Yihong Liu
Orcid: 0000-0003-1073-0958Affiliations:
- Ludwig Maximilian University of Munich (LMU), Center for Information and Language Processing, Munich Center for Machine Learning (MCML), Munich, Germany
- Southwest University, College of Computer and Information Science, Chongqing, China (former)
According to our database1,
Yihong Liu
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding.
CoRR, July, 2025
HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization.
CoRR, April, 2025
CoRR, February, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
CoRR, 2024
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts.
CoRR, 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer.
CoRR, 2024
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
CoRR, 2023
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Comput. Speech Lang., 2021