NLPExplorer

Wen Xiao

Number of Papers:- 14

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

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EMNLP

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d

NAACL

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WS

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TrustNLP

ACL

IJCNLP

AACL

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CODI

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C

DeeLIO

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g

Co-Authors:-

Similar Authors:-

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

Yu Fu | Wen Xiao | Jia Chen | Jiachen Li | Evangelos Papalexakis | Aichi Chien | Yue Dong |

Personalized Abstractive Summarization by Tri-agent Generation Pipeline F i n d i n g s - E A C L

Wen Xiao | Yujia Xie | Giuseppe Carenini | Pengcheng He |

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

Yu Fu | Yufei Li | Wen Xiao | Cong Liu | Yue Dong |

Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues F i n d i n g s - E A C L

Chuyuan Li | Patrick Huber | Wen Xiao | Maxime Amblard | Chloe Braud | Giuseppe Carenini |

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization ACL

Wen Xiao | Iz Beltagy | Giuseppe Carenini | Arman Cohan |

Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation EMNLP

Raymond Li | Wen Xiao | Linzi Xing | Lanjun Wang | Gabriel Murray | Giuseppe Carenini |

Predicting Discourse Trees from Transformer-based Neural Summarizers NAACL

Wen Xiao | Patrick Huber | Giuseppe Carenini |

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification DeeLIO NAACL

Hyeju Jang | Seojin Bang | Wen Xiao | Giuseppe Carenini | Raymond Ng | Young ji Lee |

T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP EMNLP

Raymond Li | Wen Xiao | Lanjun Wang | Hyeju Jang | Giuseppe Carenini |

W-RST: Towards a Weighted RST-style Discourse Framework ACL IJCNLP

Patrick Huber | Wen Xiao | Giuseppe Carenini |

Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning ACL IJCNLP

Linzi Xing | Wen Xiao | Giuseppe Carenini |

Systematically Exploring Redundancy Reduction in Summarizing Long Documents AACL

Wen Xiao | Giuseppe Carenini |

Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! CODI EMNLP

Wen Xiao | Patrick Huber | Giuseppe Carenini |

Extractive Summarization of Long Documents by Combining Global and Local Context EMNLP

Wen Xiao | Giuseppe Carenini |

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