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[next-mdx-remote-client] error compiling MDX: Could not parse expression with acorn More information: https://mdxjs.com/docs/troubleshooting-mdx
Evaluates whether vision–language models can convert 2D observations into precise 3D control by introducing RoTA-Bench, an interactive projection-alignment benchmark that synthesizes silhouette-preserving 3D objects, guarantees solvable initializations, and provides 674 tasks with a stratified 100-task test set.
[next-mdx-remote-client] error compiling MDX: Could not parse expression with acorn More information: https://mdxjs.com/docs/troubleshooting-mdx
Tests whether web agents can use visual evidence to finish 910 tasks across shopping, classifieds, and social forums. Execution-based checks distinguish successful actions from plausible explanations.
Turns language commands into executable robot policies that combine perception, control APIs, loops, and geometry libraries. Hierarchical code generation recursively fills in missing functions to support new behaviors without policy retraining.
Improves stability and consistency for multi-turn image editing by training autoregressive diffusion editors with Single-Turn Distribution Matching Distillation and Teacher-Forcing Guidance. Combines a single-turn teacher for visual-quality supervision and trajectory-based teacher-forcing to preserve edits across successive turns.