5 papers
AgentOmnia: Scaling Agentic Models for Full-Scenario Applications
Hao Jiang, Gangtao Xin, Yingdi Huang +35
Large language model agents have advanced rapidly, yet progress remains fragmented across domains, capabilities, task difficulty, and interaction settings. We frame this as full-sc…
Multi-turn Natural Language to Graph Query Language Translation
Yuanyuan Liang, Lei Pan, Tingyu Xie +2
In recent years, research on transforming natural language into graph query language (NL2GQL) has been increasing. Most existing methods focus on single-turn transformation from NL…
ProKG-Dial: Progressive Multi-Turn Dialogue Construction with Domain Knowledge Graphs
Yuanyuan Liang, Xiaoman Wang, Tingyu Xie +1
Current large language models (LLMs) excel at general NLP tasks but often lack domain specific precision in professional settings. Building a high quality domain specific multi tur…
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
Yuanyuan Liang, Tianhao Zhang, Tingyu Xie
Handling anomalies is a critical preprocessing step in multivariate time series prediction. However, existing approaches that separate anomaly preprocessing from model training for…
NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language
Yuanyuan Liang, Tingyu Xie, Gan Peng +3
The emergence of Large Language Models (LLMs) has revolutionized many fields, not only traditional natural language processing (NLP) tasks. Recently, research on applying LLMs to t…