3 papers
cs.CL2026
Graph-Augmented Reasoning with Large Language Models for Tobacco Pest and Disease Management
Siyu Li, Chenwei Song, Qi Zhou +2
This paper proposes a graph-augmented reasoning framework for tobacco pest and disease management that integrates structured domain knowledge into large language models. Building o…
cs.IR2026
SpatCode: Rotary-based Unified Encoding Framework for Efficient Spatiotemporal Vector Retrieval
Bingde Hu, Enhao Pan, Wanjing Zhou +3
Spatiotemporal vector retrieval has emerged as a critical paradigm in modern information retrieval, enabling efficient access to massive, heterogeneous data that evolve over both t…
cs.CL2025
Knowledge Reasoning of Large Language Models Integrating Graph-Structured Information for Pest and Disease Control in Tobacco
Siyu Li, Chenwei Song, Wan Zhou +1
This paper proposes a large language model (LLM) approach that integrates graph-structured information for knowledge reasoning in tobacco pest and disease control. Built upon the G…