Papers with 16-point boost

1 papers
Can’t Remember Details in Long Documents? You Need Some R&R (2024.findings-emnlp)

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Challenge: Long-context large language models miss important information in the middle of context documents . a recent study shows that LLMs can be used for document-based QA tasks .
Approach: They propose a prompt-based method called *reprompting* and *in-context retrieval* to alleviate this effect in document-based QA.
Outcome: The proposed method improves QA accuracy on documents up to 80k tokens in length.

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