activity
20242026
collaborators

11 papers

cs.CL2026

LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish Documents

Omar El Bachyr, Fred Philippy, Laura Maria Bernardy +3

Recent page-image retrievers such as ColPali have improved retrieval over visually rich documents, yet little is known about how they behave in cross-lingual, low-resource settings…

cs.CL2026

When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning

Fred Philippy, Siwen Guo, Jacques Klein +1

Cross-lingual transfer in multilingual NLP has been widely explored in supervised fine-tuning contexts, where factors like data availability and linguistic similarity largely deter…

cs.CL2026

Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?

Prateek Rajput, Yewei Song, Iyiola E. Olatunji +2

Can large language models reliably express a human-like personality, or are they merely mimicking surface cues without a stable underlying profile? To investigate this, we induce p…

cs.CL2026

Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish

Fred Philippy, Siwen Guo, Jacques Klein +1

Cross-lingual transfer has become a central paradigm for extending natural language processing (NLP) technologies to low-resource languages. By leveraging supervision from high-res…

cs.CL2026

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG

Omar El Bachyr, Yewei Song, Saad Ezzini +5

PDF files are primarily intended for human reading rather than automated processing. In addition, the heterogeneous content of PDFs, such as text, tables, and images, poses signifi…

cs.CL2026

Do Large Language Models Grasp The Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish

Lujun Li, Yewei Song, Lama Sleem +7

Grammar refers to the system of rules that governs the structural organization and the semantic relations among linguistic units such as sentences, phrases, and words within a give…