Publications

2024

• Jinliang Lu and Jiajun Zhang. Improving Unsupervised Neural Machine Translation via Training Data Self-Correction. In Proceedings of 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Accepted.
• Yangyifan Xu †, Jinliang Lu † (Equal Contribution) and Jiajun Zhang. Bridging the Gap between Different Vocabularies for LLM Ensemble. In Proceedings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024). Accepted.
• Chong Li, Wen Yang, Jiajun Zhang, Jinliang Lu, Shaonan Wang, Chengqing Zong. X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions. In Findings of of the Association for Computational Linguistics: ACL 2024. Accepted.

2023

• Jinliang Lu, Yu Lu and Jiajun Zhang. Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only. In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pp.2891–2907.
• Jinliang Lu and Jiajun Zhang. Towards Unified Multi-Domain Machine Translation with Mixture of Domain Experts. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2023, 31: 3488-3498.
• Jinliang Lu, Feihu Jin and Jiajun Zhang. Adapter Tuning With Task-Aware Attention Mechanism. In Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 2-10, 2023, pp.1-5.
• Feihu Jin, Jinliang Lu and Jiajun Zhang. Unified Prompt Learning Makes Pre-Trained Language Models Better Few-shot Learners. In Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 2-10, 2023, pp.1-5.
• Feihu Jin, Jinliang Lu, Jiajun Zhang, Chengqing Zong.Instance-Aware Prompt Learning for Language Understanding and Generation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2023, 22:1-18.
• Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang. BLSP: Bootstrapping Language-Speech Pre-Training via Behavior Alignment of Continuation Writing. arXiv preprint. arXiv: 2309.00916.

2021

• Jinliang Lu and Jiajun Zhang. Exploiting Curriculum Learning in Unsupervised Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2021, Online, November 7-11, 2021, pp. 924–934.

2019

• Jinliang Lu and Jiajun Zhang. Select the Best Translation from Different Systems without Reference. In Proceedings of Natural Language Processing and Chinese Computing: 8th CCF International Conference (NLPCC 2019), Dunhuang, China, October 9–14, 2019, pp.355-366.
• 陆金梁，张家俊。基于多语言预训练语言模型的译文质量估计方法。厦门大学学报：自然科学版59(2): 151-158.