Shaolin Zhu
Orcid: 0000-0001-7948-4375
According to our database1,
Shaolin Zhu authored at least 37 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs.
CoRR, May, 2026
VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation.
CoRR, May, 2026
CoRR, May, 2026
MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation.
CoRR, April, 2026
AMART: A multi-agent reflective framework for detecting and correcting faithfulness errors in translation.
Inf. Process. Manag., 2026
2025
FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation.
CoRR, May, 2025
CoLE: A collaborative legal expert prompting framework for large language models in law.
Knowl. Based Syst., 2025
Overcoming language barriers via machine translation with sparse Mixture-of-Experts fusion of large language models.
Inf. Process. Manag., 2025
Expert Syst. Appl., 2025
DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs.
Knowl. Inf. Syst., January, 2024
LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation.
CoRR, 2024
Enhancing Aspect-based Sentiment Analysis in Tourism Using Large Language Models and Positional Information.
CoRR, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
Towards Robust In-Context Learning for Machine Translation with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023
Investigating Performance of BDS-2+3 Dual-Frequency Absolute Positioning With Broadcast Ephemerides, RTS and Final MGEX Products.
IEEE Access, 2023
TJUNLP: System Description for the WMT23 Literary Task in Chinese to English Translation Direction.
Proceedings of the Eighth Conference on Machine Translation, 2023
Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2021
Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021
2020
Extracting Parallel Sentences from Nonparallel Corpora Using Parallel Hierarchical Attention Network.
Comput. Intell. Neurosci., 2020
An Improved QZSS Satellite Clock Offsets Prediction Based on the Extreme Learning Machine Method.
IEEE Access, 2020
Corrections to "A New Cycle Slip Detection and Repair Method for Galileo Four-Frequency Observations".
IEEE Access, 2020
A New Cycle Slip Detection and Repair Method for Galileo Four-Frequency Observations.
IEEE Access, 2020