Xing Wang

Orcid: 0000-0002-0737-9653

Affiliations:
  • Tencent AI Lab.
  • Soochow University, School of Computer Science and Technology, Institute of Artificial Intelligence, Suzhou, China (PhD 2018)


According to our database1, Xing Wang authored at least 60 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Exploring Human-Like Translation Strategy with Large Language Models.
Trans. Assoc. Comput. Linguistics, 2024

Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models.
CoRR, 2024

CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration.
CoRR, 2024

Improving Gloss-free Sign Language Translation by Reducing Representation Density.
CoRR, 2024

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.
CoRR, 2024

DrugAssist: A Large Language Model for Molecule Optimization.
CoRR, 2024

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation.
Proceedings of the Ninth Conference on Machine Translation, 2024

Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Addressing Entity Translation Problem via Translation Difficulty and Context Diversity.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unsupervised Sign Language Translation and Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models.
CoRR, 2023

ParroT: Translating During Chat Using Large Language Models.
CoRR, 2023

Is ChatGPT A Good Translator? A Preliminary Study.
CoRR, 2023

Cross-modality Data Augmentation for End-to-End Sign Language Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Learning to refine source representations for neural machine translation.
Int. J. Mach. Learn. Cybern., 2022

Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
On the diversity of multi-head attention.
Neurocomputing, 2021

TranSmart: A Practical Interactive Machine Translation System.
CoRR, 2021

Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Tencent Translation System for the WMT21 News Translation Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Novel Sentence-Level Agreement Architecture for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Exploiting deep representations for natural language processing.
Neurocomputing, 2020

Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models.
CoRR, 2020

Tencent Neural Machine Translation Systems for the WMT20 News Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

Incorporating Phrase-Level Agreement into Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Does Selective Mechanism Improve Self-Attention Networks?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neuron Interaction Based Representation Composition for Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Information Aggregation for Multi-Head Attention with Routing-by-Agreement.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Modeling Recurrence for Transformer.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Self-Attention with Structural Position Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

One Model to Learn Both: Zero Pronoun Prediction and Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Understanding Neural Machine Translation with Word Importance.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Granularity Self-Attention for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Sentential Context for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Context-Aware Self-Attention Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning to Refine Source Representations for Neural Machine Translation.
CoRR, 2018

Exploiting Deep Representations for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Translating Phrases in Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation Advised by Statistical Machine Translation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Topic-Based Coherence Modeling for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
A Topic-Based Reordering Model for Statistical Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Effective Selection of Translation Model Training Data.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Rule Refinement for Spoken Language Translation by Retrieving the Missing Translation of Content Words.
Proceedings of the 2013 International Conference on Asian Language Processing, 2013

Phrase Filtering for Content Words in Hierarchical Phrase-Based Model.
Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013


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