13 citations · 59 across the 34 of their papers we have counts for
8 papers · 1 filter
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation
Shaolei Zhang, Yang Feng
Simultaneous sequence generation is a pivotal task for real-time scenarios, such as streaming speech recognition, simultaneous machine translation and simultaneous speech translati…
Simultaneous Machine Translation with Tailored Reference
Shoutao Guo, Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) generates translation while reading the whole source sentence. However, existing SiMT models are typically trained using the same reference…
Non-autoregressive Streaming Transformer for Simultaneous Translation
Zhengrui Ma, Shaolei Zhang, Shoutao Guo +3
Simultaneous machine translation (SiMT) models are trained to strike a balance between latency and translation quality. However, training these models to achieve high quality while…
Glancing Future for Simultaneous Machine Translation
Shoutao Guo, Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) outputs translation while reading the source sentence. Unlike conventional sequence-to-sequence (seq2seq) training, existing SiMT methods ad…
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models
Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang +8
Large language models (LLMs) have demonstrated remarkable prowess in language understanding and generation. Advancing from foundation LLMs to instructionfollowing LLMs, instruction…
End-to-End Simultaneous Speech Translation with Differentiable Segmentation
Shaolei Zhang, Yang Feng
End-to-end simultaneous speech translation (SimulST) outputs translation while receiving the streaming speech inputs (a.k.a. streaming speech translation), and hence needs to segme…
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search
Shoutao Guo, Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) starts to output translation while reading the source sentence and needs a precise policy to decide when to output the generated translation…
Hidden Markov Transformer for Simultaneous Machine Translation
Shaolei Zhang, Yang Feng
Simultaneous machine translation (SiMT) outputs the target sequence while receiving the source sequence, and hence learning when to start translating each target token is the core…