Relevant bibliographies by topics / Gemma Model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Gemma Model'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Gemma Model"

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C. Grassmann, Ana Clara, Juliana C. Feitosa, José Remo F. Brega, and Kelton A. P. da Costa. "Evaluation of Transformer-Based Large Language Models for Email Spam Detection Using BERT, Phi, and Gemma." Statistics, Optimization & Information Computing 13, no. 2 (2024): 459–73. https://doi.org/10.19139/soic-2310-5070-2267.

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In this paper, we study how LLMs based on the transformer architecture work and the possibility of adjusting these models to use only the body of email messages to classify them as spam or ham. The models studied are BERT, Gemma, and Phi. All of them underwent quantization stages, fine-tuning with a real dataset, and evaluation with metrics commonly used in binary classification problems. The Gemma model achieves over 99% accuracy in detecting spam, standing out as the best among the compared models.
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Goldenberg, Gemma. "Being curious." Nursery World 2023, no. 2 (2023): 22–23. http://dx.doi.org/10.12968/nuwa.2023.2.22.

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Colombo, Marco, Andrea De Santis, Bruce C. Hanson, and Michael Fairweather. "Prediction of Horizontal Gas–Liquid Segregated Flow Regimes with an All Flow Regime Multifluid Model." Processes 10, no. 5 (2022): 920. http://dx.doi.org/10.3390/pr10050920.

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The generalized multifluid modelling approach (GEMMA) has been developed to handle the multiplicity of flow regimes and the coexistence of interfaces of largely different scales in multiphase flows. The solver, based on the OpenFOAM reactingEulerFoam family of solvers, adds interface resolving-like capabilities to the multifluid solver in the cells occupied by large interfaces. In this paper, GEMMA is further developed to predict stratified and slug flow regimes in horizontal ducts. The suppression of the turbulence and the wall-like behaviour of large interfaces is modelled with an additional
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Reguzzoni, M., and D. Sampietro. "GEMMA: An Earth crustal model based on GOCE satellite data." International Journal of Applied Earth Observation and Geoinformation 35 (March 2015): 31–43. http://dx.doi.org/10.1016/j.jag.2014.04.002.

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BADUROWICZ, Marcin, Stanisław SKULIMOWSKI, and Maciej LASKOWSKI. "FEASIBILITY OF USING LOW-PARAMETER LOCAL LLMS IN ANSWERING QUESTIONS FROM ENTERPRISE KNOWLEDGE BASE." Applied Computer Science 20, no. 4 (2024): 175–91. https://doi.org/10.35784/acs-2024-46.

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This paper evaluates the feasibility of deploying locally-run Large Language Models (LLMs) for retrieval-augmented question answering (RAG-QA) over internal knowledge bases in small and medium enterprises (SMEs), with a focus on Polish-language datasets. The study benchmarks eight popular open-source and source-available LLMs, including Google’s Gemma-9B and Speakleash’s Bielik-11B, assessing their performance across closed, open, and detailed question types, with metrics for language quality, factual accuracy, response stability, and processing efficiency. The results highlight that desktop-c
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Zouidine, Mohamed, and Mohammed Khalil. "Large Language Models for Arabic Sentiment Analysis and Machine Translation." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 20737–42. https://doi.org/10.48084/etasr.9584.

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Large Language Models (LLMs) have recently demonstrated outstanding performance in a variety of Natural Language Processing (NLP) tasks. Although many LLMs have been developed, only a few models have been evaluated in the context of the Arabic language, with a significant focus on the ChatGPT model. This study assessed three LLMs on two Arabic NLP tasks: sentiment analysis and machine translation. The capabilities of LLaMA, Mixtral, and Gemma under zero- and few-shot learning were investigated, and their performance was compared against State-Of-The-Art (SOTA) models. The experimental results
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Olkov, Ilya, and Alexander Gavrilov. "Visual large language models for welding assessment." Vibroengineering Procedia 58 (May 15, 2025): 314–19. https://doi.org/10.21595/vp.2025.24983.

