Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+
Languages

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages

18 June 2024

Fabian David Schmidt

Philipp Borchert

Goran Glavaš

Papers citing "Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages"

5 / 5 papers shown

Title
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild Saad Obaid ul Islam Anne Lauscher Goran Glavas HILM LRM 112 1 0 21 Feb 2025
Language Fusion for Parameter-Efficient Cross-lingual Transfer Philipp Borchert Ivan Vulić Marie-Francine Moens Jochen De Weerdt 36 0 0 12 Jan 2025
LLMs are Also Effective Embedding Models: An In-depth Overview Chongyang Tao Tao Shen Shen Gao Junshuo Zhang Zhen Li Zhengwei Tao Shuai Ma 68 7 0 17 Dec 2024
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet? E. Razumovskaia Ivan Vulić Anna Korhonen 29 5 0 04 Mar 2024
Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead? T. Isbister F. Carlsson Magnus Sahlgren 40 24 0 21 Apr 2021