Fuli Luo

Orcid: 0000-0002-5403-6434

According to our database1, Fuli Luo authored at least 41 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence.
CoRR, 2024

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.
CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
CoRR, 2024

2023
Construction of quality evaluation indicator system for diamond discrete global grid systems.
Int. J. Digit. Earth, December, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

2022
A GtoG Direct Coding Mapping Method for Multi-Type Global Discrete Grids Based on Space Filling Curves.
ISPRS Int. J. Geo Inf., December, 2022

On Effectively Learning of Knowledge in Continual Pre-training.
CoRR, 2022

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Correlation Analysis and Reconstruction of the Geometric Evaluation Indicator System of the Discrete Global Grid.
ISPRS Int. J. Geo Inf., 2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels.
CoRR, 2021

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rethinking Denoised Auto-Encoding in Language Pre-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-Granularity Contrasting for Cross-Lingual Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.
CoRR, 2020

CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations.
CoRR, 2020

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions.
CoRR, 2020

2019
Cross-language document summarization via extraction and ranking of multiple summaries.
Knowl. Inf. Syst., 2019

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

Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pun-GAN: Generative Adversarial Network for Pun Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Fine-grained Text Sentiment Transfer.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Control the Fine-grained Sentiment for Story Ending Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Comprehensive Description Generation from Factual Attribute-value Tables.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Glosses into Neural Word Sense Disambiguation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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