Shanbo Cheng

Orcid: 0000-0002-6115-9483

According to our database1, Shanbo Cheng authored at least 25 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions.
Trans. Assoc. Comput. Linguistics, 2024

Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent.
CoRR, 2024

MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Speech Translation with Large Language Models: An Industrial Practice.
CoRR, 2023

Only 5% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Visual Information Matters for ASR Error Correction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Controlling Styles in Neural Machine Translation with Activation Prompt.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation.
CoRR, 2022

Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation.
CoRR, 2022

Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts.
CoRR, 2022

switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21.
Proceedings of the Sixth Conference on Machine Translation, 2021

Learning Kernel-Smoothed Machine Translation with Retrieved Examples.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Language Tags Matter for Zero-Shot Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
AR: Auto-Repair the Synthetic Data for Neural Machine Translation.
CoRR, 2020

Language-aware Interlingua for Multilingual Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Alibaba's Neural Machine Translation Systems for WMT18.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

2017
Sogou Neural Machine Translation Systems for WMT17.
Proceedings of the Second Conference on Machine Translation, 2017

2016
PRIMT: A Pick-Revise Framework for Interactive Machine Translation.
Proceedings of the NAACL HLT 2016, 2016


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