Papers by Adam Hiatt
When Context Leads but Parametric Memory Follows in Large Language Models (2024.emnlp-main)
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| Challenge: | Large language models (LLMs) have demonstrated remarkable progress in leveraging diverse knowledge sources. |
| Approach: | They propose to analyze how large language models prioritize and utilize local context and parametric knowledge when answering open-ended questions in knowledge-consistent scenarios. |
| Outcome: | The proposed model prioritizes parametric and contextual knowledge over parametric knowledge in knowledge-consistent scenarios and their tendency to hallucinate under varying context sizes. |