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Large language models (LLMs) have achieved substantial progress in processing long contexts but still struggle with long-context reasoning.
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Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
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Longbench: A bilingual, multitask benchmark for long context understanding
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Amanda Bertsch, Alex Xie, Graham Neubig, and Matthew R Gormley. 2023 · 2023
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Least-to-most prompting enables complex reasoning in large language models
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Agentboard: An analytical evaluation board of multi-turn llm agents
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