NLPExplorer

Zheng Yuan

Number of Papers:- 41

Number of Citations:- 80

First ACL Paper:- 2013

Latest ACL Paper:- 2024

Venues:-

NAACL

BioNLP

CoNLL

BEA

EMNLP

Findings

SemEval

LREC

MWE

ACL

EACL

WMT

IJCNLP

Co-Authors:-

Similar Authors:-

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) BEA

Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation NAACL

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition ACL

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning ACL

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models NAACL

Speculative Contrastive Decoding ACL

Prompting open-source and commercial language models for grammatical error correction of English learner text F i n d i n g s - A C L

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM F i n d i n g s - A C L

Reducing Redundancy in Japanese-to-English Translation: A Multi-Pipeline Approach for Translating Repeated Elements in Japanese WMT

Qiao Wang | Yixuan Huang | Zheng Yuan |

LLM-based Code-Switched Text Generation for Grammatical Error Correction EMNLP

Tom Potter | Zheng Yuan |

An Extended Sequence Tagging Vocabulary for Grammatical Error Correction F i n d i n g s - E A C L

Stuart Mesham | Christopher Bryant | Marek Rei | Zheng Yuan |

The ADAIO System at the BEA-2023 Shared Task: Shared Task Generating AI Teacher Responses in Educational Dialogues BEA

Adaeze Adigwe | Zheng Yuan |

The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues BEA

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) BEA

How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics F i n d i n g s - A C L

Li Nguyen | Christopher Bryant | Oliver Mayeux | Zheng Yuan |

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation ACL

Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks EMNLP

Andrea Sottana | Bin Liang | Kai Zou | Zheng Yuan |

Grammatical Error Correction: A Survey of the State of the Art CL

Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations ACL BioNLP

Sihang Zeng | Zheng Yuan | Sheng Yu |

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition ACL Findings

Zheng Yuan | Chuanqi Tan | Songfang Huang | Fei Huang |

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark ACL

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model ACL BioNLP

Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding ACL

Zheng Yuan | Chuanqi Tan | Songfang Huang |

Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning NAACL

Hongyi Yuan | Zheng Yuan | Sheng Yu |

Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022) BEA NAACL

Improving Grammatical Error Correction for Multiword Expressions LREC MWE

Shiva Taslimipoor | Christopher Bryant | Zheng Yuan |

Document-level grammatical error correction BEA EACL

Zheng Yuan | Christopher Bryant |

Improving Biomedical Pretrained Language Models with Knowledge BioNLP NAACL

Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation ACL IJCNLP SemEval

Zheng Yuan | David Strohmaier |

Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems EMNLP

Zheng Yuan | Shiva Taslimipoor | Christopher Davis | Christopher Bryant |

Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction ACL IJCNLP SemEval

Zheng Yuan | Gladys Tyen | David Strohmaier |

Neural and FST-based approaches to grammatical error correction ACL WS

Construction of the Literature Graph in Semantic Scholar NAACL