NLPExplorer

Minh Thang Luong

Number of Papers:- 31

Number of Citations:- 836

First ACL Paper:- 2010

Latest ACL Paper:- 2024

Venues:-

CoNLL

COLING

EMNLP

Findings

LatentVar

CogACLL

TACL

ACL

EACL

*SEMEVAL

IJCNLP

IWSLT

NMT

Co-Authors:-

Similar Authors:-

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation F i n d i n g s - A C L

Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation EACL

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference EMNLP Findings

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning EMNLP

Pre-Training Transformers as Energy-Based Cloze Models EMNLP

Kevin Clark | Minh-Thang Luong | Quoc Le | Christopher D. Manning |

Proceedings of the 3rd Workshop on Neural Generation and Translation EMNLP WS

Findings of the Third Workshop on Neural Generation and Translation EMNLP WS

BAM! Born-Again Multi-Task Networks for Natural Language Understanding ACL

Semi-Supervised Sequence Modeling with Cross-View Training EMNLP

Kevin Clark | Minh-Thang Luong | Christopher D. Manning | Quoc Le |

Proceedings of the 2nd Workshop on Neural Machine Translation and Generation ACL WS

Findings of the Second Workshop on Neural Machine Translation and Generation ACL WS

Efficient Attention using a Fixed-Size Memory Representation EMNLP

Denny Britz | Melody Guan | Minh-Thang Luong |

Massive Exploration of Neural Machine Translation Architectures EMNLP

Denny Britz | Anna Goldie | Minh-Thang Luong | Quoc Le |

Proceedings of the First Workshop on Neural Machine Translation NMT WS

Thang Luong | Alexandra Birch | Graham Neubig | Andrew Finch |

Compression of Neural Machine Translation Models via Pruning CoNLL

Abigail See | Minh-Thang Luong | Christopher D. Manning |

Models and Inference for Prefix-Constrained Machine Translation ACL

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models ACL

Minh-Thang Luong | Christopher D. Manning |

Effective Approaches to Attention-based Neural Machine Translation EMNLP

Thang Luong | Hieu Pham | Christopher D. Manning |

When Are Tree Structures Necessary for Deep Learning of Representations? EMNLP

Jiwei Li | Thang Luong | Dan Jurafsky | Eduard Hovy |

Deep Neural Language Models for Machine Translation CoNLL

Thang Luong | Michael Kayser | Christopher D. Manning |

Addressing the Rare Word Problem in Neural Machine Translation ACL IJCNLP

A Hierarchical Neural Autoencoder for Paragraphs and Documents ACL IJCNLP

Jiwei Li | Thang Luong | Dan Jurafsky |

Learning Distributed Representations for Multilingual Text Sequences LatentVar WS

Hieu Pham | Thang Luong | Christopher Manning |

Bilingual Word Representations with Monolingual Quality in Mind LatentVar WS

Thang Luong | Hieu Pham | Christopher D. Manning |

Evaluating Models of Computation and Storage in Human Sentence Processing CogACLL WS

Thang Luong | Timothy O’Donnell | Noah Goodman |

Stanford neural machine translation systems for spoken language domains IWSLT

Minh-Thang Luong | Christopher Manning |

Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning TACL

Minh-Thang Luong | Michael C. Frank | Mark Johnson |

Better Word Representations with Recursive Neural Networks for Morphology CoNLL WS

Thang Luong | Richard Socher | Christopher Manning |

Enhancing Morphological Alignment for Translating Highly Inflected Languages COLING

Minh-Thang Luong | Min-Yen Kan |

A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages EMNLP

Minh-Thang Luong | Preslav Nakov | Min-Yen Kan |

WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure *SEMEVAL

Thuy Dung Nguyen | Minh-Thang Luong |