{
  "id": 7698704,
  "title": "ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation",
  "url": "https://urgent.news/2026/09/15/encp-episode-normalized-conformal-prediction-for-vision-and-language",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-15T17:42:15.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.17499v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Uncertainty estimation for Vision-Language-Navigation (VLN) models is a critical task since it can help identify ambiguous and unreliable predictions, enabling agents to make safer navigation decisions. As one of the most advanced uncertainty estimation frameworks, conformal prediction (CP) offers a promising approach for uncertainty estimation in VLN. However, given that VLN agent requires a…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}