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WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models

Intermediate

Runjie Zhou, Youbo Shao et al.Jan 28arXiv

WorldVQA is a new test that checks if multimodal AI models can correctly name what they see in pictures without doing extra reasoning.

#WorldVQA#atomic visual knowledge#multimodal large language models

Agentic Uncertainty Quantification

Intermediate

Jiaxin Zhang, Prafulla Kumar Choubey et al.Jan 22arXiv

Long AI tasks can go wrong early and keep getting worse, like a snowball of mistakes called the Spiral of Hallucination.

#Agentic Uncertainty Quantification#Spiral of Hallucination#Dual-Process Architecture

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

Beginner

Weihao Xuan, Qingcheng Zeng et al.Jan 12arXiv

This paper studies how AI agents that use tools talk about how sure they are and finds a split: some tools make them too sure, others help them be honest.

#LLM agents#calibration#overconfidence

Papers3

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models

Agentic Uncertainty Quantification

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents