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Yinuo Liu
yliusci
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yliusci
AI & ML interests
Raw Mathematics
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posted
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update
6 days ago
New paper: Length Is Cheap, Competition Is Not š Why do LLMs fail on long inputs? For retrieval, our answer is: not because of length. ⢠32K tokens of neutral text: Qwen2.5-1.5B keeps 0.97ā1.00 accuracy ⢠Same positions, statements in the evidence format: 0.11ā0.21 ⢠One rival value for the queried key: loss Ć9 to Ć110 The attention mass left on the evidence predicts the loss (up to 58% of variance, 126K trials). Log length: at most 8%. Paper: https://huggingface.co/papers/2611.04169 Data (all 126K trials): https://huggingface.co/datasets/yliusci/length-is-cheap Feedback very welcome, especially on larger models.
updated
a dataset
6 days ago
yliusci/length-is-cheap
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a paper
6 days ago
Length Is Cheap, Competition Is Not: Attention Predicts Context Rot in Retrieval
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