Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification

Factual evidence

What the source reports

Research reveals LLM confidence estimation techniques are highly sparse, with models like Qwen3-32B clustering most outputs at exactly 95%.