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Agentic Uncertainty Quantification

A dual-process agentic framework converts verbalized uncertainty into active control signals to prevent error propagation and improve trajectory calibration without training.

Jiaxin Zhang, Prafulla Kumar Choubey, Kung-Hsiang Huang, Caiming Xiong and 1 more

Published Jan 22, 2026 · 0 citations · ▲ 9 on Hugging Face

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
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xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning

xRouter trains a reinforcement learning router that either answers directly or calls external models using a cost-aware reward, reducing costs while maintaining task completion rates.

Qian, Cheng, Zuxin Liu, Shirley Kokane, Akshara Prabhakar and 9 more

Published Oct 9, 2025 · 0 citations · ▲ 1 on Hugging Face

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12/20 AI panelreviewers recommend it

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