Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge (2025.findings-naacl)
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| Challenge: | Recent large language models have demonstrated impressive capabilities in handling long contexts . however, as context length increases, LLMs struggle more with filtering out irrelevant information . |
| Approach: | They propose to use unrelated sentences to capture relational knowledge over long contexts . they find that LLMs can handle edge noise with little impact, but can reason about distant relationships . |
| Outcome: | The proposed model can handle edge noise with little impact, but its ability to reason about distant relationships declines as the noise grows. |
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