UCLA and Apple Release OpenVLHarness Visual Reasoning Framework
UCLA and Apple introduced OpenVLHarness, a training-free framework that turns any MLLM into an evidence-based visual reasoner combining perception, search, and code execution, delivering an average gain of 9.9 points across 22 benchmarks.
2026-10-20 ~ 2026-10-21 · 4 related posts
- UCLA and Apple's OpenVLHarness adds multimodal memory to visual agentic tool-use — Yu Zhou · 2026-10-20
- OpenVLHarness: training-free harness adds web search and Python tools to multimodal models — _akhaliq · 2026-10-20
- OpenVLHarness turns any LLM into a visual reasoner, claiming +9.9 points across 22 datasets — hsu_byron · 2026-10-21
- OpenVLHarness turns any MLLM into a visual reasoner, +9.9 points across 22 datasets — yining_hong · 2026-10-21