ALEE generates AMR-based English minimal pairs with fine-grained semantic shifts, translates them, and evaluates embedding models on 275+ languages to expose cross-lingual gaps linked to training data and tokenization.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Nonlinear polynomial models fit local paraphrase embedding clouds more accurately than linear ones and support geometrically consistent synthetic point generation, yet this geometric fidelity does not improve classification performance.
citing papers explorer
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ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs
ALEE generates AMR-based English minimal pairs with fine-grained semantic shifts, translates them, and evaluates embedding models on 275+ languages to expose cross-lingual gaps linked to training data and tokenization.
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Controlled Paraphrase Geometry in Sentence Embedding Space: Local Manifold Modeling and Latent Probing
Nonlinear polynomial models fit local paraphrase embedding clouds more accurately than linear ones and support geometrically consistent synthetic point generation, yet this geometric fidelity does not improve classification performance.