output
20162026
most citedChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

70 citations

21 papers

cs.LG2026

DAS-PMVC: A Framework for Partial Multi-View Clustering via Dual Alignment and Structure Enhancement

Shubin Ma, Liang Zhao, Chuanye He +4

In recent years, multi-view clustering has attracted widespread research interest. However, due to limitations in data collection devices, data across different views often suffer…

q-bio.QM2025★ 1 cited

DCAF-Net: Dual-Channel Attentive Fusion Network for Lower Limb Motion Intention Prediction in Stroke Rehabilitation Exoskeletons

Liangshou Zhang, Yanbin Liu, Hanchi Liu +4

Rehabilitation exoskeletons have shown promising results in promoting recovery for stroke patients. Accurately and timely identifying the motion intentions of patients is a critica…

cs.CV2025★ 5 cited

Micro-Expression Recognition via Fine-Grained Dynamic Perception

Zhiwen Shao, Yifan Cheng, Fan Zhang +4

Facial micro-expression recognition (MER) is a challenging task, due to the transience, subtlety, and dynamics of micro-expressions (MEs). Most existing methods resort to hand-craf…

cs.RO2025★ 2 cited

OpenMap: Instruction Grounding via Open-Vocabulary Visual-Language Mapping

Danyang Li, Zenghui Yang, Guangpeng Qi +4

Grounding natural language instructions to visual observations is fundamental for embodied agents operating in open-world environments. Recent advances in visual-language mapping h…

cs.DB2024

TCSR-SQL: Towards Table Content-aware Text-to-SQL with Self-retrieval

Wenbo Xu, Liang Yan, Chuanyi Liu +5

Large Language Model-based (LLM-based) Text-to-SQL methods have achieved important progress in generating SQL queries for real-world applications. When confronted with table conten…

cs.CV2024★ 1 cited

Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation

Guanlong Jiao, Chenyangguang Zhang, Haonan Yin +5

Domain generalized semantic segmentation is an essential computer vision task, for which models only leverage source data to learn the capability of generalized semantic segmentati…