1 citations · 2 across the 16 of their papers we have counts for
18 papers
EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL
Jiawei Zhou, Jianwei Wang, Chenyu Zhou +3
Text-to-SQL has advanced rapidly with large language models, but complex database queries still require reasoning beyond one-shot generation, including multi-step decomposition, ex…
Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection
Zhen Yang, Mengqi Wang, Gengda Zhao +3
Large language models (LLMs) are trained on massive and largely undisclosed corpora that may contain copyrighted or privacy-sensitive content. Data contamination detection (DCD) th…
Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes
Aoting Zeng, Kai Wang, Jianwei Wang +3
Community detection is a fundamental task in graph analytics that aims to identify cohesive groups of entities with similar behaviors or interests. Classic objective-driven methods…
Interpretable Column Annotation with LLM-Symbolized Decision Process Materialization
Mengqi Wang, Jianwei Wang, Qing Liu +5
Column annotation (CA), including column type annotation (CTA) and column property annotation (CPA), aims to identify the meanings of table columns and the semantic relationships a…
Collaborative Large and Small Language Models for Accurate and Scalable Data Repair
Qian Chen, Jianwei Wang, Wenjie Zhang
We study the problem of data repair, a key task in data cleaning that corrects erroneous entries in raw datasets to improve overall data quality. Although recent data-driven method…
Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking
Mo Zhou, Jianwei Wang, Kai Wang +3
Multimodal Entity Linking (MEL) is a fundamental task in data management that maps ambiguous mentions with diverse modalities to the multimodal entities in a knowledge base. Howeve…
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
Rongjie Jiang, Jianwei Wang, Gengda Zhao +3
Recent advances in large language models have driven the emergence of intelligent agents operating in open-world, multimodal environments. To support long-term reasoning, such agen…
HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery
Shiyuan Liu, Jianwei Wang, Xuemin Lin +3
As a pivotal task in data lake management, joinable table discovery has attracted widespread interest. While existing language model-based methods achieve remarkable performance by…
Ensembling LLM-Induced Decision Trees for Explainable and Robust Error Detection
Mengqi Wang, Jianwei Wang, Qing Liu +5
Error detection (ED), which aims to identify incorrect or inconsistent cell values in tabular data, is important for ensuring data quality. Recent state-of-the-art ED methods lever…
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
Guangxin Su, Hanchen Wang, Jianwei Wang +3
Large Language Models (LLMs) have achieved remarkable success in natural language processing through strong semantic understanding and generation. However, their black-box nature l…
TrustResearcher: Automating Knowledge-Grounded and Transparent Research Ideation with Multi-Agent Collaboration
Jiawei Zhou, Ruicheng Zhu, Mengshi Chen +2
Agentic systems have recently emerged as a promising tool to automate literature-based ideation. However, current systems often remain black-box, with limited transparency or contr…
Empowering Tabular Data Preparation with Language Models: Why and How?
Mengshi Chen, Yuxiang Sun, Tengchao Li +5
Data preparation is a critical step in enhancing the usability of tabular data and thus boosts downstream data-driven tasks. Traditional methods often face challenges in capturing…
LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements
Jianwei Wang, Mengqi Wang, Yinsi Zhou +5
Health, Safety, and Environment (HSE) compliance assessment demands dynamic real-time decision-making under complicated regulations and complex human-machine-environment interactio…
ProbDiffFlow: An Efficient Learning-Free Framework for Probabilistic Single-Image Optical Flow Estimation
Mo Zhou, Jianwei Wang, Xuanmeng Zhang +5
This paper studies optical flow estimation, a critical task in motion analysis with applications in autonomous navigation, action recognition, and film production. Traditional opti…
Ensemble-based Deep Multilayer Community Search
Jianwei Wang, Yuehai Wang, Kai Wang +3
Multilayer graphs, consisting of multiple interconnected layers, are widely used to model diverse relationships in the real world. A community is a cohesive subgraph that offers va…
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing
Jianwei Wang, Kai Wang, Ying Zhang +3
Missing data imputation, which aims to impute the missing values in the raw datasets to achieve the completeness of datasets, is crucial for modern data-driven models like large la…
Efficient Unsupervised Community Search with Pre-trained Graph Transformer
Jianwei Wang, Kai Wang, Xuemin Lin +2
Community search has aroused widespread interest in the past decades. Among existing solutions, the learning-based models exhibit outstanding performance in terms of accuracy by le…
Neural Attributed Community Search at Billion Scale
Jianwei Wang, Kai Wang, Xuemin Lin +2
Community search has been extensively studied in the past decades. In recent years, there is a growing interest in attributed community search that aims to identify a community bas…