Language models struggle to assess their own capabilities from noisy feedback

A new diagnostic benchmark shows models can report supplied statistics exactly but fail to reconstruct accurate domain-level self-assessments from interaction history.

Chinese Tech
Zhenshuai Yin · Jianshu Liang · Xuyue Xiong · Yongxin Guo · Mingda Zhang · Zhongze Luo · +3 more

The Chinese University of Hong Kong (Shenzhen) · Shenzhen Research Institute of Big Data · ByteDance

Research Digest··2 min read
Illustration: Language models struggle to assess their own capabilities from noisy feedback
The authors introduce LADDER, a benchmark for evaluating domain-level self-assessment under noisy feedback.

The authors designed LADDER, a five-level diagnostic ladder contrasting prior knowledge, feedback-based estimation, and numerical reporting.

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