Long-Context Understanding
13 papers with code • 2 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Long-Context Understanding
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Most implemented papers
RULER: What's the Real Context Size of Your Long-Context Language Models?
Despite achieving nearly perfect accuracy in the vanilla NIAH test, all models exhibit large performance drops as the context length increases.
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
Large language models (LLMs) have shown remarkable performance in various natural language processing tasks.
Retrieval Head Mechanistically Explains Long-Context Factuality
nightdessert/retrieval_head
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Despite the recent progress in long-context language models, it remains elusive how transformer-based models exhibit the capability to retrieve relevant information from arbitrary locations within the long context.
