Unverified50% confidenceFactExact time
BABILong is a benchmark for evaluating long-context reasoning that scatters facts throughout extremely long documents and requires models to reason across multiple statements.
1
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50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
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Unverified一些推理增强型模型(如DeepSeek-R1、Kimi K3)会生成非常长的思维链,有时推理过程的Token数量是最终答案的数十倍68% similarUnverifiedWhen handling long contexts, multi-turn dialogues, and complex reasoning chains in inference scenarios, models need to frequently read and write large amounts of intermediate states (such as KV Cache), placing extremely high demands on memory capacity and bandwidth.66% similarUnverifiedReasoning models perform extended reasoning within thinking blocks wrapped in special tokens (such as <think> and </think>); this content is typically not shown directly to users but consumes a large number of tokens.65% similarUnverified结构化文档生成是一个多约束优化问题,需要模型具备long-horizon reasoning(长期推理)能力65% similarUnverifiedStreaming inference involves inference optimization techniques such as speculative decoding and continuous batching.65% similar
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