5 papers
Human-AI Synergy Supports Collective Creative Search
Chenyi Li, Raja Marjieh, Haoyu Hu +4
The paper investigates how humans and generative AI can work together in a word‑guessing game, finding that hybrid human‑AI teams achieve higher performance while maintaining diver…
DiT-Reward: Generative Representations for Text-to-Image Reward Modeling
Yuanming Yang, Guoqing Ma, Bo Wang +5
Can representations learned for image generation also support the evaluation of generated images? We study text-to-image reward prediction as a downstream task of generative repres…
Why Human Guidance Matters in Collaborative Vibe Coding
Haoyu Hu, Raja Marjieh, Katherine M Collins +4
Writing code has been one of the most transformative ways for human societies to translate abstract ideas into tangible technologies. Modern AI is changing this process by enabling…
SetPO: Set-Level Policy Optimization for Diversity-Preserving LLM Reasoning
Chenyi Li, Yuan Zhang, Bo Wang +4
Reinforcement learning with verifiable rewards has shown notable effectiveness in enhancing large language models (LLMs) reasoning performance, especially in mathematics tasks. How…
Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling
Chenyi Li, Guande Wu, Gromit Yeuk-Yin Chan +6
Augmented Reality (AR) assistance is increasingly used for supporting users with physical tasks like assembly and cooking. However, most systems rely on reactive responses triggere…