Who cites «Do Large Language Models Understand Word Senses?»

14 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
EVWSD-ITA at EVALITA 2026: Overview of the Enhanced Visual Word Sense Disambiguation for Italian Task — 2026 · Proceedings of the Ninth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026)
From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs — 2026 · Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion
From Sparse to Sense-Grounded: Wikipedia Training for Ukrainian Visual-WSD — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
Wiktionary as a Crowdsourced Lexicon for English Dialects — our card · 2026 · arXiv:2608.15641
bai-2026-ynu-hpcc-semeval-2026-task
basil-2026-ualberta-semeval-2026-task-5
giovannetti-2026-extending-semantic-layer-compl-it
gnecco-2026-verbanexai-semeval-2026-task-5
islam-2026-cognac-semeval-2026-task-5
kang-2026-wsdpo-generative-word-sense-disambiguation
shuvo-2026-name-name-benchmark-dataset-distilled
sumanathilaka-2026-exploration-analysis-disambiguation-reasoning-framework