intelligence in CT diagnosis: Current status and future prospects for ear diseases by Ruowei Tang, Pengfei Zhao, Jia Li, Zhixiang Wang, Ning Xu, Zhenchang Wang

“…Furthermore, AI-driven natural language processing and large language models are revolutionizing the generation of radiology reports, providing accurate and standardized diagnostic information. …”
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Continuous multimodal data supply chain and expandable clinical decision support for oncology by Jee Suk Chang, Hyunwook Kim, Eun Sil Baek, Jeong Eun Choi, Joon Seok Lim, Jin Sung Kim, Sang Joon Shin

“…An Extract-Transform-Load (ETL) process with natural language processing transformed unstructured data, enabling survival analyses stratified by tumor stage, which revealed significant stage-dependent differences. …”
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Investigating Injury Outcomes of Horse-and-Buggy Crashes in Rural Michigan by Mining Crash Reports Using NLP and CNN Algorithms by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…The study employs the AlexNet convolutional neural network (CNN) to identify and extract horse-and-buggy crashes, analyzing (2020–2023) Michigan UD-10 rural crash reports. Natural Language Processing (NLP) techniques also identified primary risk factors from crash narratives, analyzing single-word patterns (“unigrams”) and sequences of three consecutive words (“trigrams”). …”
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Associations of prenatal nicotine exposure and the dopamine related genes ANKK1 and DRD2 to verbal language. by John D Eicher, Natalie R Powers, Kelly Cho, Laura L Miller, Kathryn L Mueller, Susan M Ring, J Bruce Tomblin, Jeffrey R Gruen

“…Our association of ANKK1/DRD2 further implicates the role of nicotine-related pathways and dopamine signaling in language processing, particularly in comprehension and phonological memory.…”
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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts by Enrique Orozco López, David Kaplan, Anna Linhoss

“…Abstract Transformer neural networks (TNNs) have caused a paradigm shift in deep learning domains like natural language processing, gathering immense interest due to their versatility in other fields such as time series forecasting (TSF). …”
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What do pseudowords tell us about word processing? An overview by Celia Martínez-Tomás, Celia Martínez-Tomás, Ana Baciero, Ana Baciero, Miguel Lázaro, José A. Hinojosa, José A. Hinojosa, José A. Hinojosa

“…By providing a focused synthesis of empirical findings, this article underscores the critical insights that research using pseudowords offers into the interconnected nature of cognitive mechanisms in language processing.…”
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AI in conjunctivitis research: assessing ChatGPT and DeepSeek for etiology, intervention, and citation integrity via hallucination rate analysis by Muhammad Hasnain, Khursheed Aurangzeb, Musaed Alhussein, Imran Ghani, Muhammad Hamza Mahmood

“…IntroductionThe advent of large language models and their applications have gained significant attention due to their strengths in natural language processing.MethodsIn this study, ChatGPT and DeepSeek are utilized as AI models to assist in diagnosis based on the responses generated to clinical questions. …”
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Mapping Machine Learning Trends in Chemistry Research using LLM with Multi-Turn Prompting by Andreo Yudertha, Riski Dwimalida Putri

“…The use of natural language processing (NLP) technology not only accelerates text data analysis but also enhances accuracy in understanding the content and context of scientific articles. …”
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