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This paper evaluates the effectiveness of visual large language models (LLMs) for weld defect identification, focusing on their potential utility for novice welders. Using the Gemma-3B, Gemma-27B and Qwen2.5-VL-32B models, we benchmark performance against a standardized weld defect dataset and compare against a most modern version of the more traditional YOLO architecture, YOLOv12. Results show the 27B model achieves 66.36 % recall and a lower precision of 46.10 %, while the 3B model demonstrates poor reliability at 35.05 % recall, comparable to the results of the YOLOv12. Meanwhile, Qwen2.5-V
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Batth, Rituraj, Andisheh Poormassalehgoo, Kritika Bhardwaj, Elżbieta Kaniecka, and Shino Goto-Yamada. "A Simple and Scalable Chopped-Thallus Transformation Method for Marchantia polymorpha." Plants 14, no. 4 (2025): 582. https://doi.org/10.3390/plants14040582.

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The liverwort Marchantia polymorpha has emerged as a valuable model for studying fundamental biological processes and the evolutionary history of land plants. Agrobacterium-mediated transformation is widely used for genetic modification of M. polymorpha using spores, thalli, and gemmae. While spores offer high transformation efficiency, they result in diverse genetic backgrounds due to sexual reproduction. Conversely, thallus- and gemma-based methods maintain genetic consistency but are impractical for large-scale applications. To address these limitations, we developed a novel chopped-thallus
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Pendyala, Vishnu S., Neha Bais Thakur, and Radhika Agarwal. "Explainable Use of Foundation Models for Job Hiring." Electronics 14, no. 14 (2025): 2787. https://doi.org/10.3390/electronics14142787.

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Automating candidate shortlisting is a non-trivial task that stands to benefit substantially from advances in artificial intelligence. We evaluate a suite of foundation models such as Llama 2, Llama 3, Mixtral, Gemma-2b, Gemma-7b, Phi-3 Small, Phi-3 Mini, Zephyr, and Mistral-7b for their ability to predict hiring outcomes in both zero-shot and few-shot settings. Using only features extracted from applicants’ submissions, these models, on average, achieved an AUC above 0.5 in zero-shot settings. Providing a few examples similar to the job applicants based on a nearest neighbor search improved t
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Casteni, Alessia, and Elena Felicani. "LA PEDAGOGIA LINGUISTICA NELLA PROPOSTA EDUCATIVA DI GEMMA HARASIM." Italiano LinguaDue 16, no. 1 (2024): 614–40. http://dx.doi.org/10.54103/2037-3597/23863.

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La voce di Gemma Harasim, maestra fiumana, si inserisce nel panorama delle proposte didattiche per l’insegnamento della lingua tra Ottocento e Novecento: nei contributi in rivista pubblicati sui «Nuovi Doveri» e nel volume Sull’insegnamento della lingua materna, stampato nel 1906, Harasim indica tra le pagine una via di formazione linguistica a partire dall’osservazione delle cose. Il contributo si propone di portare l’attenzione su un progetto didattico innovativo: l’autrice offre «modeste discussioni didattiche», spunti di riflessione e di applicazione per costruire un metodo per l’insegname
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Dissertations / Theses on the topic "Gemma Model"

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Labaune, Paule. "Comportement thermomécanique du sel gemme : Application au dimensionnement des cavités." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM035/document.

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Les cavités salines représentent une technique prometteuse de stockage massif d’énergie, notamment pour les énergies renouvelables dont la production est par nature intermittente et imprévisible. Historiquement utilisées pour le stockage saisonnier d’hydrocarbures (méthane, pétrole...), les cavités salines sont aujourd’hui sollicitées pour le stockage de nouveaux fluides (hydrogène, dioxyde de carbone...) avec des scenarii plus exigeants. Les méthodes de dimensionnement des cavités doivent être mises à jour pour répondre aux nouveaux défis de la transition énergétique.Cette thèse propose une n
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Labaune, Paule. "Comportement thermomécanique du sel gemme : Application au dimensionnement des cavités." Electronic Thesis or Diss., Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM035.

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Les cavités salines représentent une technique prometteuse de stockage massif d’énergie, notamment pour les énergies renouvelables dont la production est par nature intermittente et imprévisible. Historiquement utilisées pour le stockage saisonnier d’hydrocarbures (méthane, pétrole...), les cavités salines sont aujourd’hui sollicitées pour le stockage de nouveaux fluides (hydrogène, dioxyde de carbone...) avec des scenarii plus exigeants. Les méthodes de dimensionnement des cavités doivent être mises à jour pour répondre aux nouveaux défis de la transition énergétique.Cette thèse propose une n
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Creedon, Helen. "Use of genetically engineered mouse models in preclinical drug development." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15911.

