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The capability of large language models to handle long-context information is crucial across various real-world applications.
R4c: A benchmark for evaluating rc systems to get the right answer for the right reason, 2020
Naoya Inoue, Pontus Stenetorp, and Kentaro Inui · 1910
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Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2001
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Amirkeivan Mohtashami and Martin Jaggi · 2023
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Yarn: Efficient context window extension of large language models, 2023
Bowen Peng, Jeffrey Quesnelle, Honglu Fan, and Enrico Shippole · 2023
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Infinitebench: 128k long-context benchmark for language models
Xinrong Zhang, Yingfa Chen, Shengding Hu, Qihao Wu, Junhao Chen, Zihang Xu, Zhenning Dai, Xu Han, Shuo Wang, Zhiyuan Liu, and Maosong Sun · 2023
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Training-free long-context scaling of large language models, 2024
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Gemini Team · 2024
Michelangelo: Long context evaluations beyond haystacks via latent structure queries, 2024
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Can long-context language models subsume retrieval, rag, sql, and more?
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