1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish
Fred Philippy, Shohreh Haddadan, Siwen Guo
In NLP, zero-shot classification (ZSC) is the task of assigning labels to textual data without any labeled examples for the target classes. A common method for ZSC is to fine-tune…
cs.CL2024★ 1 cited
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
Fred Philippy, Siwen Guo, Shohreh Haddadan +3
Soft Prompt Tuning (SPT) is a parameter-efficient method for adapting pre-trained language models (PLMs) to specific tasks by inserting learnable embeddings, or soft prompts, at th…
cs.CL2023★ 1 cited
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review
Fred Philippy, Siwen Guo, Shohreh Haddadan
In recent years, pre-trained Multilingual Language Models (MLLMs) have shown a strong ability to transfer knowledge across different languages. However, given that the aspiration f…