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The paucity of well validated preclinical models is frequently cited as a contributing factor to the high attrition rates seen in clinical oncological trials. There remains a critical need to develop models which are accurately able to recapitulate the features of human disease. The aims of this study were to use genetically engineered mouse models (GEMMs) to explore the efficacy of novel treatment strategies in HER2 positive breast cancer and to further develop the model to facilitate the study of mechanisms underpinning drug resistance. Using the BLG--HER2KI-PTEN+/- model, we demonstrated th
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Azevedo-Pouly, Ana Clara P. "Biological functions of microRNA-216 and microRNA-217 during the development of pancreatic cancer." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374244806.

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"Engineering a Three Dimensional Micropatterned Tumor Model for Breast Cancer Cell Migration Studies." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.35977.

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abstract: Breast cancer cell invasion is a highly orchestrated process driven by a myriad of complex microenvironmental stimuli. These complexities make it difficult to isolate and assess the effects of specific parameters including matrix stiffness and tumor architecture on disease progression. In this regard, morphologically accurate tumor models are becoming instrumental to perform fundamental studies on cancer cell invasion within well-controlled conditions. In this study, the use of photocrosslinkable hydrogels and a novel, two-step photolithography technique was explored to microengineer
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Books on the topic "Gemma Model"

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Surjono, Gunanto. Peranan modal sosial dalam rekonstruksi korban gempa bumi. Citra Media, 2006.

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Institut Teknologi Bandung. Lembaga Penelitian., ed. Penataan ruang wilayah bekas gempa pulau Flores: Technical assistance II modul. Lembaga Penelitian, Institut Teknologi Bandung, 1997.

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Kusliansjah, Karyadi. Inovasi perancangan arsitektur model rumah apung fabrikasi pada tepi air dalam menghadapi global warming-banjir-gempa di Indonesia: Laporan akhir penelitian hibah bersaing tahun ketiga 2011 (buku C). Jurusan Arsitektur, Fakultas Teknik, Universitas Katolik Parahyangan, 2011.

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Kusliansjah, Karyadi. Inovasi perancangan arsitektur model rumah apung fabrikasi pada tepi air dalam menghadapi global warming, banjir, gempa di Indonesia: Laporan kemajuan pelaksanaan penelitian hibah bersaing final tahun kedua 2010. Jurusan Arsitektur, Fakultas Teknik, Universitas Katolik Parahyangan, 2010.

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Profil koperasi didaerah pasca bencana dalam rangka bantuan modal pasca gempa untuk usaha mikro dan kecil melalui koperasi. Kementerian Negara Koperasi dan Usaha Kecil dan Menengah, Republik Indonesia, 2008.

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Moreno. Le gemma: Modes de marches et d'arrêts, GRAFCET de coordination des tâches, conception des systèmes automatisés de production sûrs : Bac STI, BTS, DUT, IUP, Ecoles d'ingénieurs. Casteilla, 1997.

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Book chapters on the topic "Gemma Model"

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Desjardins, Jade, Mitra Cowan, and Yojiro Yamanaka. "Designing Genetically Engineered Mouse Models (GEMMs) Using CRISPR Mediated Genome Editing." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1979-7_36.

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Denecke, Kerstin, and Elia Gabarron. "Safety Planning for Suicide Prevention: Insights from the SERO App." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250078.

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Safety planning is an intervention that demonstrated to be successful in help individuals self-manage suicidal crises. The SERO suicide prevention app supports this safety planning in a digital manner. The objective of this paper is to identify the specific components of safety plans and thereby guiding the design of digital solutions in a way that it supports individuals’ needs. We analysed the safety plans of all 1848 at risk users registered with the SERO app by applying BERTopic and Google’s Gemma-2 Large Language Model to identify themes and topics mentioned in the safety plans. The analy
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Shi, Yunxiao, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, and Min Xu. "Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240748.

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Retrieval-augmented generation (RAG) techniques leverage the in-context learning capabilities of large language models (LLMs) to produce more accurate and relevant responses. Originating from the simple ‘retrieve-then-read’ approach, the RAG framework has evolved into a highly flexible and modular paradigm. A critical component, the Query Rewriter module, enhances knowledge retrieval by generating a search-friendly query. This method aligns input questions more closely with the knowledge base. Our research identifies opportunities to enhance the Query Rewriter module to Query Rewriter+ by gene
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Denecke, Kerstin. "Exploring the Potential of Non-Proprietary Language Models for Analysing Patient-Reported Experiences." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250173.

