DeepSeek vs. ChatGPT: Comparative Efficacy in Reasoning for Adults’ Second Language Acquisition Analysis by Mohammad Mahyoob Albuhairy, Jeehaan Algaraady

Subjects: “…DeepSeek…”
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LLM performance on mathematical reasoning in Catalan language by Lamyae Rhomrasi, Yusef Ahsini, Arnau Igualde-Sáez, Ricardo Vinuesa, Sergio Hoyas, José Pedro García-Sabater, Màrius J. Fullana-i-Alfonso, J. Alberto Conejero

“…Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI), with OpenAI's reasoning models and, more recently, DeepSeek reshaping the landscape. Despite AI being a strategic priority in Europe, the region lags behind global leaders. …”
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Management of Dupuytren’s Disease: A Multi-Centric Comparative Analysis Between Experienced Hand Surgeons Versus Artificial Intelligence by Ishith Seth, Gianluca Marcaccini, Kaiyang Lim, Marco Castrechini, Roberto Cuomo, Sally Kiu-Huen Ng, Richard J. Ross, Warren M. Rozen

“…Inter-AI agreements ranged from 75.0% (ChatGPT-Gemini) to 48.0% (DeepSeek-Copilot). Precision, recall, and F1 scores were consistently higher for ChatGPT and Gemini than for other systems. …”
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El Papel causal de la ausencia: ¿qué significa que Dios actúa de manera análoga a la causalidad descendente? by Javier Martínez Baigorri

“…Abstract: Generally speaking, the panantheistic model leaks from the necessary deep seek of the causality which through God acts in the world. …”
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Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning by Valentina Franzoni, Silvia Tagliente, Alfredo Milani

“…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

“…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

“…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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Attitudes to e-learning, learning style and achievement in learning neuroanatomy by medical students. by Svirko, E, Mellanby, J

“… BACKGROUND: Two main learning approaches adopted by students have been identified by research: deep (seeking for meaning motivated by interest in the subject matter) and surface (rote-learning motivated by fear of failure). …”