Excited to share that we have released RuBLiMP (Russian Benchmark of Linguistic Minimal Pairs), a novel benchmark for evaluating Russian language models (LMs).
❓RuBLiMP consists of 45,000 minimal pairs and includes 12 grammatical phenomena well-represented in Russian linguistics, covering morphology, syntax, and semantics. A minimal pair consists of a grammatical and an ungrammatical sentence (e.g., The cat is on the mat / *The cat are on the mat), and an LM is expected to prefer the grammatical one based on the scoring function.
Our approach allows to: 🔸generate minimal pairs at scale from any text domain 🔸estimate if a grammatical sentence appears in the LM's pretraining corpus
💡RuBLiMP can be used for evaluating the sensitivity of LMs to grammatical phenomena in Russian and for developing ranking and grammatical error detection methods.
Excited to share that we have released RuBLiMP (Russian Benchmark of Linguistic Minimal Pairs), a novel benchmark for evaluating Russian language models (LMs).
❓RuBLiMP consists of 45,000 minimal pairs and includes 12 grammatical phenomena well-represented in Russian linguistics, covering morphology, syntax, and semantics. A minimal pair consists of a grammatical and an ungrammatical sentence (e.g., The cat is on the mat / *The cat are on the mat), and an LM is expected to prefer the grammatical one based on the scoring function.
Our approach allows to: 🔸generate minimal pairs at scale from any text domain 🔸estimate if a grammatical sentence appears in the LM's pretraining corpus
💡RuBLiMP can be used for evaluating the sensitivity of LMs to grammatical phenomena in Russian and for developing ranking and grammatical error detection methods.
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