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investigates the reproducibility of HP data processing pipelines using large language models (LLMs) to replicate published computational results. According to Starace et al. (2025), the state of the art in AI
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. Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation. In The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). Where to apply
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validation tests of experimental results related to developed prototypes. Designing conversational solutions and for the assessment of conversational solutions after having worked on LLM's. - ISOL, M. Penco
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