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LADDER: Diagnosing Domain-Level Self-Assessment Under Noisy Feedback
Knowing when they are reliable is essential for language models to support human-AI collaboration. Yet interaction feedback is not always complete or correct, and may mislead models' understanding of their own capabilities. We introduce LADDER to study how language models assess themselves under unr
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