DART

Researchers introduced DART, an RGB-D pretraining method that builds on DINOv2 by adding a pixel-space depth reconstruction objective supervised by pseudo-labeled depth, improving vision foundation mo…

Researchers have developed DART, a modular runtime that addresses the failure of structured tool agents mid-execution by certifying semantically recoverable boundaries before restoring from a local ch…

A four-stage pipeline for implementing natural language search on Dublin rental listings, using an LLM to parse user queries into a structured JSON schema. The system then resolves geographic intent v…