{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:52:29Z","timestamp":1772934749502,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401864","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"5452-5461","source":"Crossref","is-referenced-by-count":0,"title":["Arabic Prompts with English Tools: A Benchmark"],"prefix":"10.1109","author":[{"given":"Konstantin","family":"Kubrak","sequence":"first","affiliation":[{"name":"General Organization for Social Insurance,GenAI & Data Analytics Department,Riyadh,Saudi Arabia"}]},{"given":"Ahmed","family":"El-Moselhy","sequence":"additional","affiliation":[{"name":"General Organization for Social Insurance,GenAI & Data Analytics Department,Riyadh,Saudi Arabia"}]},{"given":"Ammar","family":"Alsulami","sequence":"additional","affiliation":[{"name":"General Organization for Social Insurance,GenAI & Data Analytics Department,Riyadh,Saudi Arabia"}]},{"given":"Remaz","family":"Altuwaim","sequence":"additional","affiliation":[{"name":"General Organization for Social Insurance,GenAI & Data Analytics Department,Riyadh,Saudi Arabia"}]},{"given":"Hassan Ismail","family":"Fawaz","sequence":"additional","affiliation":[{"name":"General Organization for Social Insurance,GenAI & Data Analytics Department,Riyadh,Saudi Arabia"}]},{"given":"Faisal","family":"Alsaby","sequence":"additional","affiliation":[{"name":"General Organization for Social Insurance,GenAI & Data Analytics Department,Riyadh,Saudi Arabia"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/S1357321724000102"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10826089"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825891"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825082"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-024-40231-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-90026-6_9"},{"key":"ref8","article-title":"A survey of large language models for arabic language and its dialects","author":"Mashaabi","year":"2024","journal-title":"arXiv preprint"},{"key":"ref9","article-title":"Allam: Large language models for arabic and english","author":"Bari","year":"2024","journal-title":"arXiv preprint"},{"key":"ref10","article-title":"Jais and jais-chat: Arabiccentric foundation and instruction-tuned open generative large language models","author":"Sengupta","year":"2023","journal-title":"arXiv preprint"},{"key":"ref11","article-title":"Measuring massive multitask language understanding","author":"Hendrycks","year":"2020","journal-title":"arXiv preprint"},{"key":"ref12","article-title":"Holistic evaluation of language models","author":"Liang","year":"2022","journal-title":"arXiv preprint"},{"key":"ref13","article-title":"Arb: A comprehensive arabic multimodal reasoning benchmark","author":"Ghaboura","year":"2025","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"Toolllm: Facilitating large language models to master 16000+ real-world apis","author":"Qin","year":"2023","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825802"},{"key":"ref16","article-title":"The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models","volume-title":"Forty-second International Conference on Machine Learning","author":"Patil","year":"2025"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.664"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.187"},{"key":"ref20","article-title":"The landscape of arabic large language models (allms): A new era for arabic language technology","author":"Al-Khalifa","year":"2025","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825676"},{"key":"ref22","first-page":"173","article-title":"Alue: Arabic language understanding evaluation","volume-title":"Proceedings of the Sixth Arabic Natural Language Processing Workshop","author":"Seelawi","year":"2021"},{"key":"ref23","article-title":"Functionchatbench: Comprehensive evaluation of language models\u2019 generative capabilities in korean tool-use dialogs","author":"Lee","year":"2024","journal-title":"arXiv preprint"},{"key":"ref24","volume-title":"Function calling leaderboard for zhtw","author":"Lee","year":"2024"},{"key":"ref25","article-title":"Enhancing functioncalling capabilities in 11 ms: Strategies for prompt formats, data integration, and multilingual translation","author":"Chen","year":"2024","journal-title":"arXiv preprint"},{"key":"ref26","article-title":"Tool calling for arabic 11 ms: Data strategies and instruction tuning","author":"Ersoy","year":"2025","journal-title":"arXiv preprint"},{"key":"ref27","article-title":"Gorilla: Large language model connected with massive apis","author":"Patil","year":"2023","journal-title":"arXiv preprint"},{"key":"ref28","article-title":"gpt-oss-120b & gpt-oss-20b model card","author":"Agarwal","year":"2025","journal-title":"arXiv preprint"},{"key":"ref29","article-title":"The llama 3 herd of models","author":"Grattafiori","year":"2024","journal-title":"arXiv preprint"},{"key":"ref30","article-title":"Qwen3 technical report","author":"Yang","year":"2025","journal-title":"arXiv preprint"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_16"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401864.pdf?arnumber=11401864","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:16:13Z","timestamp":1772867773000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401864\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401864","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}