4 papers
Dolphin-CN-Dialect: Where Chinese Dialects Matter
Yangyang Meng, Huihang Zhong, Guodong Lin +6
We present Dolphin-CN-Dialect, a streaming-capable ASR model with a focus on Chinese and dialect-rich scenarios. Compared to the previous version, Dolphin-CN-Dialect introduces sub…
Do Language Models Reason Across Languages?
Yan Meng, Wafaa Mohammed, Christof Monz
The real-world information sources are inherently multilingual, which naturally raises a question about whether language models can synthesize information across languages. In this…
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
Sergey Troshin, Wafaa Mohammed, Yan Meng +3
Diversity is an essential metric for evaluating the creativity of outputs generated by language models. Temperature-based sampling is a common strategy to increase diversity. Howev…
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
Yan Meng, Di Wu, Christof Monz
The massive amounts of web-mined parallel data contain large amounts of noise. Semantic misalignment, as the primary source of the noise, poses a challenge for training machine tra…