{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T19:01:54Z","timestamp":1769799714102,"version":"3.49.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T00:00:00Z","timestamp":1764201600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T00:00:00Z","timestamp":1764201600000},"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":[[2025,11,27]]},"DOI":"10.1109\/acompa69200.2025.00013","type":"proceedings-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T21:19:49Z","timestamp":1769721589000},"page":"37-41","source":"Crossref","is-referenced-by-count":0,"title":["Fine-Tuning and Evaluating Distilled DeepSeek Models for Code Reasoning"],"prefix":"10.1109","author":[{"given":"Van-Viet","family":"Nguyen","sequence":"first","affiliation":[{"name":"Thai Nguyen University of Information and Communication Technology (ICTU),Thai Nguyen,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huu-Khanh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Thai Nguyen University,Distance Learning Center,Thai Nguyen,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kim-Son","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Thai Nguyen University of Information and Communication Technology (ICTU),Thai Nguyen,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hue Luong Thi","family":"Minh","sequence":"additional","affiliation":[{"name":"Thai Nguyen University of Information and Communication Technology (ICTU),Thai Nguyen,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duc-Quang","family":"Vu","sequence":"additional","affiliation":[{"name":"Thai Nguyen University of Information and Communication Technology (ICTU),Thai Nguyen,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"The-Vinh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Thai Nguyen University of Information and Communication Technology (ICTU),Thai Nguyen,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tan-Ha","family":"Mai","sequence":"additional","affiliation":[{"name":"National Taiwan University,Taipei,Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Evaluating large language models trained on code","author":"Chen","year":"2021","journal-title":"arXiv preprint arXiv:2107.03374"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.685"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.139"},{"key":"ref4","article-title":"Llama: Open and efficient foundation language models","author":"Touvron","year":"2023","journal-title":"arXiv preprint arXiv:2302.13971"},{"key":"ref5","article-title":"Qwen technical report","volume-title":"arXiv preprint arXiv:2309.16609","author":"Bai","year":"2023"},{"issue":"No","key":"ref6","first-page":"10","article-title":"Revolutionizing education: An extensive analysis of large language models integration","volume":"4","author":"Nguyen Van","year":"2024","journal-title":"International Research IRJSTEM of Science, Technology, Education, and Management"},{"issue":"3","key":"ref7","first-page":"136","article-title":"Phi-3 meets law: Fine-tuning mini language models for legal document understanding","volume":"2024","author":"Khanh","year":"2024","journal-title":"Research, Development and Application on Information and Communication Technology"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-8186-0_8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics15141808"},{"key":"ref10","article-title":"Climage: Human-annotated datasets for complementary-label learning","author":"Wang"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE48956.2021.9352107"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3672459"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.232"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3747588"},{"key":"ref15","article-title":"Large language models in software engineering: a systematic review and vision","author":"Nguyen","year":"2024"},{"key":"ref16","article-title":"Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter","author":"Sanh","year":"2019","journal-title":"arXiv preprint arXiv:1910.01108"},{"key":"ref17","article-title":"Codealpaca-deepseek-32b-reasoning-1","year":"2025","journal-title":"NguyenVanViet"},{"key":"ref18","article-title":"Code alpaca: An instructionfollowing llama model for code generation","author":"Chaudhary","year":"2023"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4140\/TCP.n.2015.249"},{"key":"ref20","article-title":"Deepseek-r1: Incentivizing reasoning capability in 11 ms via reinforcement learning","year":"2025","journal-title":"arXiv preprint arXiv:2107.03374"},{"issue":"2","key":"ref21","first-page":"3","article-title":"Lora: Low-rank adaptation of large language models","volume":"1","author":"Hu","year":"2022","journal-title":"ICLR"},{"key":"ref22","first-page":"10088","article-title":"Qlora: Efficient finetuning of quantized 11 ms","volume":"36","author":"Dettmers","year":"2023","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume":"35","author":"Ouyang","year":"2022","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2025 19th International Conference on Advanced Computing and Analytics (ACOMPA)","location":"Ho Chi Minh City, Vietnam","start":{"date-parts":[[2025,11,27]]},"end":{"date-parts":[[2025,11,29]]}},"container-title":["2025 19th International Conference on Advanced Computing and Analytics (ACOMPA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11360088\/11360116\/11360160.pdf?arnumber=11360160","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T06:57:45Z","timestamp":1769756265000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11360160\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,27]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/acompa69200.2025.00013","relation":{},"subject":[],"published":{"date-parts":[[2025,11,27]]}}}