Papers with long story understanding

1 papers
FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models (2024.findings-acl)

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Challenge: Existing approaches to process contexts with unlimited length are limited to finite expansion length or prone to performance degradation when dealing with very long contexts.
Approach: They propose to exploit fragment-level relations in external memory to hierarchically process the long text.
Outcome: The proposed model improves story understanding, repository-level code generation, and long-term chatting.

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