"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer

30 June 2022

Papers citing ""Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer"

4 / 4 papers shown

Title
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains Chencheng Zhu Kazutaka Shimada Tomoki Taniguchi Tomoko Ohkuma 33 0 0 31 Dec 2024
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance Chenxi Whitehouse Monojit Choudhury Alham Fikri Aji SyDa LRM 27 68 0 23 May 2023
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer Shanu Kumar Abbaraju Soujanya Sandipan Dandapat Sunayana Sitaram Monojit Choudhury VLM 25 1 0 04 Mar 2023
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora Ouyang Xuan Shuohuan Wang Chao Pang Yu Sun Hao Tian Hua-Hong Wu Haifeng Wang 51 100 0 31 Dec 2020