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Resolving Knowledge Conflicts in LLM Inference Between Parametric and Contextual Data
Large language models combine internal parametric knowledge with external contextual information from prompts, but conflicts can arise between these sources. The paper discusses explicit methods for resolving such conflicts to improve inference reliability.
Addressing conflicts between internal and external knowledge is crucial for enhancing the accuracy and trustworthiness of LLM outputs. Effective conflict resolution can lead to more consistent and reliable language model performance across diverse tasks.
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Score 78
Source Type arxiv
Reposts 0
Topic Quality 54
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