Data curation is crucial for post-training recipes. But how do we curate? Curation is usually manual & tedious. And, it's hard to tell if a strategy in the data will be reliable! We introduce an automatic way to curate, informed by the robot's policy learning.

How can robots problem solve in novel environments? We combine high-level reasoning with VLMs with low-level controllers to allow test-time problem solving. Paper & code: anniesch.github.io/vlm-pc/

🚨 We’re thrilled to announce our ICCV 2025 Workshop: MMRAgI – Multi-Modal Reasoning for Agentic Intelligence! 🚨 🌐 Homepage: agent-intelligence.github.io/agent-intellig… 📥 Submit: openreview.net/group?id=thecv… 🗓️ Submission Deadline (Proceeding Track): June 24th 2025 23:59 AoE 🗓️ Submission Deadline