most citedS-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering

2 citations · 5 across the 26 of their papers we have counts for

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cs.CL2026

MultiPress: A Multi-Agent Framework for Interpretable Multimodal News Classification

Tailong Luo, Hao Li, Rong Fu +7

With the growing prevalence of multimodal news content, effective news topic classification demands models capable of jointly understanding and reasoning over heterogeneous data su…

cs.CL2026★ 2 cited

S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering

Rong Fu, Yemin Wang, Tianxiang Xu +5

We present S-Path-RAG, a semantic-aware shortest-path Retrieval-Augmented Generation framework designed to improve multi-hop question answering over large knowledge graphs. S-Path-…

cs.CL2026

Multimodal Multi-Agent Empowered Legal Judgment Prediction

Zhaolu Kang, Junhao Gong, Qingxi Chen +7

Legal Judgment Prediction (LJP) aims to predict the outcomes of legal cases based on factual descriptions, serving as a fundamental task to advance the development of legal systems…

cs.CL2026★ 1 cited

Missing-by-Design: Certifiable Modality Deletion for Revocable Multimodal Sentiment Analysis

Rong Fu, Ziming Wang, Chunlei Meng +4

As multimodal systems increasingly process sensitive personal data, the ability to selectively revoke specific data modalities has become a critical requirement for privacy complia…

cs.CL2026

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering

Rong Fu, Yang Li, Zeyu Zhang +7

Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive queries that require prec…