Studies Show Conversational AI Outcomes Depend on User Competence and Interaction Design
A collection of research shows that the real-world effects of generative conversational systems depend on user characteristics, organizational support, and ...
A collection of research shows that the real-world effects of generative conversational systems depend on user characteristics, organizational support, and ...
Computer scientists introduced HUMP, a multimodal recommendation framework that balances individual user modality habits with item-level global preferences through layered ...
A LLaMA-CLIP cross-attention system improved multimodal matching, intention recognition and personalization in benchmark tests while recording batch-size-one inference latency of ...
An offline simulation using 12.53 million KuaiRec interactions found that a DQN recommender generated longer simulated sessions and more diverse ...
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© 2026 Scienmag - Science Magazine