5 papers
SpecDB: LLM-Generated Customized Databases via Feature-Oriented Decomposition
Yunkai Lou, Longbin Lai, Shunyang Li +2
Mainstream relational databases ship a uniform feature set across deployments, although individual workloads exercise only a fraction of the available subsystems. We investigate wh…
A Hypergraph-Based Framework for Exploratory Business Intelligence
Yunkai Lou, Shunyang Li, Longbin Lai +3
Business Intelligence (BI) analysis is evolving towards Exploratory BI, an iterative, multi-round exploration paradigm where analysts progressively refine their understanding. Howe…
OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence
Peigen Liu, Rui Ding, Yuren Mao +7
Large Language Model (LLM)-based Collective Intelligence (CI) presents a promising approach to overcoming the data wall and continuously boosting the capabilities of LLM agents. Ho…
Large-Small Model Collaboration for Enhancing Edge-Deployed Small Models
Peigen Liu, Yijiang Fan, Zixuan Xu +3
Edge devices host domain-specific small language models (SLMs) with limited resources, while private clouds offer larger LLMs. We propose G-Boost, an adaptive edge-cloud framework…
Towards a Converged Relational-Graph Optimization Framework
Yunkai Lou, Longbin Lai, Bingqing Lyu +5
The recent ISO SQL:2023 standard adopts SQL/PGQ (Property Graph Queries), facilitating graph-like querying within relational databases. This advancement, however, underscores a sig…