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ThinkJev paper proposes budget-aware calibrated typed decisions for language models

This story is from 2026-10-30. It is preserved in the archive; the latest stories are on the live feed.

A new arXiv paper, ThinkJev, introduces a method for language models making typed decisions among closed sets of options, aiming for calibrated probabilities across compute budgets.

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-30 04:00 · arXiv cs.AI
    ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions

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