Papers with generation of LT-Swap benchmarks

1 papers
LongTail-Swap: benchmarking language models’ abilities on rare words (2025.findings-emnlp)

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Challenge: LongTail-Swap is a benchmark that focuses on the tail of the word distribution, i.e., measures the ability of LMs to learn new words with very little exposure, like infants do.
Approach: They introduce LongTail-Swap, a benchmark that measures the ability of language models to learn new words with very little exposure, like infants do.
Outcome: The proposed benchmark measures the ability of language models to learn new words with very little exposure, like infants do.

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