most citedXR Blocks: Accelerating Human-centered AI + XR Innovation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

GenXR-Bench: Benchmarking Coding Agents for Interactive XR Development

William Huang, David Li, Xiang 'Anthony' Chen +13

Coding agents are rapidly advancing from single-file generation to long-horizon repository-scale engineering, yet the evaluation of their capabilities to author interactive extende…

cs.HC2026

MiXR: Harvesting and Recomposing Geometry from Real-World Objects for In-Situ 3D Design

Faraz Faruqi, Demircan Tas, Arthur Caetano +6

Recent developments in 3D generative AI enable users to create bespoke 3D models from text or image prompts. However, these approaches provide limited control over spatial structur…

cs.HC2026

Vibe Coding XR: Accelerating AI + XR Prototyping with XR Blocks and Gemini

Ruofei Du, Benjamin Hersh, David Li +11

While large language models (LLMs) have accelerated traditional software development through intent-driven "vibe coding", prototyping intelligent Extended Reality (XR) experiences…

cs.HC2025★ 1 cited

XR Blocks: Accelerating Human-centered AI + XR Innovation

David Li, Nels Numan, Xun Qian +17

We are on the cusp where Artificial Intelligence (AI) and Extended Reality (XR) are converging to unlock new paradigms of interactive computing. However, a significant gap exists b…

cs.CL2025

ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"

Zhongyi Zhou, Kohei Uehara, Haoyu Zhang +5

Prior work synthesizes tool-use LLM datasets by first generating a user query, followed by complex tool-use annotations like depth-first search (DFS). This leads to inevitable anno…