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Who cites Akhil Mathur

7,691 citations of their works from 7,689 papers of our library (of the 149,439 whose bibliographies we read) · 1,815 with a page here, the most cited first · page 4 of 19 · 301–400 · ← Akhil Mathur

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  1. AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL SynergyarXiv:2506.13284Zihan Liu, Zhuolin Yang, Yang Chen, et al.2025 · 21 citations
  2. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  3. GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?arXiv:2502.05252Yang Zhou, Hongyi Liu, Zhuoming Chen, et al.2025 · 21 citations
  4. The Limits of Inference Scaling Through ResamplingarXiv:2411.17501Benedikt Stroebl, Sayash Kapoor, Arvind Narayanan2024 · 21 citations
  5. Understanding Emergent In-Context Learning from a Kernel Regression PerspectivearXiv:2305.12766Chi Han, Ziqi Wang, Han Zhao, et al.2023 · 21 citations
  6. NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations
  7. Self-Improvement in Language Models: The Sharpening MechanismarXiv:2412.01951Audrey Huang; Adam Block; Dylan J. Foster; Dhruv Rohatgi; Cyril Zhang; Max Simchowitz; Jordan T. Ash;, Akshay Krishnamurthy2024 · 20 citations
  8. Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackarXiv:2501.03916Jiakang Yuan, Xiangchao Yan, Shiyang Feng, et al.2025 · 19 citations
  9. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
  10. JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language ModelsarXiv:2501.10868Saibo Geng, Hudson Cooper, Michał Moskal, et al.2025 · 19 citations
  11. Language Models Use Trigonometry to Do AdditionarXiv:2502.00873Subhash Kantamneni, Max Tegmark2025 · 19 citations
  12. MegaMath: Pushing the Limits of Open Math CorporaarXiv:2504.02807Fan Zhou, Zengzhi Wang, Nikhil Ranjan, et al.2025 · 19 citations
  13. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language ModelsarXiv:2502.00334Xin Xu, Qiyun Xu, Tong Xiao, et al.2025 · 19 citations
  14. MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical CodearXiv:2410.08196Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 19 citations
  15. Aviary: training language agents on challenging scientific tasksarXiv:2412.21154Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2024 · 18 citations
  16. CamelEval: Advancing Culturally Aligned Arabic Language Models and BenchmarksarXiv:2409.12623Zhaozhi Qian, Faroq Altam, Muhammad Alqurishi, et al.2024 · 18 citations
  17. Densing Law of LLMsarXiv:2412.04315Chaojun Xiao, Jie Cai, Weilin Zhao, et al.2024 · 18 citations
  18. TIP: Token Importance in On-Policy DistillationarXiv:2604.14084Yuanda Xu, Hejian Sang, Zhengze Zhou, et al.2026 · 17 citations
  19. TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of ToolsarXiv:2503.10970Shanghua Gao, Richard Zhu, Zhenglun Kong, et al.2025 · 17 citations
  20. Entropy-Regularized Process Reward ModelarXiv:2412.11006Hanning Zhang, Pengcheng Wang, Shizhe Diao, et al.2024 · 17 citations
  21. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
  22. Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language ModelsarXiv:2412.02980Alex Havrilla, Andrew Dai, Laura O'Mahony, et al.2024 · 17 citations
  23. Can Large Reasoning Models Self-Train?arXiv:2505.21444Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, et al.2025 · 16 citations
  24. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
  25. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  26. Outcome-based Exploration for LLM ReasoningarXiv:2509.06941Yuda Song, Julia Kempe, Remi Munos2025 · 15 citations
  27. Rewriting Pre-Training Data Boosts LLM Performance in Math and CodearXiv:2505.02881Kazuki Fujii, Yukito Tajima, Sakae Mizuki, et al.2025 · 15 citations
  28. Training a Scientific Reasoning Model for ChemistryarXiv:2506.17238Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2025 · 15 citations
  29. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
  30. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
  31. When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex CiphersarXiv:2402.10601Divij Handa, Zehua Zhang, Amir Saeidi, et al.2024 · 15 citations
  32. Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  33. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations

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