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Yihong Liu
Yihong Liu
PhD Student in CIS, LMU Munich
Verified email at cis.lmu.de - Homepage
Title
Cited by
Cited by
Year
A Crosslingual Investigation of Conceptualization in 1335 Languages
Y Liu, H Ye, L Weissweiler, P Wicke, R Pei, R Zangenfeind, H Schütze
ACL 2023, 2023
72023
Flow-Adapter Architecture for Unsupervised Machine Translation
Y Liu, H Jabbar, H Schütze
ACL 2022, 2022
72022
Crosslingual transfer learning for low-resource languages based on multilingual colexification graphs
Y Liu, H Ye, L Weissweiler, R Pei, H Schütze
EMNLP 2023 Findings, 2023
52023
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
Y Liu, C Ma, H Ye, H Schütze
ACL 2024, 2024
42024
Ofa: A framework of initializing unseen subword embeddings for efficient large-scale multilingual continued pretraining
Y Liu, P Lin, M Wang, H Schütze
NAACL 2024 Findings, 2023
42023
A study of conceptual language similarity: comparison and evaluation
H Ye, Y Liu, H Schütze
arXiv preprint arXiv:2305.13401, 2023
32023
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data
Y Liu, C Ma, H Ye, H Schütze
arXiv preprint arXiv:2405.09913, 2024
12024
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
Y Liu, A Chronopoulou, H Schütze, A Fraser
IWSLT 2023, 2023
12023
A label-oriented loss function for learning sentence representations
Y Liu, W Guan, D Lu, X Zou
Computer Speech & Language 66, 101165, 2021
12021
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts
C Ma, Y Liu, H Ye, H Schütze
arXiv preprint arXiv:2407.02320, 2024
2024
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
O Xhelili, Y Liu, H Schütze
arXiv preprint arXiv:2406.19759, 2024
2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
H Ye, Y Liu, C Ma, H Schütze
Workshop on Insights from Negative Results in NLP (insights) @ NAACL 2024, 2024
2024
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