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20192026
most citedDon't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling

5 citations · 7 across the 7 of their papers we have counts for

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cs.CL2026

CLEAR: Cross-Lingual Enhancement in Alignment via Reverse-training

Seungyoon Lee, Minhyuk Kim, Seongtae Hong +3

Existing multilingual embedding models often encounter challenges in cross-lingual scenarios due to imbalanced linguistic resources and less consideration of cross-lingual alignmen…