Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization F i n d i n g s - E A C L

Haojie Zhuang | Wei Emma Zhang | Chang Dong | Jian Yang | Quan Sheng |

Towards Real-world Scenario: Imbalanced New Intent Discovery ACL

Shun Zhang | Yan Chaoran | Jian Yang | Jiaheng Liu | Ying Mo | Jiaqi Bai | Tongliang Li | Zhoujun Li |

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models F i n d i n g s - A C L

Noah Wang | Z.y. Peng | Haoran Que | Jiaheng Liu | Wangchunshu Zhou | Yuhan Wu | Hongcheng Guo | Ruitong Gan | Zehao Ni | Jian Yang | Man Zhang | Zhaoxiang Zhang | Wanli Ouyang | Ke Xu | Wenhao Huang | Jie Fu | Junran Peng |

Synthesizing Text-to-SQL Data from Weak and Strong LLMs ACL

Jiaxi Yang | Binyuan Hui | Min Yang | Jian Yang | Junyang Lin | Chang Zhou |

Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output NAACL

Haojie Zhuang | Wei Emma Zhang | Leon Xie | Weitong Chen | Jian Yang | Quan Sheng |

UniCoder: Scaling Code Large Language Model via Universal Code ACL

Tao Sun | Linzheng Chai | Jian Yang | Yuwei Yin | Hongcheng Guo | Jiaheng Liu | Bing Wang | Liqun Yang | Zhoujun Li |

C-ICL: Contrastive In-context Learning for Information Extraction F i n d i n g s - E M N L P

Ying Mo | Jiahao Liu | Jian Yang | Qifan Wang | Shun Zhang | Jingang Wang | Zhoujun Li |

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP

Zhe Yang | Yichang Zhang | Tianyu Liu | Jian Yang | Junyang Lin | Chang Zhou | Zhifang Sui |

On Fake News Detection with LLM Enhanced Semantics Mining EMNLP

Xiaoxiao Ma | Yuchen Zhang | Kaize Ding | Jian Yang | Jia Wu | Hao Fan |

mABC: Multi-Agent Blockchain-inspired Collaboration for Root Cause Analysis in Micro-Services Architecture F i n d i n g s - E M N L P

Wei Zhang | Hongcheng Guo | Jian Yang | Zhoujin Tian | Yi Zhang | Yan Chaoran | Zhoujun Li | Tongliang Li | Xu Shi | Liangfan Zheng | Bo Zhang |