Papers by Yani Ioannou

1 papers
Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning (2026.findings-acl)

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Challenge: Preference alignment methods can reinforce hallucinations when preference judgments reward fluency and confidence over factual correctness.
Approach: They propose a method that corrects misordered preference pairs and adds a factuality-aware margin to emphasize pairs with clear correctness differences.
Outcome: The proposed method improves factuality and reduces hallucination rates across seven open-weight LLMs.

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