{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:13:43Z","timestamp":1763190823425,"version":"3.45.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228272","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance"],"prefix":"10.1109","author":[{"given":"Xin","family":"Ju","sequence":"first","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,Suzhou,China"}]},{"given":"Ye","family":"Zhang","sequence":"additional","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,Suzhou,China"}]},{"given":"Xiabing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,Suzhou,China"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,Suzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1192"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-2002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1041"},{"volume":"abs\/2303.08774","article-title":"GPT-4 technical report","year":"2023","key":"ref4"},{"article-title":"Agentcoder: Multi-agent-based code generation with iterative testing and optimisation","year":"2023","author":"Huang","key":"ref5"},{"key":"ref6","article-title":"Code generation with alphacodium: From prompt engineering to flow engineering","volume":"abs\/2401.08500","author":"Ridnik","year":"2024","journal-title":"CoRR"},{"key":"ref7","article-title":"Leveraging print debugging to improve code generation in large language models","volume":"abs\/2401.05319","author":"Hu","year":"2024","journal-title":"CoRR"},{"article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume-title":"Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems","author":"Wei","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3690635"},{"key":"ref10","article-title":"Bridging code semantic and llms: Semantic chain-of-thought prompting for code generation","volume":"abs\/2310.10698","author":"Ma","year":"2023","journal-title":"CoRR"},{"key":"ref11","article-title":"Codecot and beyond: Learning to program and test like a developer","volume":"abs\/2308.08784","author":"Huang","year":"2023","journal-title":"CoRR"},{"article-title":"Code alpaca: An instruction-following llama model for code generation","year":"2023","author":"Chaudhary","key":"ref12"},{"article-title":"Wizardcoder: Empowering code large language models with evol-instruct","volume-title":"The Twelfth International Conference on Learning Representations","author":"Luo","key":"ref13"},{"key":"ref14","article-title":"Distilling the knowledge in a neural network","volume":"abs\/1503.02531","author":"Hinton","year":"2015","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00454"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.155"},{"key":"ref17","article-title":"Mutual learning for finetuning click-through rate prediction models","volume":"abs\/2406.12087","author":"Yilmaz","year":"2024","journal-title":"CoRR"},{"key":"ref18","article-title":"Evaluating large language models trained on code","volume":"abs\/2107.03374","author":"Chen","year":"2021","journal-title":"CoRR"},{"key":"ref19","article-title":"Program synthesis with large language models","volume":"abs\/2108.07732","author":"Austin","year":"2021","journal-title":"CoRR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1126\/science.abq1158"},{"article-title":"Incoder: A generative model for code infilling and synthesis","volume-title":"The Eleventh International Conference on Learning Representations","author":"Fried","key":"ref21"},{"article-title":"Codegen: An open large language model for code with multi-turn program synthesis","volume-title":"The Eleventh International Conference on Learning Representations","author":"Nijkamp","key":"ref22"},{"key":"ref23","article-title":"Code llama: Open foundation models for code","volume":"abs\/2308.12950","author":"Rozi\u00e8re","year":"2023","journal-title":"CoRR"},{"key":"ref24","article-title":"Starcoder: may the source be with you!","volume":"2023","author":"Li","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref25","article-title":"Large language models are state-of-the-art evaluators of code generation","volume":"abs\/2304.14317","author":"Zhuo","year":"2023","journal-title":"CoRR"},{"key":"ref26","article-title":"Personalised distillation: Empowering open-sourced llms with adaptive learning for code generation","volume":"abs\/2310.18628","author":"Chen","year":"2023","journal-title":"CoRR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72378-0_46"},{"article-title":"Direct preference optimization: Your language model is secretly a reward model","volume-title":"Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023","author":"Rafailov","key":"ref28"},{"key":"ref29","article-title":"Deepseek-coder: When the large language model meets programming - the rise of code intelligence","volume":"abs\/2401.14196","author":"Guo","year":"2024","journal-title":"CoRR"},{"article-title":"Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation","volume-title":"Annual Conference on Neural Information Processing Systems 2023","author":"Liu","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.68"},{"key":"ref32","article-title":"Chain-of-thought in neural code generation: From and for lightweight language models","volume":"abs\/2312.05562","author":"Yang","year":"2023","journal-title":"CoRR"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228272.pdf?arnumber=11228272","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:12:00Z","timestamp":1763190720000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228272\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228272","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}