Showing 1 - 5 results of 5 for search '"DeepSeek"', query time: 0.04s Refine Results
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    Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning by Valentina Franzoni, Silvia Tagliente, Alfredo Milani

    Published 2024-11-01
    “…The methodology proposed in this study applies transfer learning techniques on the DeepSeek Coder model, to refine pre-trained models to generate code that integrates additional structuring constraints. …”
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    FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

    Published 2025-01-01
    “…At the same time, considering the traceability characteristics of financial industry regulatory requirements, this paper uses the open-source big model DeepSeek. After testing on the BIRD dataset, compared with most NL2SQL models based on large language models, EX is at least 2.73% higher than the original method, F1 is at least 3.72 higher than the original method, and VES is 6.34% higher than the original method. …”
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    Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering by Yunqiao Fei, Jingchao Fan, Guomin Zhou

    Published 2025-01-01
    “…This paper tests multiple LLM models available in the Chinese market, and the results show that K-Extract can seamlessly integrate with any conversational LLM model, with the DeepSeek model and the Kimi model performing particularly well. …”
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    Performance of large language models on veterinary undergraduate multiple-choice examinations: a comparative evaluation by Santiago Alonso Sousa, Syed Saad Ul Hassan Bukhari, Paulo Vinicius Steagall, Paulo Vinicius Steagall, Paweł M. Bęczkowski, Antonio Giuliano, Kate J. Flay

    Published 2025-08-01
    “…This research comparatively evaluated the performance of nine advanced LLMs (ChatGPT o1Pro, ChatGPT 4o, ChatGPT 4.5, Grok 3, Gemini 2, Copilot, DeepSeek R1, Qwen 2.5 Max, and Kimi 1.5) on 250 multiple-choice questions (MCQs) sourced from a veterinary undergraduate final qualifying examination. …”
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