most citedTwo-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DB2026

A Tool for Semantic-Aware Spatial Corpus Construction

Wei Huang, Xieyang Wang, Jianqiu Xu +1

Spatial natural language interface to database systems provide non-expert users with convenient access to spatial data through natural language queries. However, the scarcity of hi…

cs.CL2025

SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention

Bohan Yu, Wei Huang, Kang Liu

This paper proposes SR-KI, a novel approach for integrating real-time and large-scale structured knowledge bases (KBs) into large language models (LLMs). SR-KI begins by encoding K…

cs.IR2025

The 3rd Place Solution of CCIR CUP 2025: A Framework for Retrieval-Augmented Generation in Multi-Turn Legal Conversation

Da Li, Zecheng Fang, Qiang Yan +2

Retrieval-Augmented Generation has made significant progress in the field of natural language processing. By combining the advantages of information retrieval and large language mo…

cs.CV2025

IL3D: A Large-Scale Indoor Layout Dataset for LLM-Driven 3D Scene Generation

Wenxu Zhou, Kaixuan Nie, Hang Du +5

In this study, we present IL3D, a large-scale dataset meticulously designed for large language model (LLM)-driven 3D scene generation, addressing the pressing demand for diverse, h…

cs.CL20251 cited

Two-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media

Yukai Song, Pengfei Zhou, César Escobar-Viera +3

Suicide rates have risen worldwide in recent years, underscoring the urgent need for proactive prevention strategies. Social media provides valuable signals, as many at-risk indivi…

cs.CV2025

A Hybrid Co-Finetuning Approach for Visual Bug Detection in Video Games

Faliu Yi, Sherif Abdelfattah, Wei Huang +1

Manual identification of visual bugs in video games is a resource-intensive and costly process, often demanding specialized domain knowledge. While supervised visual bug detection…