Image de couverture de livre

Do LLMs Know What Luxembourgish Borrows? Probing Lexical Neology in Low-Resource Multilingual Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Hosseini-Kivanani, Nina
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LuxBorrow: From Pompier to Pompjee, Tracing Borrowing in Luxembourgish
par: Hosseini-Kivanani, Nina, et autres
Publié: (2026)

PolyFrame at MWE-2026 AdMIRe 2: When Words Are Not Enough: Multimodal Idiom Disambiguation
par: Hosseini-Kivanani, Nina
Publié: (2026)

Adapting Multilingual Embedding Models to Historical Luxembourgish
par: Michail, Andrianos, et autres
Publié: (2025)

Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing
par: Zhao, Raoyuan, et autres
Publié: (2025)

Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish
par: Lothritz, Cedric, et autres
Publié: (2025)

Do Large Language Models Grasp The Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish
par: Li, Lujun, et autres
Publié: (2025)

Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy
par: Plum, Alistair, et autres
Publié: (2024)

Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations
par: Wang, Haoran, et autres
Publié: (2026)

Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments
par: Milano, Emilia, et autres
Publié: (2026)

What Do LLMs Know About Alzheimer's Disease? Multi-loss Fine-Tuning and Probing for AD Detection
par: Jiang, Lei, et autres
Publié: (2026)

Neologism Learning for Controllability and Self-Verbalization
par: Hewitt, John, et autres
Publié: (2025)

From 124 Million Tokens to 1,021 Neologisms: A Large-Scale Pipeline for Automatic Neologism Detection
par: Rossini, Diego, et autres
Publié: (2026)

Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish
par: Philippy, Fred, et autres
Publié: (2026)

Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish
par: Philippy, Fred, et autres
Publié: (2024)

LLM Probe: Evaluating LLMs for Low-Resource Languages
par: Teklehaymanot, Hailay Kidu, et autres
Publié: (2026)

Do LLMs Really Know What They Don't Know? Internal States Mainly Reflect Knowledge Recall Rather Than Truthfulness
par: Cheang, Chi Seng, et autres
Publié: (2025)

Do Large Language Models Know What They Are Capable Of?
par: Barkan, Casey O., et autres
Publié: (2025)

NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
par: Zheng, Jonathan, et autres
Publié: (2024)

Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?
par: Zhong, Chengzhi, et autres
Publié: (2024)

LLMs Learn Constructions That Humans Do Not Know
par: Dunn, Jonathan, et autres
Publié: (2025)

Do LLMs Know to Respect Copyright Notice?
par: Xu, Jialiang, et autres
Publié: (2024)

Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
par: Li, Haolin, et autres
Publié: (2025)

Capacity Constraints and the Multilingual Penalty for Lexical Disambiguation
par: Trott, Sean, et autres
Publié: (2026)

Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
par: Cacioli, Jon-Paul
Publié: (2026)

Knowing But Not Doing: Convergent Morality and Divergent Action in LLMs
par: Huang, Jen-tse, et autres
Publié: (2026)

ltzGLUE: Luxembourgish General Language Understanding Evaluation
par: Plum, Alistair, et autres
Publié: (2026)

LuxBank: The First Universal Dependency Treebank for Luxembourgish
par: Plum, Alistair, et autres
Publié: (2024)

Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs
par: Ding, Zhikai, et autres
Publié: (2025)

TajPersLexon: A Tajik-Persian Lexical Resource and Hybrid Model for Cross-Script Low-Resource NLP
par: Arabov, Mullosharaf K.
Publié: (2026)

Neologism Learning as a Parameter-Efficient Alternative to Fine-Tuning for Model Steering
par: Park, Sungjoon, et autres
Publié: (2025)

Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages
par: Su, Zeli, et autres
Publié: (2025)

EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs
par: Yeom, Jewon, et autres
Publié: (2026)

Are Language Models Borrowing-Blind? A Multilingual Evaluation of Loanword Identification across 10 Languages
par: Silva, Mérilin Sousa, et autres
Publié: (2025)

On Multilingual Encoder Language Model Compression for Low-Resource Languages
par: Gurgurov, Daniil, et autres
Publié: (2025)

KnowRL: Teaching Language Models to Know What They Know
par: Kale, Sahil, et autres
Publié: (2025)

Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
par: Madhusudhan, Nishanth, et autres
Publié: (2024)

Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
par: Gurgurov, Daniil, et autres
Publié: (2024)

Do Language Models Know When They'll Refuse? Probing Introspective Awareness of Safety Boundaries
par: Gondil, Tanay
Publié: (2026)

Do Multilingual LLMs have specialized language heads?
par: Naufil, Muhammad
Publié: (2026)

Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge
par: Tanwar, Eshaan, et autres
Publié: (2025)