3 papers
cs.CL2026
Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency
Lucas Bandarkar, Alan Ansell, Trevor Cohn
Modern LLMs continue to exhibit significant variance in behavior across languages, such as being able to recall factual information in some languages but not others. While typicall…
cs.CL2026
Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts
Lucas Bandarkar, Alan Ansell, Trevor Cohn
In this work, we analyze shortcomings in cross-lingual knowledge transfer in large, modern reasoning LLMs. We demonstrate that the perceived gap in knowledge transfer is primarily…
cs.LG2025
Training Plug-n-Play Knowledge Modules with Deep Context Distillation
Lucas Caccia, Alan Ansell, Edoardo Ponti +2
Dynamically integrating new or rapidly evolving information after (Large) Language Model pre-training remains challenging, particularly in low-data scenarios or when dealing with p…