Chain-of-Verification Reduces Hallucination in Large Language Models
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2309.11495
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Published
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39
hallucination
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Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training
Paper • 2410.15460 • Published • 1 -
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
Paper • 2410.18860 • Published • 11 -
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
Paper • 2411.14257 • Published • 14 -
Linear Correlation in LM's Compositional Generalization and Hallucination
Paper • 2502.04520 • Published • 10 -
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering
Paper • 2502.03628 • Published • 12 -
When an LLM is apprehensive about its answers -- and when its uncertainty is justified
Paper • 2503.01688 • Published • 21 -
How to Steer LLM Latents for Hallucination Detection?
Paper • 2503.01917 • Published • 11 -
LettuceDetect: A Hallucination Detection Framework for RAG Applications
Paper • 2502.17125 • Published • 12 -
Are Reasoning Models More Prone to Hallucination?
Paper • 2505.23646 • Published • 24 -
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 195 -
Large Language Models Do NOT Really Know What They Don't Know
Paper • 2510.09033 • Published • 16