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.CV2026

MemeMind: Reference-Guided Trace Construction for Offline Context Optimization

Run Yang, Weihang Wang, Boheng Sheng +7

Offline context optimization improves an agent by revising its instructions and examples while keeping the model frozen. This approach learns from rollouts on an adaptation set, bu…

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.DB2026

STIndex: A Context-Aware Multi-Dimensional Spatiotemporal Information Extraction System

Wenxiao Zhang, Yu Liu, Qiang sun +5

Extracting structured knowledge from unstructured data still faces practical limitations: entity and event extraction pipelines remain brittle, knowledge graph construction require…

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…