activity
20232025
most citedTowards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

ACE-ICD: Acronym Expansion As Data Augmentation For Automated ICD Coding

Tuan-Dung Le, Shohreh Haddadan, Thanh Q. Thieu

Automatic ICD coding, the task of assigning disease and procedure codes to electronic medical records, is crucial for clinical documentation and billing. While existing methods pri…

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…

cs.CL2023★ 1 cited

Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space

Fred Philippy, Siwen Guo, Shohreh Haddadan

Prior research has investigated the impact of various linguistic features on cross-lingual transfer performance. In this study, we investigate the manner in which this effect can b…