LightZeroNav decomposes zero-shot VLN-CE into modules that reduce input redundancy, improve progress tracking from noisy memory, and separate action execution from stage transitions, allowing an 8B VLM to match GPT-4o performance.
Habitat: A platform for embodied ai research
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
LightZeroNav: Zero-Shot Vision Language Navigation in Continuous Environments Based on Lightweight VLMs
LightZeroNav decomposes zero-shot VLN-CE into modules that reduce input redundancy, improve progress tracking from noisy memory, and separate action execution from stage transitions, allowing an 8B VLM to match GPT-4o performance.