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AssistantBench / f94fa0a81aedde2ba39236a7f64988dbfa92a41a19f26f0caca81f55404de8ce / AssistantBench test f94fa0a81aedde2ba39236a7f64988dbfa92a41a19f26f0caca81f55404de8ce

Problem

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task

Which papers published in 2023 have used RNNs to process extremely long texts (tens of thousands of tokens), and evaluated on long-text benchmarks instead of just evaluating perplexity?

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Source and history

upstream_id / Original problem ID: f94fa0a81aedde2ba39236a7f64988dbfa92a41a19f26f0caca81f55404de8ce
task_id: 57f943b6-a89f-5cf2-9992-169926e435ab
task_key: default--test--f94fa0a81aedde2ba39236a7f64988dbfa92a41a19f26f0caca81f55404de8ce
task_revision_id: 2
config / split: default / test

Official source

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