We design, fine-tune, and evaluate state-of-the-art NLP architectures, including large language models for text understanding, dialogue systems, and generation in multilingual and domain-specific environments.
Our research integrates linguistic theory, neural architectures, and LLM-based representations to create interpretable, data-efficient, and adaptive language processing systems.
We engage in joint projects and applied studies with industrial and academic partners, exploring practical applications of LLMs and NLP technologies in conversational AI, education, and digital transformation.
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