Jinliang Lu

Orcid: 0000-0002-5395-2385

According to our database1, Jinliang Lu authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models.
CoRR, 2024

Diver: Large Language Model Decoding with Span-Level Mutual Information Verification.
CoRR, 2024

Bridging the Gap between Different Vocabularies for LLM Ensemble.
CoRR, 2024

Bridging the Gap between Different Vocabularies for LLM Ensemble.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Improving Unsupervised Neural Machine Translation via Training Data Self-Correction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Instance-Aware Prompt Learning for Language Understanding and Generation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing.
CoRR, 2023

Adapter Tuning With Task-Aware Attention Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unified Prompt Learning Makes Pre-Trained Language Models Better Few-Shot Learners.
Proceedings of the IEEE International Conference on Acoustics, 2023

Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
Learning Trajectory Patterns via Canonical Correlation Analysis.
Int. J. Cogn. Informatics Nat. Intell., 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.
CoRR, 2021

Exploiting Curriculum Learning in Unsupervised Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019
Select the Best Translation from Different Systems Without Reference.
Proceedings of the Natural Language Processing and Chinese Computing, 2019


  Loading...