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Large language models (LLMs) are increasingly being explored for various applications in medical language processing. Due to data privacy issues, it is recommended to apply non-proprietary models that can be run locally. Therefore, this study aims to assess the potentials of non-proprietary language models in analysing patient-reported experiences, focusing on their ability to categorise and provide insights into the reported experiences. Three language models - Gemma 2, Llama 3.2 and Llama 3 - were applied to a dataset of 155 patient-reported texts from PatBox.ch, the Swiss national patient e
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Sánchez de Castro, Alejandro, Lourdes Araujo, and Juan Martinez-Romo. "Generative LLMs for Multilingual Temporal Expression Normalization." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240940.

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Assigning a numerical value to a temporal expression (TE), known as temporal expression normalization, is a crucial process for tasks like timeline creation and temporal reasoning. Rule-based and classical deep-learning normalization systems lack versatility because they are limited to specific domains and languages, while current Large Language Models (LLMs) solutions are relatively unexplored. To overcome the current limitations in adaptability, we suggest utilizing five of the latest generative Large Language Models (LLMs) - Mistral 7B, Gemma 7B, Gemma 2B, Phi-2, and Llama-3 8B. We have exp
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Plagwitz, Lucas, Philipp Neuhaus, Kemal Yildirim, Noah Losch, Julian Varghese, and Antonius Büscher. "Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts." In Studies in Health Technology and Informatics. IOS Press, 2024. http://dx.doi.org/10.3233/shti240861.

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Introduction: Large Language Models (LLMs) like ChatGPT have become increasingly prevalent. In medicine, many potential areas arise where LLMs may offer added value. Our research focuses on the use of open-source LLM alternatives like Llama 3, Gemma, Mistral, and Mixtral to extract medical parameters from German clinical texts. We concentrate on German due to an observed gap in research for non-English tasks. Objective: To evaluate the effectiveness of open-source LLMs in extracting medical parameters from German clinical texts, specially focusing on cardiovascular function indicators from car
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Salamun, Kurt. "Jaspers als Zeitdiagnostiker." In Karl Jaspers. Filozofia wieczysta - filozofia czasu. Wydawnictwo Naukowe Uniwersytetu Pedagogicznego w Krakowie, 2021. http://dx.doi.org/10.24917/9788380846616.2.

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For a number of writings of Jaspers it is significant that they imply diagnoses (or critical reflections) about some cultural and political tendencies and events during his lifetime. Those diagnoses becomes evident in the books “Man in modern Age”, “The Question of German Guilt”, “The Atom bomb and the Future of Man” or “The Future of Mankind”, and “The Future of Germa- ny”. There Jaspers treated in a critical mode: inhuman consequences of the development of modern sciences und techniques, the guilt of German people for the rise of Naziism, the danger of the extinction of all mankind by the at
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Agustan. "AI Kebencanaan dan Kewilayahan." In Prosiding Use Cases Artificial Intelligence Indonesia: Embracing Collaboration for Research and Industrial Innovation in Artificial Intelligence. Penerbit BRIN, 2023. http://dx.doi.org/10.55981/brin.668.c544.

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Indonesia terletak di daerah khatulistiwa, jalur pertemuan beberapa lempeng tektonik, dan dilalui jalur gunung api dunia. Kondisi ini membuat Indonesia menjadi daerah rawan bencana alam berupa gempa, tsunami, letusan gunung api dan bencana turunan dari kondisi hidrometeorologi, seperti banjir, longsor, kekeringan, dan kebakaran lahan. Wilayah daratannya seluas 1,9 juta kilometer persegi didiami oleh populasi dengan laju pertumbuhan 1,49% per tahun dan diproyeksikan berjumlah 285 juta jiwa pada 2025. Pertumbuhan ekonomi dan hasil pembangunan memproyeksikan bahwa 65% dari populasi ini berdiam di
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Conference papers on the topic "Gemma Model"

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Isa, Mubarak Daha, Surya Kant Pal, Aminu Lawan Adam, and Ibrahim Isah Nayaya. "Parameter-Efficient Fine-Tuning of the Google Gemma-7B Model for Hausa Language Sentiment Analysis Task Using Low-Rank Adaptation Technique." In 2024 IEEE 11th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). IEEE, 2024. https://doi.org/10.1109/upcon62832.2024.10982868.

