Stronger AI capabilities don't automatically mean more reliable confidence
A researcher says his team's EMNLP 2025 papers found that stronger reasoning and vision-language models aren't necessarily more reliable in their confidence; task and modality matter, too.
TLDR
A researcher says his team evaluated confidence calibration in reasoning and vision-language models in two EMNLP 2025 papers. They found that stronger capabilities don't automatically bring more reliable confidence. He says their ACL 2026 work explicitly optimized calibration alongside task performance in tool-using agents, and argues that calibration matters as model confidence begins to guide real actions.
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