3 papers
cs.LG2026
GVR-Coder: A Visual-Feedback Framework for Structured SVG Generation in Complex Document and Meeting Scenarios
Yiming Xu, Jihua Kang, Chunsai Du +5
In demanding professional environments and meeting review scenarios, lengthy text often imposes a high cognitive load. To facilitate efficient information communication, transformi…
cs.CL2026
SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering
Junli Liang, Pengfei Zhou, Wangqiu Zhou +5
Traditional Retrieval-Augmented Generation (RAG) effectively supports single-hop question answering with large language models but faces significant limitations in multi-hop questi…
cs.CL2025
RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs
Can Lin, Zhengwang Jiang, Ling Zheng +4
Knowledge graph question answering (KGQA) aims to answer natural language questions using knowledge graphs. Recent research leverages large language models (LLMs) to enhance KGQA r…