3 citations · 3 across the 5 of their papers we have counts for
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cs.AI2026
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…
cs.AI2025
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…
cs.AI2025
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…