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One MLLM, One Call: Efficient Zero-Shot Vision-and-Language Navigation via Spatial-Aware Waypoints

Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to navigate unseen environments by following natural language instructions. Current zero-shot VLN-CE methods either rely on pre-trained waypoint predictors or require multiple queries to large models per step. To address prohibitive inference latency and computational overhead, we propose O2C-Nav, an…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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Why Better Prompts Won't Save Your Broken AI Agent

The tenth prompt tweak usually feels like progress. The eleventh reveals the problem: the fix that stopped the agent from inventing refund policies also made it refuse legitimate refund questions…

  • A single prompt tweak may improve one aspect but negatively impact others.
  • An evaluation loop systematically assesses agent performance across multiple dimensions.
  • Evaluation loop replaces manual trial and error with defined checks for system-level behavior.

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