Papers by Congxuan Zhang

1 papers
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations (2025.findings-emnlp)

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Challenge: Existing methods for hallucination mitigation are based on external dependency and require external annotations or auxiliary models for preference data collection.
Approach: a new method is proposed to help model-generated hallucinations without external dependencies.
Outcome: a new method that self-injects hallucinations into a generated response improves halluuutations mitigation.

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