NLPExplorer

Lichang Chen

Number of Papers:- 7

Number of Citations:- 0

First ACL Paper:- 2023

Latest ACL Paper:- 2024

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EMNLP

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NAACL

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Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning F i n d i n g s - A C L

Ming Li | Lichang Chen | Jiuhai Chen | Shwai He | Jiuxiang Gu | Tianyi Zhou |

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL

Ming Li | Yong Zhang | Zhitao Li | Jiuhai Chen | Lichang Chen | Ning Cheng | Jianzong Wang | Tianyi Zhou | Jing Xiao |

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection F i n d i n g s - A C L

Ruibo Chen | Yihan Wu | Lichang Chen | Guodong Liu | Qi He | Tianyi Xiong | Chenxi Liu | Junfeng Guo | Heng Huang |

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL

Jun Yan | Vikas Yadav | Shiyang Li | Lichang Chen | Zheng Tang | Hai Wang | Vijay Srinivasan | Xiang Ren | Hongxia Jin |

Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements F i n d i n g s - A C L

Ming Li | Jiuhai Chen | Lichang Chen | Tianyi Zhou |

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP

Lichang Chen | Jiuhai Chen | Heng Huang | Minhao Cheng |

How Many Demonstrations Do You Need for In-context Learning? F i n d i n g s - E M N L P

Jiuhai Chen | Lichang Chen | Chen Zhu | Tianyi Zhou |

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