NLPExplorer

Li Dong

Number of Papers:- 46

Number of Citations:- 202

First ACL Paper:- 2014

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

EMNLP

Findings

ECNLP

ACL

EACL

WMT

*SEMEVAL

IJCNLP

AACL

Co-Authors:-

Similar Authors:-

Language Models as Inductive Reasoners EACL

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers F i n d i n g s - A C L

Pre-Training to Learn in Context ACL

Yuxian Gu | Li Dong | Furu Wei | Minlie Huang |

A Length-Extrapolatable Transformer ACL

GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator ACL

Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning ACL

CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment ACL

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL Findings

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA ACL

StableMoE: Stable Routing Strategy for Mixture of Experts ACL

Controllable Natural Language Generation with Contrastive Prefixes ACL Findings

Knowledge Neurons in Pretrained Transformers ACL

CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation F i n d i n g s - E M N L P

AdaPrompt: Adaptive Model Training for Prompt-based NLP F i n d i n g s - E M N L P

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL

Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders EMNLP

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs EMNLP

Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains Findings

Memory-Efficient Differentiable Transformer Architecture Search Findings

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers Findings

Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task EMNLP WMT

A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents ACL ECNLP IJCNLP

Li Dong | Matthew C. Spencer | Amir Biagi |

Consistency Regularization for Cross-Lingual Fine-Tuning ACL IJCNLP

Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training EMNLP

Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment ACL IJCNLP

Learning to Sample Replacements for ELECTRA Pre-Training Findings

Harvesting and Refining Question-Answer Pairs for Unsupervised QA ACL

Investigating Learning Dynamics of BERT Fine-Tuning AACL

Yaru Hao | Li Dong | Furu Wei | Ke Xu |

Can Monolingual Pretrained Models Help Cross-Lingual Classification? AACL

Visualizing and Understanding the Effectiveness of BERT EMNLP

Yaru Hao | Li Dong | Furu Wei | Ke Xu |

Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension EMNLP WS

Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation CoNLL

Xiao Huang | Li Dong | Elizabeth Boschee | Nanyun Peng |

Data-to-text Generation with Entity Modeling ACL

Ratish Puduppully | Li Dong | Mirella Lapata |

Learning to Ask Unanswerable Questions for Machine Reading Comprehension ACL

Coarse-to-Fine Decoding for Neural Semantic Parsing ACL

Li Dong | Mirella Lapata |

Confidence Modeling for Neural Semantic Parsing ACL

Li Dong | Chris Quirk | Mirella Lapata |

Learning to Paraphrase for Question Answering EMNLP

Li Dong | Jonathan Mallinson | Siva Reddy | Mirella Lapata |

Learning to Generate Product Reviews from Attributes EACL

Long Short-Term Memory-Networks for Machine Reading EMNLP

Jianpeng Cheng | Li Dong | Mirella Lapata |

Solving and Generating Chinese Character Riddles EMNLP

Language to Logical Form with Neural Attention ACL

Li Dong | Mirella Lapata |

A Statistical Parsing Framework for Sentiment Classification CL

Question Answering over Freebase with Multi-Column Convolutional Neural Networks ACL IJCNLP

Li Dong | Furu Wei | Ming Zhou | Ke Xu |

Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets *SEMEVAL

A Joint Segmentation and Classification Framework for Sentiment Analysis EMNLP

Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification ACL