activity
20242026
most citedDocs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models

4 citations · 5 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2026

MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity

Yiran Zhang, Jinwen Liu, Daniel Su +7

Mineral exploration requires integrating heterogeneous geochemical, geophysical, and geological evidence, yet existing prospectivity systems often provide only opaque scores or hea…

cs.AI2026

Locating Failure in Multi-Page Visually Rich Document Understanding Systems: An Empirical Attribution

Lewei Xu, Yihao Ding, Zihan Xu +5

Multi-page visually rich document understanding (MP-VRDU) systems can fail when evidence is not faithfully represented, not selected, or not used correctly, yet final accuracy alon…

cs.DB2026

Disentangling Structure and Semantics: How Schema Representation Affects LLM-Based SQL Generation

Daniel Yitian Su, Sophie Yiran Su, Qiang Sun +2

LLM-based text-to-SQL pipelines read the database schema as text, which carries both structural cues (tables, keys, relationships) and semantic cues (table and column names); prior…

cs.LG2026

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth

Zihan Xu, Puzhen Wu, Lawrence Chun Man Lau +4

Document parsing is a foundational step for document understanding tasks such as visual question answering and key information extraction, as it transforms unstructured scanned ima…

cs.AI2026

Docs2Synth: A Synthetic Data Trained Retriever Framework for Scanned Visually Rich Documents Understanding

Yihao Ding, Qiang Sun, Puzhen Wu +3

Document understanding (VRDU) in regulated domains is particularly challenging, since scanned documents often contain sensitive, evolving, and domain specific knowledge. This leads…

cs.SE2025

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral

Qiang Sun, Sirui Li, Tingting Bi +4

Acquiring structured data from domain-specific, image-based documents such as scanned reports is crucial for many downstream tasks but remains challenging due to document variabili…

cs.IR2025

SymbioticRAG: Enhancing Document Intelligence Through Human-LLM Symbiotic Collaboration

Qiang Sun, Tingting Bi, Sirui Li +4

We present \textbf{SymbioticRAG}, a novel framework that fundamentally reimagines Retrieval-Augmented Generation~(RAG) systems by establishing a bidirectional learning relationship…

cs.LO2025

TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs

Qiang Sun, Sirui Li, Du Huynh +2

Question answering over temporal knowledge graphs (TKGs) is crucial for understanding evolving facts and relationships, yet its development is hindered by limited datasets and diff…

cs.HC2024★ 1 cited

OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents

Qiang Sun, Yuanyi Luo, Sirui Li +2

Multimodal conversational agents are highly desirable because they offer natural and human-like interaction. However, there is a lack of comprehensive end-to-end solutions to suppo…

cs.CL2024★ 4 cited

Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models

Qiang Sun, Yuanyi Luo, Wenxiao Zhang +5

Even for a conservative estimate, 80% of enterprise data reside in unstructured files, stored in data lakes that accommodate heterogeneous formats. Classical search engines can no…