Papers with calibration-driven Interactive Learning Strategy

1 papers
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations (2026.acl-long)

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Challenge: Existing static strategies for mitigating hallucinations do not explicitly model the information gain from interacting with the external environment.
Approach: They propose a calibration-driven interactive learning strategy that selects clarification queries by optimizing calibration error.
Outcome: The proposed method provides theoretical guarantees and empirical gains for reliability.

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