Papers with zero-shot knowledge transfer
DLIR: Spherical Adaptation for Cross-Lingual Knowledge Transfer of Sociological Concepts Alignment (2025.findings-emnlp)
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| Challenge: | Existing methods for identifying nuanced sociological concepts fail to capture domain-specific subtleties or require extensive parallel data. |
| Approach: | a new approach to aligning nuanced sociological concepts is proposed . a dual-branch LoRA approach captures core semantics and counteracts specific language perturbations. |
| Outcome: | a new approach outperforms baselines on cross-lingual sociological concept retrieval across 10 languages. |
Generalizing over Long Tail Concepts for Medical Term Normalization (2022.emnlp-main)
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Beatrice Portelli, Simone Scaboro, Enrico Santus, Hooman Sedghamiz, Emmanuele Chersoni, Giuseppe Serra
| Challenge: | Medical term normalization is a task of mapping a text to a large number of output classes. |
| Approach: | They propose a learning strategy that leverages hierarchical information to enhance generalizability of models. |
| Outcome: | The proposed strategy produces state-of-the-art performance on seen concepts and consistent improvements on unseen ones, allowing efficient zero-shot knowledge transfer across text typologies and datasets. |