Information-Needs-Guided Virtual Knowledge Graph Enrichment via Large Language Models
Lin Ren, Guohui Xiao, Guilin Qi et al.
· 0 citations
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NaVQA: Mitigating Silent Failures in Question Answering over Virtual Knowledge Graph
This paper studies the VKG-QA task, which enables users to interact with the VKGs through a natural language (NL) interface by translating their questions into SPARQL queries, and pro-poses NaVQA (Navigation-based VKG Question Answering), a framework leveraging Large Language Models.
Guohui Xiao, Haohan Xue, Lin Ren et al.
· 0 citations
Jul 2026
EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization
EvoThink is proposed, a framework that reduces redundant verification and encourages the exploration of new reasoning paths that not only substantially reduces inference-time token usage but also improves the reasoning capability of LRMs.
Xinbang Dai, Zheyu Xin, Hui-Kang Hu et al.
· arXiv.org · 0 citations