{
  "id": 9463040,
  "title": "FLEET: From Logits Entropy to Enhanced Trajectories in Text Generation",
  "url": "https://urgent.news/2026/09/23/fleet-from-logits-entropy-to-enhanced-trajectories-in-text-generation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T10:26:25.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.27657v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Solutions based on large language models (LLMs) often rely on temperature sampling to improve accuracy and stability by aggregating multiple samples from the completion distribution. However, this memoryless approach is inherently suboptimal: because it lacks awareness of prior generations and their evaluations, it produces an increasing proportion of semantically duplicate answers as more…",
  "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."
}