1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
Xiao Cui, Mo Zhu, Yulei Qin +3
Knowledge distillation (KD) has become a prevalent technique for compressing large language models (LLMs). Existing KD methods are constrained by the need for identical tokenizers…
cs.CL2019★ 1 cited
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
Injy Hamed, Moritz Zhu, Mohamed Elmahdy +2
Code-switching (CS) is a widespread phenomenon among bilingual and multilingual societies. The lack of CS resources hinders the performance of many NLP tasks. In this work, we expl…