作者位次 #4/7ICLR 2026Poster· Deep Learning / Everything Else
VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge Graphs
Wenxin Zhao · Jiachuan Wang · Yongqi Zhang · Shuangyin Li · Cheng Deng · Jun Wang · Lei Chen
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Wenxin Zhao · Jiachuan Wang · Yongqi Zhang · Shuangyin Li · Cheng Deng · Jun Wang · Lei Chen
Zhenqin Li · ShengYong Ding · Shuangyin Li
Question-Answer Generation (QAG) is essential for alleviating the cold-start problem in domain-specific large language model (LLM) post-training, where high-quality data is severely scarce.Effective training samples include rich semantic diversity and rigorous factual consistency.Thus, it is nece...
Fuda Ye · Jiachuan Wang · Yongqi Zhang · Lei Chen · Shuangyin Li
Retrieval-augmented generation (RAG) extends the capabilities of large language models (LLMs) by providing access to external knowledge. However, traditional retrieval-augmented LLMs rely on a silent reading paradigm that processes all retrieved documents passively, forcing them to reason without...