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20192024
most citedDecoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

26 citations · 68 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024

CMU's IWSLT 2024 Simultaneous Speech Translation System

Xi Xu, Siqi Ouyang, Brian Yan +5

This paper describes CMU's submission to the IWSLT 2024 Simultaneous Speech Translation (SST) task for translating English speech to German text in a streaming manner. Our end-to-e…

cs.CL2022★ 1 cited

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models

Jingjing Xu, Qingxiu Dong, Hongyi Liu +1

With increasing scale, large language models demonstrate both quantitative improvement and new qualitative capabilities, especially as zero-shot learners, like GPT-3. However, thes…

cs.CL2022★ 26 cited

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Xiang Chen, Lei Li, Ningyu Zhang +6

Prompt learning approaches have made waves in natural language processing by inducing better few-shot performance while they still follow a parametric-based learning paradigm; the…

cs.CL2022★ 5 cited

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

Ningyu Zhang, Xin Xu, Liankuan Tao +19

We present an open-source and extensible knowledge extraction toolkit DeepKE, supporting complicated low-resource, document-level and multimodal scenarios in the knowledge base pop…

cs.CL2020★ 6 cited

NeurST: Neural Speech Translation Toolkit

Chengqi Zhao, Mingxuan Wang, Qianqian Dong +2

NeurST is an open-source toolkit for neural speech translation. The toolkit mainly focuses on end-to-end speech translation, which is easy to use, modify, and extend to advanced sp…

cs.CL2020★ 1 cited

Volctrans Parallel Corpus Filtering System for WMT 2020

Runxin Xu, Zhuo Zhi, Jun Cao +2

In this paper, we describe our submissions to the WMT20 shared task on parallel corpus filtering and alignment for low-resource conditions. The task requires the participants to al…

cs.CL2020★ 13 cited

"Listen, Understand and Translate": Triple Supervision Decouples End-to-end Speech-to-text Translation

Qianqian Dong, Rong Ye, Mingxuan Wang +4

An end-to-end speech-to-text translation (ST) takes audio in a source language and outputs the text in a target language. Existing methods are limited by the amount of parallel cor…