Papers by Kuan-Ru Liou

1 papers
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment (2026.findings-eacl)

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Challenge: Existing uncertainty-aware approaches weight preferences, but ignore reliability of the answers being compared.
Approach: They propose a framework that grounds preference weighting in Conformal Predictions to address this problem.
Outcome: The proposed framework improves alignment robustness and data efficiency across different datasets.

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