238 citations · 272 across the 7 of their papers we have counts for
8 papers
Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
Jing Bi, Yuting Wu, Weiwei Xing +1
Large language models (LLMs) have demonstrated remarkable performance across a wide range of tasks. Advances in prompt engineering and fine-tuning techniques have further enhanced…
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning
Wei Chen, Huaiyu Wan, Yuting Wu +4
Temporal knowledge graphs (TKGs) have been identified as a promising approach to represent the dynamics of facts along the timeline. The extrapolation of TKG is to predict unknowab…
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Shuhan Wu, Huaiyu Wan, Wei Chen +3
Graph neural networks (GNNs) have shown promising performance for knowledge graph reasoning. A recent variant of GNN called progressive relational graph neural network (PRGNN), uti…
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
Shuang Zeng, Yuting Wu, Baobao Chang
Document-level relation extraction has attracted much attention in recent years. It is usually formulated as a classification problem that predicts relations for all entity pairs i…
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Xiao Liu, Da Yin, Yansong Feng +2
Causal inference is the process of capturing cause-effect relationship among variables. Most existing works focus on dealing with structured data, while mining causal relationship…
Neighborhood Matching Network for Entity Alignment
Yuting Wu, Xiao Liu, Yansong Feng +2
Structural heterogeneity between knowledge graphs is an outstanding challenge for entity alignment. This paper presents Neighborhood Matching Network (NMN), a novel entity alignmen…