🧑‍🔬 Who cites Seung-won Hwang

55 citations of their works from 54 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← Seung-won Hwang

1. Qwen2.5-Coder Technical ReportarXiv:2409.12186Binyuan Hui, Jian Yang, Zeyu Cui, et al.2024 · 559 citations
2. A Survey on Large Language Models for Code GenerationACM Transactions on Software Engineering and MethodologyJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
3. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
4. LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsConference on Neural Information Processing Systems (NeurIPS)Kaiyu Yang, Aidan M. Swope, Alex Gu, et al.2023 · 253 citations
5. ToolQA: A Dataset for LLM Question Answering with External ToolsConference on Neural Information Processing Systems (NeurIPS)Yuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 182 citations
6. Natural Language Reasoning, A SurveyACM Computing SurveysFei Yu, Hongbo Zhang, Prayag Tiwari, et al.2023 · 130 citations
7. RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and GenerationarXiv:2303.12570Fengji Zhang, Bei Chen, Yue Zhang, et al.2023 · 119 citations
8. Evidentiality-guided Generation for Knowledge-Intensive NLP TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Akari Asai, Matt Gardner, Hannaneh Hajishirzi2022 · 60 citations
9. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationarXiv:2403.05313Zihao Wang, Anji Liu, Haowei Lin, et al.2024 · 46 citations
10. RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Wanlong Liu, Junying Chen, Ke Ji, et al.2025 · 19 citations
11. Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language ModelsFindings of the Association for Computational LinguisticsBang Zhang, Ruotian Ma, Qingxuan Jiang, et al.2026 · 6 citations
12. MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Wu, Jie Xu, Yun Peng, et al.2026 · 5 citations
13. Research Progress of Pre-trained Model in Software Engineering (预训练模型在软件工程领域应用研究进展)Journal of SoftwareLina Gong (宫丽娜), Yiren Zhou (周易人), Yu Qiao (乔羽), et al.2024 · 1 citation
14. Across Programming Language Silos: A Study on Cross-Lingual Retrieval-Augmented Code GenerationFindings of the Association for Computational LinguisticsQiming Zhu, Jialun Cao, Xuanang Chen, et al.2026
15. Agent Newsroom: Efficient Chronological Report Generation via Dynamic Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenhua Wang, Chunlei Wang, Yue Geng, et al.2026
16. ArkRepoBench: A Repository-Level Code Completion Benchmark for HarmonyOS DevelopmentFindings of the Association for Computational LinguisticsYanlin Wang, Bowen Zhang, Yanli Wang, et al.2026
17. Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)Journal of SoftwareQuanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.2025

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