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20212026
most citedComplex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning

8 citations · 20 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024

KnowCoder-X: Boosting Multilingual Information Extraction via Code

Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu +7

Empirical evidence indicates that LLMs exhibit spontaneous cross-lingual alignment. However, although LLMs show promising cross-lingual alignment in Information Extraction (IE), a…

cs.CL2024★ 1 cited

Temporal Knowledge Graph Question Answering: A Survey

Miao Su, Zixuan Li, Zhuo Chen +3

Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a…

cs.CL2024

Graphical Reasoning: LLM-based Semi-Open Relation Extraction

Yicheng Tao, Yiqun Wang, Longju Bai

This paper presents a comprehensive exploration of relation extraction utilizing advanced language models, specifically Chain of Thought (CoT) and Graphical Reasoning (GRE) techniq…

cs.CL2024

Class-Incremental Few-Shot Event Detection

Kailin Zhao, Xiaolong Jin, Long Bai +2

Event detection is one of the fundamental tasks in information extraction and knowledge graph. However, a realistic event detection system often needs to deal with new event classe…

cs.LG2024

Selective Temporal Knowledge Graph Reasoning

Zhongni Hou, Xiaolong Jin, Zixuan Li +3

Temporal Knowledge Graph (TKG), which characterizes temporally evolving facts in the form of (subject, relation, object, timestamp), has attracted much attention recently. TKG reas…

cs.LG2024★ 5 cited

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction

Zixuan Li, Yutao Zeng, Yuxin Zuo +14

In this paper, we propose KnowCoder, a Large Language Model (LLM) to conduct Universal Information Extraction (UIE) via code generation. KnowCoder aims to develop a kind of unified…