3 papers
cs.DB2026
Diachronic Hypergraphs for Orchestrated Multi-Agent Multimodal Memory Curation
Yichao Feng, Ran Zhang, Haoran Luo +3
Multi-agent systems solve tasks through collaboration, tool use, multimodal reasoning, and orchestration, but each agent operates within a knowledge boundary defined by its observa…
cs.CE2026
MMDynOpt-Agent: Dynamic Optimization for Multimodal Large Language Model Reasoning via Reinforcement Learning
Wenjin Liu, Haoran Luo, Fayuan Ke +5
Recently, multimodal large language models (MLLMs) have demonstrated strong potential in visual understanding and complex reasoning tasks. However, existing methods often struggle…
cs.IR2026
Edge-Aware Curvature Modeling for Graph Understanding in Large Language Models
Zhenghong Lin, Zhibin Shi, Hongyang Dong +3
Recently, graph-aware Large Language Models (LLMs) have shown promising capabilities in jointly modeling graph-structured data and textual information. Existing approaches typicall…