most citedImproving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023

Text Representation Distillation via Information Bottleneck Principle

Yanzhao Zhang, Dingkun Long, Zehan Li +1

Pre-trained language models (PLMs) have recently shown great success in text representation field. However, the high computational cost and high-dimensional representation of PLMs…

cs.IR2023★ 1 cited

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval

Zehan Li, Yanzhao Zhang, Dingkun Long +1

Recently, various studies have been directed towards exploring dense passage retrieval techniques employing pre-trained language models, among which the masked auto-encoder (MAE) p…

eess.AS2022★ 1 cited

Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies

Zehan Li, Haoran Miao, Keqi Deng +4

There is often a trade-off between performance and latency in streaming automatic speech recognition (ASR). Traditional methods such as look-ahead and chunk-based methods, usually…