29 citations · 69 across the 8 of their papers we have counts for
8 papers
CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
Yongxuan Wu, Xixun Lin, He Zhang +5
LLM-based Multi-Agent Systems (MAS) have demonstrated remarkable capabilities in solving complex tasks. Central to MAS is the communication topology which governs how agents exchan…
EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning
Hengyu Zhang, Xuyun Zhang, Pengxiang Zhan +5
Recent advances in large language models (LLMs) have enabled promising progress in diagnosis prediction from electronic health records (EHRs). However, existing LLM-based approache…
Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs
Xingrui Zhuo, Jiapu Wang, Gongqing Wu +2
Knowledge Graph Query Embedding (KGQE) aims to embed First-Order Logic (FOL) queries in a low-dimensional KG space for complex reasoning over incomplete KGs. To enhance the general…
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
Farid Saberi-Movahed, Kamal Berahman, Razieh Sheikhpour +2
Dimensionality Reduction plays a pivotal role in improving feature learning accuracy and reducing training time by eliminating redundant features, noise, and irrelevant data. Nonne…
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
Jiapu Wang, Kai Sun, Linhao Luo +5
Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal information to capture complex relations within a Temporal Knowledge Graph (TKG) to infer new knowled…
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb +4
In time series anomaly detection (TSAD), the scarcity of labeled data poses a challenge to the development of accurate models. Unsupervised domain adaptation (UDA) offers a solutio…
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion
Jiapu Wang, Zheng Cui, Boyue Wang +4
Temporal Knowledge Graphs (TKGs) incorporate a temporal dimension, allowing for a precise capture of the evolution of knowledge and reflecting the dynamic nature of the real world.…
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
Zhangchi Qiu, Ye Tao, Shirui Pan +1
Conversational recommender systems (CRS) utilize natural language interactions and dialogue history to infer user preferences and provide accurate recommendations. Due to the limit…