Papers by Victor Mijangos
FSTs vs ICL: Generalisation in LLMs for an under-resourced language (2025.findings-emnlp)
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| Challenge: | LLMs have been widely adopted to tackle many traditional NLP tasks, but their effectiveness remains uncertain in scenarios where pre-trained models have limited prior knowledge of a language. |
| Approach: | They propose a rule-based method using a finite-state transducer and an in-context learning method that provides the model with string transduction examples. |
| Outcome: | The proposed method outperforms FSTs in zero-shot settings while ICL surpasses FLMs. |