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İşeri, İsmail, Barış Yeniçeri, and Ceren Tarar. "Distillation-Enhanced Medical Diagnosis And Clinic Referral With Fine-Tuned Gemma-3-12b." In 2025 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF). IEEE, 2025. https://doi.org/10.1109/aicconf64766.2025.11064054.

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Gao, Min, Peiqing Lu, Zihao Zhao, Xiaowei Bi, and Fa Wang. "Leveraging Large Language Models: Enhancing Retrieval-Augmented Generation with ScaNN and Gemma for Superior AI Response." In 2024 5th International Conference on Machine Learning and Computer Application (ICMLCA). IEEE, 2024. http://dx.doi.org/10.1109/icmlca63499.2024.10753879.

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Wang, Yanqi. "Multilingual and multicultural enhancement of large language model based on fine-tuning pre-trained model gemma2." In Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025), edited by Shaohua Luo and Akash Saxena. SPIE, 2025. https://doi.org/10.1117/12.3068238.

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Chen, Jianlong, Wei Xu, Zhicheng Ding, Jinxin Xu, Hao Yan, and Xinyu Zhang. "Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2 Models." In 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2024. https://doi.org/10.1109/icpics62053.2024.10796809.

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Qin, Yubin, Yang Wang, Jiachen Wang, et al. "23.8 An 88.36TOPS/W Bit-Level-Weight-Compressed Large-Language-Model Accelerator with Cluster-Aligned INT-FP-GEMM and Bi-Dimensional Workflow Reformulation." In 2025 IEEE International Solid-State Circuits Conference (ISSCC). IEEE, 2025. https://doi.org/10.1109/isscc49661.2025.10904774.

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Zhalgasbayev, Arman, Ali Khauazkhan, and Zhibek Sarsenova. "Fine-tuning the Gemma model for Kaggle Assistant." In 2024 IEEE AITU: Digital Generation. IEEE, 2024. http://dx.doi.org/10.1109/ieeeconf61558.2024.10585529.

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Gôlo, Marcos P. S., Adriel L. V. Mori, William G. Oliveira, et al. "On the use of Large Language Models to Detect Brazilian Politics Fake News." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2024. https://doi.org/10.5753/eniac.2024.245119.

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Machine learning methods are proposed to mitigate the spread of fake Brazilian news about politics so as not to harm society. Supervised algorithms are explored, requiring labeled news to train. However, labeling a high volume of news can be complex, onerous, time-consuming, error-prone, and costly. Hence, large language models (LLMs) have been used to detect fake news once LLMs are unsupervised methods that can play the role of classifiers. Most fake news detection studies explore the OpenAI LLMs (require payment) and lack an empirical evaluation with other LLMs. However, several open-source
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Morales-Garzon, Andrea, Sara Benel, Gabriel Tuco, Alberto Medina, and Oscar Rocha. "Healthy Cooking with Large Language Models, Supervised Fine-Tuning, and Retrieval Augmented Generation." In LatinX in AI at North American Chapter of the Association for Computational Linguistics Conference 2024. Journal of LatinX in AI Research, 2024. http://dx.doi.org/10.52591/lxai2024062112.

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In response to the growing demand of the global society to adopt healthy habits, this paper presents the design, development and validation of a Spanish culinary recipe dataset focused on healthy nutrition that includes representative dishes from the gastronomy of Spanish-speaking countries. We also evaluate the dataset using Gemma 2B, Supervised FineTuning and Retrieval Augmented Generation methodologies, showing its use to solve concrete problems related to nutrition.
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Banna, Tahsin Tariq, Swakshar Deb, Sejuti Rahman, and Shafin Rahman. "GEMM: A Graph Embedded Model for Memorability Prediction." In 2023 International Joint Conference on Neural Networks (IJCNN). IEEE, 2023. http://dx.doi.org/10.1109/ijcnn54540.2023.10191500.

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Reports on the topic "Gemma Model"

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Krueger, Aaron, Casey Jelsema, and Robert Pfeiffer. Predictive Capability Maturity Model Demonstration for Gemma using the Sandia Analysis Workbench. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2431905.

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Rodríguez Martínez, Myriam Elena, and Elías Hernández Lache. Estructuración de un modelo de negocio para los productores de cacao sociedad la nueva gema del municipio muzo – Boyacá. Universidad Nacional Abierta y a Distancia, 2020. http://dx.doi.org/10.22490/ecacen.4120.

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