Papers by Buddhika Laknath Semage

1 papers
The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs (2026.findings-eacl)

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Challenge: Hallucination in large language models has been studied, but a side effect remains unrecognized . a new study examines the trade-off between truthfulness and safety alignment .
Approach: They propose a method that disentangles hallucination from hallucinian features using sparse autoencoders.
Outcome: The proposed method preserves refusal behavior and task utility while maintaining safety alignment.

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