{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T21:34:43Z","timestamp":1773264883915,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"U.S. National Science Foundation","doi-asserted-by":"publisher","award":["2317117"],"award-info":[{"award-number":["2317117"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,12]]},"DOI":"10.1109\/icdmw69685.2025.00276","type":"proceedings-article","created":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T19:50:39Z","timestamp":1773172239000},"page":"2277-2284","source":"Crossref","is-referenced-by-count":0,"title":["Synergizing Dynamic Symbolic Rules and Few-Shot Learning for Discrete Reasoning in Hybrid QA"],"prefix":"10.1109","author":[{"given":"Safayat","family":"Bin Hakim","sequence":"first","affiliation":[{"name":"University of Maryland, Baltimore County,Department of Information Systems,Baltimore,MD,USA,21250"}]},{"given":"Houbing Herbert","family":"Song","sequence":"additional","affiliation":[{"name":"University of Maryland, Baltimore County,Department of Information Systems,Baltimore,MD,USA,21250"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2368","article-title":"DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)","author":"Dua","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671470"},{"key":"ref3","article-title":"Retrieval-Augmented Generation for AIGenerated Content: A Survey","author":"Zhao","year":"2024","journal-title":"arXiv preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3677052.3698671"},{"key":"ref5","article-title":"A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning","author":"Yuan","year":"2024","journal-title":"arXiv preprint"},{"key":"ref6","article-title":"RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering","author":"Chen","year":"2024","journal-title":"arXiv preprint"},{"key":"ref7","article-title":"RuAG: Learned-rule-augmented Generation for Large Language Models","author":"Zhang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/electronics14010047"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISCEIC63613.2024.10810209"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645481"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.896"},{"key":"ref12","article-title":"Learning symbolic rules for reasoning in quasinatural language","author":"Yang","year":"2021","journal-title":"arXiv preprint"},{"key":"ref13","article-title":"Improving rule-based reasoning in 11 ms via neurosymbolic representations","author":"Dhanraj","year":"2025","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29823"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-1024-2_8"},{"key":"ref16","volume-title":"Llama 3.2 3b","author":"Llama","year":"2024"},{"key":"ref17","article-title":"Mistral-7b-instruct-v0.3","volume-title":"MistralAI","year":"2024"},{"key":"ref18","article-title":"Gemma 1.1 7b it","volume-title":"Google DeepMind","year":"2024"},{"key":"ref19","article-title":"SymRAG: Efficient neuro-symbolic retrieval through adaptive query routing","volume-title":"Proceedings of the 19th International Conference on Neurosymbolic Learning and Reasoning","author":"Hakim","year":"2025"},{"key":"ref20","article-title":"Integrating neural and symbolic components in a model of pragmatic question-answering","author":"Tsvilodub","year":"2025","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1259"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00475"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HSI61632.2024.10613566"},{"key":"ref24","article-title":"GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning","author":"Mavromatis","year":"2024","journal-title":"arXiv preprint"},{"key":"ref25","article-title":"Cdf-rag: Causal dynamic feedback for adaptive retrieval-augmented generation","author":"Khatibi","year":"2025","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","location":"Washington, DC, USA","start":{"date-parts":[[2025,11,12]]},"end":{"date-parts":[[2025,11,15]]}},"container-title":["2025 IEEE International Conference on Data Mining Workshops (ICDMW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11415623\/11415713\/11415773.pdf?arnumber=11415773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T05:32:06Z","timestamp":1773207126000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11415773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,12]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icdmw69685.2025.00276","relation":{},"subject":[],"published":{"date-parts":[[2025,11,12]]}}}