Alan Ansell

According to our database, Alan Ansell authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution.

Qiao Xiao, Alan Ansell, Boqian Wu, Lu Yin, Mykola Pechenizkiy, Shiwei Liu, Decebal Constantin Mocanu

CoRR, May, 2025

Training Plug-n-Play Knowledge Modules with Deep Context Distillation.

Lucas Caccia, Alan Ansell, Edoardo M. Ponti, Ivan Vulic, Alessandro Sordoni

CoRR, March, 2025

2024

Scaling Sparse Fine-Tuning to Large Language Models.

Alan Ansell, Ivan Vulic, Hannah Sterz, Anna Korhonen, Edoardo M. Ponti

CoRR, 2024

2023

Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity.

Alan Ansell, Marinela Parovic, Ivan Vulic, Anna Korhonen, Edoardo M. Ponti

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Cross-Lingual Transfer with Target Language-Ready Task Adapters.

Marinela Parovic, Alan Ansell, Ivan Vulic, Anna Korhonen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Distilling Efficient Language-Specific Models for Cross-Lingual Transfer.

Alan Ansell, Edoardo Maria Ponti, Anna Korhonen, Ivan Vulic

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Composable Sparse Fine-Tuning for Cross-Lingual Transfer.

Alan Ansell, Edoardo Maria Ponti, Anna Korhonen, Ivan Vulic

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer.

Alan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, Sebastian Ruder, Goran Glavas, Ivan Vulic, Anna Korhonen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

PolyLM: Learning about Polysemy through Language Modeling.

Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2019

An ELMo-inspired approach to SemDeep-5's Word-in-Context task.

Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer

Proceedings of the 5th Workshop on Semantic Deep Learning, 2019