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pro vyhledávání: '"Kim, Tongyoung"'
Recent approaches in Conversational Recommender Systems (CRSs) have tried to simulate real-world users engaging in conversations with CRSs to create more realistic testing environments that reflect the complexity of human-agent dialogue. Despite the
Externí odkaz:
http://arxiv.org/abs/2411.16160
Language Models (LMs) are increasingly employed in recommendation systems due to their advanced language understanding and generation capabilities. Recent recommender systems based on generative retrieval have leveraged the inferential abilities of L
Externí odkaz:
http://arxiv.org/abs/2408.08686
Cross-lingual entity alignment (EA) enables the integration of multiple knowledge graphs (KGs) across different languages, providing users with seamless access to diverse and comprehensive knowledge. Existing methods, mostly supervised, face challeng
Externí odkaz:
http://arxiv.org/abs/2407.15588