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Where Confabulation Lives: Latent Feature Discovery in LLMs (2025.emnlp-main)

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Challenge: Despite advances in large language models, hallucination remains a critical failure mode . despite these advances, LLMs are prone to hallucinic outputs that contain illusory information presented as if it were factual or grounded in reality.
Approach: They propose to isolate and analyze confabulation, a foundational aspect of hallucination, where the model fabricates facts about unknown entities.
Outcome: The proposed method reveals that the model can fabricate facts with minimal disruption, shedding light on the inner representations that drive factual and non-factual output.

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