Papers3

#ECE

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models

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

Not triaged yet

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

Not triaged yet

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

Not triaged yet