🧑‍🔬 Who cites Yanjun Shao

242 citations of their works from 229 papers of our library (of the 149,439 whose bibliographies we read) · 54 with a page here, the most cited first · ← Yanjun Shao

1. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
2. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
3. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
4. A-MEM: Agentic Memory for LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Wujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 178 citations
5. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 166 citations
6. MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringarXiv:2410.07095Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al.2024 · 140 citations
7. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
8. R-Judge: Benchmarking Safety Risk Awareness for LLM AgentsFindings of the Association for Computational LinguisticsTongxin Yuan, Zhiwei He, Lingzhong Dong, et al.2024 · 106 citations
9. Data Interpreter: An LLM Agent for Data ScienceFindings of the Association for Computational LinguisticsSirui Hong, Yizhang Lin, Bang Liu, et al.2025 · 91 citations
10. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
11. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
12. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
13. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
14. LocAgent: Graph-Guided LLM Agents for Code LocalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoling Chen, Robert Tang, Gangda Deng, et al.2025 · 27 citations
15. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
16. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations
17. Seed-Coder: Let the Code Model Curate Data for ItselfarXiv:2506.03524ByteDance Seed, Yuyu Zhang, Jing Su, et al.2025 · 25 citations
18. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
19. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
20. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Dayu Yang, Tianyang Liu, Daoan Zhang, et al.2025 · 19 citations
21. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationarXiv:2603.19220Zhuolin Yang, Zihan Liu, Yang Chen, et al.2026 · 16 citations
22. Qwen3-Coder-Next Technical ReportarXiv:2603.00729Ruisheng Cao, Mouxiang Chen, Jiawei Chen, et al.2026 · 15 citations
23. AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsFindings of the Association for Computational LinguisticsJiabin Tang, Tianyu Fan, Chao Huang2026 · 13 citations
24. CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hongchao Jiang, Yiming Chen, Yushi Cao, et al.2026 · 13 citations
25. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
26. Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case StudyInternational Conference on Computational Linguistics (COLING)Bowen Li, Wenhan Wu, Ziwei Tang, et al.2025 · 13 citations
27. Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
28. AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific ResearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhao, Weiyuan Chen, Zhijian Xu, et al.2025 · 9 citations
29. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
30. Scaling Collaborative Effort with AgentsFindings of the Association for Computational LinguisticsShannon Zejiang Shen, Valerie Chen, Ken Gu, et al.2026 · 7 citations
31. SWE-QA: Can Language Models Answer Repository-level Code Questions?Findings of the Association for Computational LinguisticsWeihan Peng, Yuling Shi, Yuhang Wang, et al.2026 · 7 citations
32. From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajun Zhang, Zeyu Cui, Jiaxi Yang, et al.2026 · 6 citations
33. Coding Agents with Multimodal Browsing are Generalist Problem SolversFindings of the Association for Computational LinguisticsAditya Bharat Soni, Boxuan Li, Xingyao Wang, et al.2026 · 5 citations
34. AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World ContextsAnnual Meeting of the Association for Computational Linguistics (ACL)Keyu Li, Junhao Shi, Yang Xiao, et al.2026 · 4 citations
35. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ding, Shichun Liu, Enhui Yang, et al.2026 · 4 citations
36. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
37. Kimi-Dev: Agentless Training as Skill Prior for SWE-AgentsarXiv:2509.23045Zonghan Yang, Shengjie Wang, Kelin Fu, et al.2025 · 4 citations
38. Agentic Rubrics as Contextual Verifiers for SWE AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Raghavendra, Anisha Gunjal, Bing Liu, et al.2026 · 3 citations
39. SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data ScienceAnnual Meeting of the Association for Computational Linguistics (ACL)Wonduk Seo, Juhyeon Lee, Yanjun Shao, et al.2026 · 3 citations
40. Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMsarXiv:2506.19290Liang Zeng, Yongcong Li, Yuzhen Xiao, et al.2025 · 3 citations
41. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
42. Learning to Ideate for Machine Learning Engineering AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yunxiang Zhang, Kang Zhou, Zhichao Xu, et al.2026 · 2 citations
43. CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
44. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to RepositoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Peng, Xin Yin, Pu Zhao, et al.2026 · 1 citation
45. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasksFindings of the Association for Computational LinguisticsChau Minh Pham, Zichao Wang, Puneet Mathur, et al.2026
46. Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking AttacksTransactions of the Association for Computational Linguistics (TACL)Shoumik Saha, Jifan Chen, Sam Mayers, et al.2026
47. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
48. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science AnalysisFindings of the Association for Computational LinguisticsHao Wang, Jindong Han, Wei Fan, et al.2026
49. EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanqi Mu, Bingfeng Pi, Defei Xia, et al.2026
50. GATE: Graph-based Adaptive Tool Evolution Across Diverse TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Jianwen Luo, Yiming Huang, Jinxiang Meng, et al.2026
51. HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Shi, Qibo Qiu, Xuefeng, et al.2026
52. IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Fengbo Ma, Zixin Rao, Xiaoting Li, et al.2026
53. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
54. When “Correct” Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Yibo Peng, James Song, Lei Li, et al.2026

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