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Ares: Adaptive Reasoning Effort Selection for Efficient LLM Agents

Ares uses a lightweight router to select per-step reasoning effort for LLM agents, cutting reasoning tokens by up to 52.7% with minimal accuracy loss.

Jingbo Yang, Bairu Hou, Jiayun (Peter) Wang, Wei Wei and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5