4 citations · 5 across the 11 of their papers we have counts for
6 papers · 1 filter
Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities
Tianfu Wang, Zhezheng Hao, Xilin Xia +9
Generative models can turn natural-language prompts into images, text, code, and other content, lowering the cost of producing drafts and components. Their practical impact increas…
AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
Dong Yan, Jian Liang, Dapeng Hu +4
Large language model (LLM) agents can self-evolve by continually improving from their own accumulated experience. However, existing studies predominantly adopt independent evaluati…
SocialCoach: Personalized Social Skill Learning with Agentic Tutoring and Practice
Tianfu Wang, Max Xiong, Jianxun Lian +9
Social skills such as negotiation and leadership are crucial for personal and professional success in today's interconnected world. However, scalable and effective training remains…
Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
Tianfu Wang, Zhezheng Hao, Yin Wu +7
Vibe coding turns natural-language intent into working software, but code generation alone does not give humans and agents a shared account of what they are building. As collaborat…
Beyond Voxel 3D Editing: Learning from 3D Masks and Self-Constructed Data
Yizhao Xu, Hongyuan Zhu, Caiyun Liu +6
3D editing refers to the ability to apply local or global modifications to 3D assets. Effective 3D editing requires maintaining semantic consistency by performing localized changes…
EvoDesign: Agentic Editable Diagram Creation via Design Expertise Evolution
Tianfu Wang, Leilei Ding, Ziyang Tao +13
High-fidelity diagram creation requires the complex orchestration of semantic topology, visual styling, and spatial layout, posing a significant challenge for automated systems. Ex…