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Found 8 papers, 1 papers with code
The NiuTrans System for the WMT20 Quality Estimation Shared Task
This paper describes the submissions of the NiuTrans Team to the WMT 2020 Quality Estimation Shared Task.
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models
However, as demand for more complex and flexible image descriptions grows, enhancing comprehension of input text within the ICL paradigm remains a critical yet underexplored area.
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization
Large language models (LLMs) exhibit exceptional performance across various downstream tasks.
Recent Advances in End-to-End Simultaneous Speech Translation
Simultaneous speech translation (SimulST) is a demanding task that involves generating translations in real-time while continuously processing speech input.
Efficient Prompting Methods for Large Language Models: A Survey
Prompting is a mainstream paradigm for adapting large language models to specific natural language processing tasks without modifying internal parameters.
Prompting Neural Machine Translation with Translation Memories
Improving machine translation (MT) systems with translation memories (TMs) is of great interest to practitioners in the MT community.
The NiuTrans Machine Translation Systems for WMT21
This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks.
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction
Our experiments show that this simple method does not hamper the performance of similar language pairs and achieves an accuracy of 13. 64~55. 53% between English and four distant languages, i. e., Chinese, Japanese, Vietnamese and Thai.
