{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:14:48Z","timestamp":1758672888893,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>The task of Knowledge-Based Question Generation (KBQG) involves generating natural language questions from structured knowledge sources, posing unique challenges in balancing linguistic diversity and semantic relevance. Existing models often focus on maximizing surface-level similarity to ground-truth questions, neglecting the need for diverse syntactic forms and leading to semantic drift during generation. To overcome these challenges, we propose Refine-Reinforced Diverse Question Generation (R2DQG), a two-phase framework leveraging a generation-then-refinement paradigm. The Generator first constructs a diverse set of expressive templates using dependency parse tree similarity, capturing a wide range of syntactic patterns and styles. These templates guide the creation of question drafts, ensuring both diversity and semantic relevance. In the second phase, a Corrector module refines the drafts to mitigate semantic drift and enhance overall coherence and quality. Experiments on public datasets show that R2DQG outperforms state-of-the-art models in generating diverse, contextually accurate questions. Moreover, synthetic datasets generated by R2DQG enhance downstream QA performance, underscoring the practical utility of our approach.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/915","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"8231-8240","source":"Crossref","is-referenced-by-count":0,"title":["R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases"],"prefix":"10.24963","author":[{"given":"Yimeng","family":"Ren","sequence":"first","affiliation":[{"name":"Beijing University of Post and Telecommunications"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanhua","family":"Yu","sequence":"additional","affiliation":[{"name":"Beijing University of Post and Telecommunications"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizi","family":"Liao","sequence":"additional","affiliation":[{"name":"Singapore Management University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhu","family":"Shang","sequence":"additional","affiliation":[{"name":"Beijing University of Post and Telecommunications"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kangkang","family":"Lu","sequence":"additional","affiliation":[{"name":"Beijing University of Post and Telecommunications"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingliang","family":"Yan","sequence":"additional","affiliation":[{"name":"Beijing University of Post and Telecommunications"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:35:28Z","timestamp":1758627328000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/915"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/915","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}