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List Counting Failures Are Not One Phenomenon

Hou, Iyad Ait et al.
arXiv (All) · Papers
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machine-learning
Counting the items in a bracketed list looks trivial, yet open-weight chat models often get it wrong. Prior work usually blames input bottlenecks such as subword fragmentation or attention dilution, which predict that different models should fail in roughly the same way. Across seven instruct models
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