Lilong Xue — accepted AI-conference papers

2024

AutoRE: Document-Level Relation Extraction with Large Language Models

Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang

ACL 2024system demonstrations

Large Language Models (LLMs) have demonstrated exceptional abilities in comprehending and generating text, motivating numerous researchers to utilize them for Information Extraction (IE) purposes, including Relation Extraction (RE). Nonetheless, most existing methods are predominantly designed for S…

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2023

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Weng Lam Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, tao li +2

EMNLP 2023long findings

Prompt tuning attempts to update few task-specific parameters in pre-trained models. It has achieved comparable performance to fine-tuning of the full parameter set on both language understanding and generation tasks. In this work, we study the problem of prompt tuning for neural text retrievers. We…

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