Jingjing Xu

Orcid: 0000-0002-5763-8369

Affiliations:
  • Shanghai AI Lab, China
  • ByteDance AI Lab, China (2020 - 2021)
  • Peking University, School of EECS, MOE Key Lab of Computational Linguistics, Beijing, China (PhD 2020)


According to our database1, Jingjing Xu authored at least 60 papers between 2016 and 2024.

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

Timeline

2016
2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

A Survey on In-context Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Extrapolating Large Language Models to Non-English by Aligning Languages.
CoRR, 2023

M<sup>3</sup>IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.
CoRR, 2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.
CoRR, 2023

Statistical Knowledge Assessment for Generative Language Models.
CoRR, 2023

A Survey for In-context Learning.
CoRR, 2023

Statistical Knowledge Assessment for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can We Edit Factual Knowledge by In-Context Learning?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Extrapolating Multilingual Understanding Models as Multilingual Generators.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Language Models Understand Physical Concepts?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation.
CoRR, 2022

Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models.
CoRR, 2022

MTG: A Benchmark Suite for Multilingual Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Calibrating Factual Knowledge in Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contextual Representation Learning beyond Masked Language Modeling.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A Survey on Green Deep Learning.
CoRR, 2021

MTG: A Benchmarking Suite for Multilingual Text Generation.
CoRR, 2021

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

KNAS: Green Neural Architecture Search.
Proceedings of the 38th International Conference on Machine Learning, 2021

Vocabulary Learning via Optimal Transport 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
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.
IEEE Trans. Knowl. Data Eng., 2020

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation.
CoRR, 2020

Graph-based Multi-hop Reasoning for Long Text Generation.
CoRR, 2020

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reasoning Over Semantic-Level Graph for Fact Checking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning.
CoRR, 2019

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation.
CoRR, 2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model.
CoRR, 2019

Learning Unsupervised Word Mapping via Maximum Mean Discrepancy.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Knowledge-Aware Conversational Semantic Parsing over Web Tables.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network Based on HowNet.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Understanding and Improving Layer Normalization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Asking Clarification Questions in Knowledge-Based Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.
CoRR, 2018

Knowledge-Aware Conversational Semantic Parsing Over Web Tables.
CoRR, 2018

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet.
CoRR, 2018

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.
CoRR, 2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.
CoRR, 2018

Learning Sentiment Memories for Sentiment Modification without Parallel Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.
CoRR, 2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning.
CoRR, 2017

Minimal Effort Back Propagation for Convolutional Neural Networks.
CoRR, 2017

Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
CoRR, 2017

Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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