🧑‍🔬 Who cites Indraneil Paul

214 citations of their works from 196 papers of our library (of the 149,439 whose bibliographies we read) · 77 with a page here, the most cited first · ← Indraneil Paul

1. Qwen2.5-Coder Technical ReportarXiv:2409.12186Binyuan Hui, Jian Yang, Zeyu Cui, et al.2024 · 559 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. 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
4. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelinearXiv:2406.11939Tianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 210 citations
5. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
6. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
7. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligencearXiv:2606.19348DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 122 citations
8. 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
9. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
10. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
11. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software EvolutionConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Olivier Duchenne, Jade Copet, et al.2025 · 64 citations
12. MiMo-V2-Flash Technical ReportarXiv:2601.02780Xiaomi LLM-Core Team; Bangjun Xiao; Bingquan Xia; Bo Yang; Bofei Gao; Bowen Shen; Chen Zhang; Chenhong He; Chiheng Lou; Fuli Luo; Gang Wang; Gang Xie; Hailin Zhang; Hanglong Lv; Hanyu Li; Heyu Chen; Hongshen Xu; Houbin Zhang; Huaqiu Liu; Jiangshan Duo; Jianyu Wei; Jiebao Xiao; Jinhao Dong; Jun Shi; Junhao Hu; Kainan Bao; Kang Zhou; Lei Li; Liang Zhao; Linghao Zhang; Peidian Li; Qianli Chen; Shaohui Liu; Shihua Yu; Shijie Cao; Shimao Chen; Shouqiu Yu; Shuo Liu; Tianling Zhou; Weijiang Su; Weikun Wang; Wenhan Ma; Xiangwei Deng; Bohan Mao; Bowen Ye; Can Cai; Chenghua Wang; Chengxuan Zhu; Chong Ma; Chun Chen; Chunan Li; Dawei Zhu; Deshan Xiao; Dong Zhang; Duo Zhang; Fangyue Liu; Feiyu Yang; Fengyuan Shi; Guoan Wang; Hao Tian; Hao Wu; Heng Qu; Hongfei Yi; Hongxu An; Hongyi Guan; Xing Zhang; Yifan Song; Yihan Yan; Yihao Zhao; Yingchun Lai; Yizhao Gao; Yu Cheng; Yuanyuan Tian; Yudong Wang; Zhen Tang; Zhengju Tang; Zhengtao Wen; Zhichao Song; Zhixian Zheng; Zihan Jiang; Jian Wen; Jiarui Sun; Jiawei Li; Jinlong Xue; Jun Xia; Kai Fang; Menghang Zhu; Nuo Chen; Qian Tu; Qihao Zhang; Qiying Wang; Rang Li; Rui Ma; Shaolei Zhang; Shengfan Wang; Shicheng Li; Shuhao Gu; Shuhuai Ren; Sirui Deng; Tao Guo; Tianyang Lu; Weiji Zhuang; Weikang Zhang; Weimin Xiong; Wenshan Huang; Wenyu Yang; Xin Zhang; Xing Yong; Xu Wang; Xueyang Xie; Yilin Jiang; Yixin Yang; Yongzhe He; Yu Tu; Yuanliang Dong; Yuchen Liu; Yue Ma; Yue Yu; Yuxing Xiang; Zhaojun Huang; Zhenru Lin; Zhipeng Xu; Zhiyang Chen; Zhonghua Deng; Zihan Zhang;, Zihao Yue2026 · 60 citations
13. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
14. SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application ScenariosInternational Workshop on Semantic Evaluation (SemEval)Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.2026 · 41 citations
15. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
16. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo RatingsarXiv:2501.01257Shanghaoran Quan, Jiaxi Yang, Bowen Yu, et al.2025 · 37 citations
17. OpenCodeReasoning: Advancing Data Distillation for Competitive CodingarXiv:2504.01943Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.2025 · 33 citations
18. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
19. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
20. Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed InferencearXiv:2508.02193Yuxuan Song, Zheng Zhang, Cheng Luo, et al.2025 · 28 citations
21. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
22. Seed-Coder: Let the Code Model Curate Data for ItselfarXiv:2506.03524ByteDance Seed, Yuyu Zhang, Jing Su, et al.2025 · 25 citations
23. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
24. 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
25. DataSciBench: An LLM Agent Benchmark for Data ScienceFindings of the Association for Computational LinguisticsDan Zhang, Sining Zhoubian, Min Cai, et al.2026 · 13 citations
26. Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant EvaluationarXiv:2501.14275Sadegh Mahdavi, Muchen Li, Kaiwen Liu, et al.2025 · 10 citations
27. M2RC-EVAL: Massively Multilingual Repository-level Code Completion EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaheng Liu, Ken Deng, Congnan Liu, et al.2025 · 8 citations
28. Case2Code: Scalable Synthetic Data for Code GenerationInternational Conference on Computational Linguistics (COLING)Yunfan Shao, Linyang Li, Yichuan Ma, et al.2025 · 7 citations
29. A Study of LLMs' Preferences for Libraries and Programming LanguagesFindings of the Association for Computational LinguisticsLukas Twist, Mark Harman, Don Syme, et al.2026 · 5 citations
30. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache CompressionarXiv:2609.19969DeepSeek-AI, Anyi Xu, B. Li, et al.2026 · 3 citations
31. Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMsarXiv:2506.19290Liang Zeng, Yongcong Li, Yuzhen Xiao, et al.2025 · 3 citations
32. MiniMax Sparse AttentionarXiv:2606.13392Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.2026 · 2 citations
33. ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Ruwad Naswan, Dipit Saha, Md. Kabir, et al.2026 · 1 citation
34. CodeDet-NITS at SemEval-2026 Task 13: AI Code Authorship Detection Beyond TruncationInternational Workshop on Semantic Evaluation (SemEval)Lekkala Sai Teja, Annepaka Yadagiri, Kshitij Patiyal, et al.2026 · 1 citation
35. 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
36. CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sizhe Wang, Zhengren Wang, Dongsheng Ma, et al.2026 · 1 citation
37. ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lingxiao Tang, He Ye, Zhaoyang Chu, et al.2026 · 1 citation
38. Farhan Nafis Rayhan at SemEval-2026 Task 13: Supervised Contrastive Learning Approach with Gated Multiclass Decomposition Ensemble Architecture for Code Authorship IdentificationInternational Workshop on Semantic Evaluation (SemEval)Farhan Rayhan, Fariska Ruskanda2026 · 1 citation
39. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
40. Inferring Events from Time Series using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingtian Tan, Mike A Merrill, Zachary Gottesman, et al.2026 · 1 citation
41. LATE-IIMAS at Semeval-2026 Task 13: Evaluating GNNs, PLMs, LLMs, and Stylometry for Automatic Code IdentificationInternational Workshop on Semantic Evaluation (SemEval)Andric Valdez, Emmanuel Ancona, Sebastián Bernardino, et al.2026 · 1 citation
42. OpenCompass: A Universal Evaluation Platform for Large Language ModelsarXiv:2605.19276Maosong Cao, Kai Chen, Haodong Duan, et al.2026 · 1 citation
43. SpecAgent: A Speculative Retrieval and Forecasting Agent for Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)George Ma, Anurag Koul, Qi Chen, et al.2026 · 1 citation
44. Stylometry at SemEval-2026 Task 13: Clustered Stylometric Modeling for Machine-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Sruthi Santhanam, Parthib Sarkar, Yashvardhan Sharma2026 · 1 citation
45. TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Avi Patel, Manthan Laddha, Pushti Sapovadiya, et al.2026 · 1 citation
46. UCoder: Unsupervised Code Generation by Internal Probing of Large Language ModelsFindings of the Association for Computational LinguisticsJiajun Wu, Jian Yang, Wei Zhang, et al.2026 · 1 citation
47. UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Cuong Pham, Minh Nguyen, Minh Le, et al.2026 · 1 citation
48. V-GameGym: Visual Game Generation for Code Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhang, Jian Yang, Renshuai Tao, et al.2026 · 1 citation
49. Verification-Aware Planning for Multi-Agent SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyang Xu, Dan Zhang, Kushan Mitra, et al.2026 · 1 citation
50. 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
51. AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM CodingFindings of the Association for Computational LinguisticsSamuel Osebe, Fan Yang, Junyi Li, et al.2026
52. Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward ModelsFindings of the Association for Computational LinguisticsQiyuan Zhang, Yufei Wang, Tianhe Wu, et al.2026
53. 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
54. CodeRM-NT: Reward Model for Code RL without Unit TestsFindings of the Association for Computational LinguisticsXiao Xia, Dan Zhang, Tianrui Sun2026
55. contestant001 at SemEval-2026 Task 13 Stylometric and TF-IDF-Based Detection of Machine-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Bora Ozaylar2026
56. FMISUYotkovaKastreva at SemEval-2026 Task 13: Lightweight Detection of LLM-Generated Code via Stylometric SignalsInternational Workshop on Semantic Evaluation (SemEval)Elitsa Yotkova, Violeta Kastreva, Dimitar Dimitrov, et al.2026
57. From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Yanli Wang, Yanlin Wang, Bowen Zhang, et al.2026
58. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
59. HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated codeInternational Workshop on Semantic Evaluation (SemEval)Dmitry Sukhotin, How Yu2026
60. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
61. LAFED at SemEval-2026 Task 13: Language-Agnostic Feature Engineering for Cross-Lingual AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Juan David Villate2026
62. LoopCoder: Scaling Code Intelligence via Looped Language ModelsFindings of the Association for Computational LinguisticsJian Yang, Wei Zhang, Shuyue Guo, et al.2026
63. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe GraphingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Jinxuan Cai, Yishen Li, et al.2026
64. mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Adam Skurla, Dominik Macko, Jakub Simko2026
65. MindFlayer at SemEval-2026 Task 13:LACR-ENS: Calibration-Aware Ensemble Routing for Cross-Language AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Jerin Romijah Tuli, Talukder Naemul Hasan Naem, Md. Sartaj Alam Pritom2026
66. MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Xia, Zheyuan Yang, Arman Cohan, et al.2026
67. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
68. PerfCoder: Large Language Models for Interpretable Code Performance OptimizationFindings of the Association for Computational LinguisticsJiuding Yang, Shengyao Lu, Hongxuan Liu, et al.2026
69. Pixel Phantoms at SemEval-2026 Task 13: Exploring Classical and Neural Approaches for AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Jithu Morrison S, Janani Hariharakrishnan, Angel Deborah S, et al.2026
70. Segmentation Fault at SemEval-2026 Task 13: A Regularization-First Approach with Generator-Based Out-of-Distribution Splits for Detecting AI-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Lakshmi Priya Swaminatha Rao, Dhannya Santhakumari Madhavan, Sreya Kodeswaran, et al.2026
71. SemEval-2026 Task 13: Fine-tuned CodeBERT with Stratified Balancing, Dynamic Threshold Optimization, and Logit Bias Correction for Robust Multi-Language AI Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Udaythalavesh S, Rajalakshmi Sivanaiah, Angel Deborah S2026
72. Team Poznan at SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application ScenariosInternational Workshop on Semantic Evaluation (SemEval)Dawid Siera, Anatol Kaczmarek, Wiktor Kamzela, et al.2026
73. Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Yuvan Ramesh, Tongtong Wu2026
74. TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning StudyInternational Workshop on Semantic Evaluation (SemEval)Nahid Niyaz Shovon, Md. Naim Parvez2026
75. TeleAI at SemEval-2026 Task 13: Data-Centric Full-Parameter Fine-Tuning with Multi-Level Ensembling for Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Shiquan Wang, Fang Yu, Shuangyong Song, et al.2026
76. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
77. YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution ShiftsInternational Workshop on Semantic Evaluation (SemEval)Lixian Xing, Jin Wang, Xuejie Zhang2026

119 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/indraneil-paul/cited-by/