5 papers
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…
CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning
Qi Song, Honglin Li, Yingchen Yu +6
Recent releases such as o3 highlight human-like "thinking with images" reasoning that combines tool use with stepwise verification, yet most open-source approaches still rely on te…
Text-to-SQL as Dual-State Reasoning: Integrating Adaptive Context and Progressive Generation
Zhifeng Hao, Qibin Song, Ruichu Cai +1
Recent divide-and-conquer reasoning approaches, particularly those based on Chain-of-Thought (CoT), have substantially improved the Text-to-SQL capabilities of Large Language Model…
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…
KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
Qi Zhao, Hongyu Yang, Qi Song +2
Large language models (LLMs) have demonstrated remarkable capabilities in various complex tasks, yet they still suffer from hallucinations. By incorporating and exploring external…