Global ETD Search
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Showing 1 to 7 of 7 for “"DeepSeek"”.
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Δημιουργία Διαλογικών Δεδομένων Tραπεζικών Συναλλαγών στην Ελληνική Γλώσσα με τη χρήση Μεγάλων Γλωσσικών Μοντέλων: Συγκριτική αξιολόγηση Μοντέλων και αναγνώριση Οντοτήτων
… την δυναμική βελτίωση των διαλόγων στο μοντέλο DeepSeek-R1 και (3) την αναγκαιότητα ενίσχυσης της ποιότητας των διαλόγων στο μοντέλο LlamaKriKri-8B. Τα ευρήματα της αναγνώρισης οντοτήτων αποδεικνύουν τη συστηματικότητα και την οργάνωση των διαλόγων, σύμφωνα με τα πρότυπα δομής του προφορικού …
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How Large Language Models Are Reshaping Skills and Job Requirements for Public Health Professionals in Saudi Arabia
… Models (LLMs) such as ChatGPT, Gemini, and DeepSeek are transforming professional work across sectors by enhancing information processing and decision support. In public health, these technologies offer the potential to improve efficiency, analytical capacity, and data-driven …
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Evaluation and Enhancement of Qualitative Spatial Reasoning in LLMs via Symbolic Fine-Tuning
… πρόκληση. Η έρευνα επικεντρώνεται στο μοντέλο DeepSeek-R1-Distill-Qwen-7B, διερευνώντας εάν η αρχιτεκτονική του μπορεί να εκπαιδευτεί (fine-tuning) ώστε να εσωτερικεύσει τους κανόνες του Λογισμού Κύριων Κατευθύνσεων (Cardinal Direction Calculus- CDC). Η μεθοδολογία περιλαμβάνει μια εκτενή …
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Integrating LLMs and Causal Inference: Comparing Oral Anticoagulant Effects on Thrombosis Recurrence, Bleeding Risk and Death Using MIMIC-IV Data
… reasoning steps and classifications using the DeepSeek-R1 API, and fine-tuning 8–14 billion parameter versions of Llama-3, Qwen-3 and Gemma-3 models with Group Relative Policy Optimization (GRPO). Qwen-3 achieved the highest accuracy on a hold-out set of synthetic notes and de-identified real …
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Conversational Multimodal LLMs for Food Nutritional Information Retrieval: A Systematic Evaluation
… models (including GPT-4o, Qwen 2, and Qwen 2.5, DeepSeek, and LLaVA), in a zero-shot setting on two real-world datasets, Nutrition5k and MetaFood3D. To identify which types of information most improve model predictions, a structured cue ladder protocol was developed. Models first receive only the …
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DeepParse: Hybrid LLM-Guided Pattern Mining for Accurate and Reproducible Log Parsing
Modern distributed systems produce massive, heterogeneous logs essential for reliability, security, and anomaly detection. Converting these free-form messages into structured templates and extracting variable fields, known as log parsing, is challenging due to evolving formats and limited labelled …