The field of human-AI interaction is moving towards more adaptive and interactive engagement, with a focus on generative interfaces, cooperative design optimization, and personalized user experiences. Recent developments have introduced novel frameworks and systems that enable more efficient and effective human-AI collaboration, such as multi-stage alignment frameworks for generative query suggestion and attention-aware design frameworks. These advancements have shown promising results, including improved user engagement, increased design efficiency, and enhanced user experience. Noteworthy papers include: From Clicks to Preference, which introduced a multi-stage alignment framework for generative query suggestion, and Generative Interfaces for Language Models, which proposed a paradigm for proactive generation of user interfaces. Cooperative Design Optimization through Natural Language Interaction and Insights into User Interface Innovations from a Design Thinking Workshop also presented innovative approaches to human-AI interaction. Additionally, Athena and Persode introduced novel applications of large language models to app generation and personalized visual journaling, respectively. OnGoal presented a chat interface that helps users track and visualize conversational goals in multi-turn dialogue with large language models.