ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions

Agents & Inference

arXiv

ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

Summary A

The ThinkJev system achieves a 72% reduction in thought tokens for a large language model (Qwen3.5-27B) while maintaining 81.6% accuracy on typed decisions, by dynamically choosing when to engage a "slow thinking" process, enabling significant cost savings for production LLM deployments that require calibrated typed decisions.

Summary B

Mistral Large quota or rate limit — check usage and plan. Original headline: ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions

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