An ELMo-inspired approach to SemDeep-5's Word-in-Context task. - Alan Ansell; Felipe Bravo-Marquez; Bernhard Pfahringer (SemDeep@IJCAI, 2019)

PolyLM: Learning about Polysemy through Language Modeling. - Alan Ansell; Felipe Bravo-Marquez; Bernhard Pfahringer (EACL, 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 (EMNLP (Findings), 2021)

Composable Sparse Fine-Tuning for Cross-Lingual Transfer. - Alan Ansell; Edoardo Maria Ponti; Anna Korhonen; Ivan Vulic (ACL (1), 2022)

Distilling Efficient Language-Specific Models for Cross-Lingual Transfer. - Alan Ansell; Edoardo Maria Ponti; Anna Korhonen; Ivan Vulic (ACL (Findings), 2023)

Cross-Lingual Transfer with Target Language-Ready Task Adapters. - Marinela Parovic; Alan Ansell; Ivan Vulic; Anna Korhonen (ACL (Findings), 2023)

Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity. - Alan Ansell; Marinela Parovic; Ivan Vulic; Anna Korhonen; Edoardo M. Ponti (EMNLP, 2023)

Scaling Sparse Fine-Tuning to Large Language Models. - Alan Ansell; Ivan Vulic; Hannah Sterz; Anna Korhonen; Edoardo M. Ponti (CoRR, 2024)

Training Plug-n-Play Knowledge Modules with Deep Context Distillation. - Lucas Caccia; Alan Ansell; Edoardo M. Ponti; Ivan Vulic; Alessandro Sordoni (CoRR, 2025)

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution. - Qiao Xiao; Alan Ansell; Boqian Wu; Lu Yin 006; Mykola Pechenizkiy; Shiwei Liu 003; Decebal Constantin Mocanu (CoRR, 2025)