{
  "id": 17176445,
  "title": "Prompts and probabilities in the linguistic assessment of language models: Evidence from semantic focus-sensitivity",
  "url": "https://urgent.news/2026/10/29/prompts-and-probabilities-in-the-linguistic-assessment-of-language",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T12:28:54.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.39923v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "As language models (LMs) have improved, an increasingly common means of evaluating their linguistic competence is through explicit prompting (e.g., \"Which sentence is more acceptable?\"). Prior work indicates that such prompting underperforms compared to standard token-probability-based methods in smaller models, but improves in larger models. We test this in a new domain: semantic…",
  "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."
}