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All SourcesarXiv
#uncertainty quantification

Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents

Intermediate
Changdae Oh, Seongheon Park et al.Feb 4arXiv

This paper says we should measure an AI agent’s uncertainty across its whole conversation, not just on one final answer.

#uncertainty quantification#LLM agents#interactive AI

Entropy Sentinel: Continuous LLM Accuracy Monitoring from Decoding Entropy Traces in STEM

Beginner
Pedro Memoli Buffa, Luciano Del CorroJan 13arXiv

The paper introduces Entropy Sentinel, a simple way to watch how accurate an AI is by reading its “uncertainty heartbeat” during generation.

#LLM monitoring#entropy profile#top-k probabilities

World Models That Know When They Don't Know: Controllable Video Generation with Calibrated Uncertainty

Intermediate
Zhiting Mei, Tenny Yin et al.Dec 5arXiv

This paper teaches video-making AI models to say how sure they are about each tiny part of every frame they create.

#controllable video generation#uncertainty quantification#calibration