NLPExplorer

Yue Dong

Number of Papers:- 27

Number of Citations:- 0

First ACL Paper:- 2018

Latest ACL Paper:- 2024

Venues:-

NAACL

TrustNLP

EMNLP

Findings

TACL

newsum

ACL

EACL

IJCNLP

Co-Authors:-

Similar Authors:-

Cross-Task Defense: Instruction-Tuning LLMs for Content Safety TrustNLP WS

Source-Free Domain Adaptation for Question Answering with Masked Self-training TACL

Maxwell J. Yin | Boyu Wang | Yue Dong | Charles Ling |

Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks F i n d i n g s - A C L

Haz Shahgir | Xianghao Kong | Greg Ver Steeg | Yue Dong |

Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack ACL

PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering F i n d i n g s - A C L

Jannat Meem | Muhammad Rashid | Yue Dong | Vagelis Hristidis |

EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models F i n d i n g s - A C L

Muhammad Rashid | Jannat Meem | Yue Dong | Vagelis Hristidis |

Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation F i n d i n g s - A C L

Vulnerabilities of Large Language Models to Adversarial Attacks ACL

Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations F i n d i n g s - E M N L P

Lei Yu | Meng Cao | Jackie CK Cheung | Yue Dong |

Can Textual Unlearning Solve Cross-Modality Safety Alignment? F i n d i n g s - E M N L P

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation F i n d i n g s - E M N L P

G M Shahariar | Jia Chen | Jiachen Li | Yue Dong |

Inverse Reinforcement Learning for Text Summarization F i n d i n g s - E M N L P

Yu Fu | Deyi Xiong | Yue Dong |

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization ACL

Meng Cao | Yue Dong | Jackie Cheung |

Text Generation with Text-Editing Models NAACL

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization F i n d i n g s - E M N L P

Yue Dong | John Wieting | Pat Verga |

Learning with Rejection for Abstractive Text Summarization EMNLP

Meng Cao | Yue Dong | Jingyi He | Jackie Chi Kit Cheung |

Discourse-Aware Unsupervised Summarization for Long Scientific Documents EACL

Yue Dong | Andrei Mircea Romascanu | Jackie Chi Kit Cheung |

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents ACL IJCNLP

Proceedings of the Third Workshop on New Frontiers in Summarization EMNLP newsum

On-the-Fly Attention Modulation for Neural Generation Findings

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles EMNLP

Yao Lu | Yue Dong | Laurent Charlin |

Factual Error Correction for Abstractive Summarization Models EMNLP

Meng Cao | Yue Dong | Jiapeng Wu | Jackie Chi Kit Cheung |

Multi-Fact Correction in Abstractive Text Summarization EMNLP

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP

Matt Grenander | Yue Dong | Jackie Chi Kit Cheung | Annie Louis |

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing ACL

Yue Dong | Zichao Li | Mehdi Rezagholizadeh | Jackie Chi Kit Cheung |

A Hierarchical Neural Attention-based Text Classifier EMNLP

Koustuv Sinha | Yue Dong | Jackie Chi Kit Cheung | Derek Ruths |

BanditSum: Extractive Summarization as a Contextual Bandit EMNLP