🧑‍🔬 Who cites Parshin Shojaee

173 citations of their works from 159 papers of our library (of the 149,439 whose bibliographies we read) · 52 with a page here, the most cited first · ← Parshin Shojaee

1. 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
2. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
3. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
4. OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementFindings of the Association for Computational LinguisticsTianyu Zheng, Ge Zhang, Tianhao Shen, et al.2024 · 129 citations
5. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
6. Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMsarXiv:2506.14245Xumeng Wen, Zihan Liu, Shun Zheng, et al.2025 · 62 citations
7. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement LearningarXiv:2410.02089Jonas Gehring, Kunhao Zheng, Jade Copet, et al.2024 · 51 citations
8. LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsarXiv:2404.18400Parshin Shojaee, Kazem Meidani, Shashank Gupta, et al.2024 · 47 citations
9. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
10. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
11. LLM4SR: A Survey on Large Language Models for Scientific ResearcharXiv:2501.04306Ziming Luo, Zonglin Yang, Zexin Xu, et al.2025 · 39 citations
12. Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
13. ACECODER: Acing Coder RL via Automated Test-Case SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Huaye Zeng, Dongfu Jiang, Haozhe Wang, et al.2025 · 32 citations
14. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Shihan Dou, Yan Liu, Haoxiang Jia, et al.2024 · 32 citations
15. ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task DecompositionarXiv:2503.21248Yujie Liu, Zonglin Yang, Tong Xie, et al.2025 · 25 citations
16. Symbolic Regression with a Learned Concept LibraryConference on Neural Information Processing Systems (NeurIPS)Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, et al.2024 · 23 citations
17. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensFindings of the Association for Computational LinguisticsChengshuai Zhao, Zhen Tan, Pingchuan Ma, et al.2026 · 21 citations
18. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
19. MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Linzhuang Sun, Hao Liang, Jingxuan Wei, et al.2025 · 19 citations
20. LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language ModelsarXiv:2504.10415Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, et al.2025 · 18 citations
21. LLM-Assisted Code Cleaning For Training Accurate Code GeneratorsarXiv:2311.14904Naman Jain, Tianjun Zhang, Wei-Lin Chiang, et al.2023 · 17 citations
22. CodeContests+: High-Quality Test Case Generation for Competitive ProgrammingFindings of the Association for Computational LinguisticsZihan Wang, Siyao Liu, Yang Sun, et al.2025 · 16 citations
23. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
24. Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery SystemsMachine LearningStefan Kramer, Mattia Cerrato, Jannis Brugger, et al.2023 · 13 citations
25. Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement LearningarXiv:2504.05108Anja Surina, Amin Mansouri, Lars Quaedvlieg, et al.2025 · 12 citations
26. Process Supervision-Guided Policy Optimization for Code GenerationarXiv:2410.17621Ning Dai, Zheng Wu, Renjie Zheng, et al.2024 · 12 citations
27. The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical ProofsarXiv:2506.21621Jasper Dekoninck, Ivo Petrov, Kristian Minchev, et al.2025 · 11 citations
28. A Survey of Inductive Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.2026 · 10 citations
29. DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and ExperiencearXiv:2506.04282Runxiang Wang, Boxiao Wang, Kai Li, et al.2025 · 9 citations
30. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier EngineeringarXiv:2411.11504Xinyan Guan, Yanjiang Liu, Xinyu Lu, et al.2024 · 9 citations
31. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM OverthinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, et al.2026 · 4 citations
32. Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box SystemsarXiv:2505.17968Jiayi Geng, Howard Chen, Dilip Arumugam, et al.2025 · 4 citations
33. OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on DemandFindings of the Association for Computational LinguisticsSergio Servantez, Sarah B. Lawsky, Rajiv Jain, et al.2026 · 2 citations
34. Aligned Probing: Relating Toxic Behavior and Model InternalsTransactions of the Association for Computational Linguistics (TACL)Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.2026 · 1 citation
35. PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical LinguisticsFindings of the Association for Computational LinguisticsAtharva Naik, Darsh Agrawal, Prakam, et al.2026 · 1 citation
36. What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary SearchFindings of the Association for Computational LinguisticsXinhao Zhang, Xi Chen, François Portet, et al.2026 · 1 citation
37. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
38. Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Shunwen Bai, Tianheng Wang, et al.2026
39. Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute ScalingFindings of the Association for Computational LinguisticsIvan Rodkin, Daniil Orel, Konstantin Smirnov, et al.2026
40. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
41. Bootstrapping Code Translation with Weighted Multilanguage ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhan Wu, Huan Zhang, Wei Cheng, et al.2026
42. CodeRM-NT: Reward Model for Code RL without Unit TestsFindings of the Association for Computational LinguisticsXiao Xia, Dan Zhang, Tianrui Sun2026
43. Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rheeya Uppaal, Phu Mon Htut, Min Bai, et al.2026
44. Program-of-Thought Reveals LLM Abstraction CeilingsFindings of the Association for Computational LinguisticsMike Zhou, Fenil Bardoliya, Vivek Gupta, et al.2026
45. RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijie Tan, Xu Chu, Guanyu Wang, et al.2026
46. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-ContextTransactions of the Association for Computational Linguistics (TACL)Jackson Petty, Michael Y. Hu, Wentao Wang, et al.2026
47. Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Dayu Wang, Jiaye Yang, Weikang Li, et al.2026
48. SynthFix: Adaptive Neuro-Symbolic Code Vulnerability RepairFindings of the Association for Computational LinguisticsYifan Zhang, Jieyu Li, Kexin Pei, et al.2026
49. The Past and Future of AI ScientistsarXiv:2608.14407Ross D. King2026
50. Thesis Proposal: Intentional Inference for Insight GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kristýna Onderková2026
51. Think Before you Write: QA-Guided Reasoning for Character Descriptions in BooksFindings of the Association for Computational LinguisticsArgyrios Papoudakis, Mirella Lapata, Frank Keller2026
52. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026

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