lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Users struggle to balance subjective needs with high-quality machine outputs.IUI '23The Impact of Expertise in the Loop for Exploring Machine Rationality
Human-AI Collaboration and Decision Support / Human-AI Collaborative Optimization and Preference Alignment
Users struggle to balance subjective needs with high-quality machine outputs.
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lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Designers struggle to efficiently explore and prototype interactions and behaviors with generative AI.lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Teachers struggle to efficiently find and manage programming patterns suitable for teaching in application domains.lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Users struggle to handle other complex tasks while engaged in real-time voice communication.lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Students in MOOCs often encounter creative difficulties and inefficiency during peer review.lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Users struggle to design high-quality LLM prompts, leading to inconsistent outputs and low efficiency.lightbulbPractical problemHuman-AI Collaborative Optimization and Preference Alignment
Nutrition advice users receive often lacks personalization and scientific grounding.Related papers
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