Papers by Felicia Körner
ltzGLUE: Luxembourgish General Language Understanding Evaluation (2026.findings-acl)
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Alistair Plum, Felicia Körner, Anne-Marie Lutgen, Laura Bernardy, Fred Philippy, Emilia Milano, Nils Rehlinger, Cedric Lothritz, Tharindu Ranasinghe, Barbara Plank, Christoph Purschke
| Challenge: | ltzGLUE is the first official NLU benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English. |
| Approach: | They propose a new natural language understanding (NLU) benchmark for Luxembourgish based on the popular GLUE benchmark for English. |
| Outcome: | The proposed model performs well across many languages and is based on the GLUE benchmark for English. |
When Meanings Meet: Investigating the Emergence and Quality of Shared Concept Spaces during Multilingual Language Model Training (2026.eacl-long)
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| Challenge: | Recent studies have found that Large Language Models process multilingual inputs in shared concept spaces, thought to support generalization and cross-lingual transfer. |
| Approach: | They investigate the development of language-agnostic concept spaces during pretraining of EuroLLM using the causal interpretability method of activation patching. |
| Outcome: | The proposed model is language-agnostic and enables cross-lingual transfer . the model is able to process multilingual inputs, but lacks cross-linguistic alignment . |
Tracing Multilingual Factual Knowledge Acquisition in Pretraining (2025.findings-emnlp)
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Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Felicia Körner, Ercong Nie, Barbara Plank, François Yvon, Hinrich Schuetze
| Challenge: | Large Language Models are capable of recalling multilingual factual knowledge, but most studies evaluate only the final model, leaving the development of factual recall and crosslingual consistency unexplored. |
| Approach: | They trace how factual recall and crosslingual consistency evolve during pretraining, focusing on OLMo-7B as a case study. |
| Outcome: | The results show that fact frequency is the key to a better recall of multilingual facts, regardless of language, and some low-frequency facts in non-English languages can still be correctly recalled. |