NLPExplorer

Yue Yu

Number of Papers:- 30

Number of Citations:- 0

First ACL Paper:- 2012

Latest ACL Paper:- 2024

Venues:-

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EMNLP

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NAACL

BioNLP

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WS

Findings

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ACL

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LREC

EACL

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Co-Authors:-

Alexander M Rush

Arnold Overwijk

Similar Authors:-

Xavier Briffault

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification EACL

Vidit Jain | Mukund Rungta | Yuchen Zhuang | Yue Yu | Zeyu Wang | Mu Gao | Jeffrey Skolnick | Chao Zhang |

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL

Ran Xu | Wenqi Shi | Yue Yu | Yuchen Zhuang | Bowen Jin | May Dongmei Wang | Joyce Ho | Carl Yang |

Multi-modal Stance Detection: New Datasets and Model F i n d i n g s - A C L

Bin Liang | Ang Li | Jingqian Zhao | Lin Gui | Min Yang | Yue Yu | Kam-Fai Wong | Ruifeng Xu |

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL

Yue Yu | Jiaming Shen | Tianqi Liu | Zhen Qin | Jing Nathan Yan | Jialu Liu | Chao Zhang | Michael Bendersky |

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC F i n d i n g s - A C L

Jinglong Luo | Yehong Zhang | Zhuo Zhang | Jiaqi Zhang | Xin Mu | Hui Wang | Yue Yu | Zenglin Xu |

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models F i n d i n g s - A C L

Yuzhao Heng | Chunyuan Deng | Yitong Li | Yue Yu | Yinghao Li | Rongzhi Zhang | Chao Zhang |

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models F i n d i n g s - A C L

Ran Xu | Hejie Cui | Yue Yu | Xuan Kan | Wenqi Shi | Yuchen Zhuang | May Dongmei Wang | Wei Jin | Joyce Ho | Carl Yang |

ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling ACL

LingXi Zhang | Yue Yu | Kuan Wang | Chao Zhang |

Predicting Text Preference Via Structured Comparative Reasoning ACL

Jing Nathan Yan | Tianqi Liu | Justin Chiu | Jiaming Shen | Zhen Qin | Yue Yu | Charumathi Lakshmanan | Yair Kurzion | Alexander Rush | Jialu Liu | Michael Bendersky |

URG: A Unified Ranking and Generation Method for Ensembling Language Models F i n d i n g s - A C L

Bo Lv | Chen Tang | Yanan Zhang | Xin Liu | Ping Luo | Yue Yu |

Rethinking the Evaluation of In-Context Learning for LLMs EMNLP

Guoxin Yu | Lemao Liu | Mo Yu | Yue Yu | Xiang Ao |

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP

Wenqi Shi | Ran Xu | Yuchen Zhuang | Yue Yu | Haotian Sun | Hang Wu | Carl Yang | May Dongmei Wang |

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP

Ran Xu | Wenqi Shi | Yue Yu | Yuchen Zhuang | Yanqiao Zhu | May Dongmei Wang | Joyce C. Ho | Chao Zhang | Carl Yang |

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP

Wenqi Shi | Ran Xu | Yuchen Zhuang | Yue Yu | Jieyu Zhang | Hang Wu | Yuanda Zhu | Joyce C. Ho | Carl Yang | May Dongmei Wang |

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL

Yue Yu | Rongzhi Zhang | Ran Xu | Jieyu Zhang | Jiaming Shen | Chao Zhang |

DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction F i n d i n g s - A C L

Bo Lv | Xin Liu | Shaojie Dai | Nayu Liu | Fan Yang | Ping Luo | Yue Yu |

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval F i n d i n g s - A C L

Yue Yu | Yuchen Zhuang | Rongzhi Zhang | Yu Meng | Jiaming Shen | Chao Zhang |

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models F i n d i n g s - A C L

Zhuo Zhang | Yuanhang Yang | Yong Dai | Qifan Wang | Yue Yu | Lizhen Qu | Zenglin Xu |

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL

Rongzhi Zhang | Yue Yu | Pranav Shetty | Le Song | Chao Zhang |

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models NAACL

Yue Yu | Lingkai Kong | Jieyu Zhang | Rongzhi Zhang | Chao Zhang |

Self-Training with Differentiable Teacher Findings NAACL

Simiao Zuo | Yue Yu | Chen Liang | Haoming Jiang | Siawpeng Er | Chao Zhang | Tuo Zhao | Hongyuan Zha |

COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning EMNLP

Yue Yu | Chenyan Xiong | Si Sun | Chao Zhang | Arnold Overwijk |

Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives EMNLP

Si Sun | Chenyan Xiong | Yue Yu | Arnold Overwijk | Zhiyuan Liu | Jie Bao |

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select EMNLP

Yuchen Zhuang | Yinghao Li | Junyang Zhang | Yue Yu | Yingjun Mou | Xiang Chen | Le Song | Chao Zhang |

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL

Yue Yu | Simiao Zuo | Haoming Jiang | Wendi Ren | Tuo Zhao | Chao Zhang |

MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning EMNLP Findings

Lu Zhang | Mo Yu | Tian Gao | Yue Yu |

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP

Rongzhi Zhang | Yue Yu | Chao Zhang |

GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL WS

Yue Yu | Yilun Zhu | Yang Liu | Yan Liu | Siyao Peng | Mackenzie Gong | Amir Zeldes |

Representing Clinical Diagnostic Criteria in Quality Data Model Using Natural Language Processing BioNLP WS

Na Hong | Dingcheng Li | Yue Yu | Hongfang Liu | Christopher G. Chute | Guoqian Jiang |

A Mandarin-English Code-Switching Corpus LREC

Ying Li | Yue Yu | Pascale Fung |

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