معرفی
Nikita Severin is a researcher specializing in computer science and artificial intelligence, with a focus on large language models, data mining, and ethical AI. While no formal affiliation details appear in the provided texts, their collaborative work spans institutions and domains.
Research Interests: Severin's work bridges multiple AI subfields, particularly emphasizing:
- Knowledge transfer between large language models and recommender systems
- Emotion-aware AI decision-making in strategic contexts
- Temporal graph modeling for dynamic data representation
- Computer vision applications to historical media analysis
- Ethical considerations in AI behavior
- Bridging logic reasoning with neural network approaches
Recent Publications: Their research appears in venues like NeurIPS, ECAI, and ICDM, covering topics from emotional AI frameworks to technical innovations in graph embeddings and collaborative filtering. Notable works include the ATGen framework for active text generation (2025) and LLM-KT for knowledge transfer (2024).
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