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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 7 of 19 · 601–700 · ← Akhil Mathur

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  1. A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard ProblemsarXiv:2411.18872Roozbeh Yousefzadeh, Xuenan Cao, Azim Ospanov2024 · 7 citations
  2. Eureka: Evaluating and Understanding Large Foundation ModelsarXiv:2409.10566Vidhisha Balachandran, Jingya Chen, Neel Joshi, et al.2024 · 7 citations
  3. Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation ModelsarXiv:2405.15143Cong Lu, Shengran Hu, Jeff Clune2024 · 7 citations
  4. Autoformalizer with Tool FeedbackarXiv:2510.06857Qi Guo; Jianing Wang; Jianfei Zhang; Deyang Kong; Xiangzhou Huang; Xiangyu Xi; Wei Wang; Jingang Wang; Xunliang Cai; Shikun Zhang;, Wei Ye2025 · 6 citations
  5. Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American EnglisharXiv:2503.04099Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.2025 · 6 citations
  6. InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM ResearcharXiv:2510.27598Yunze Wu, Dayuan Fu, Weiye Si, et al.2025 · 6 citations
  7. LLM-Oriented Token-Adaptive Knowledge DistillationarXiv:2510.11615Xurong Xie, Zhucun Xue, Jiafu Wu, et al.2025 · 6 citations
  8. Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and DistillationarXiv:2502.01694Juno Kim, Denny Wu, Jason Lee, et al.2025 · 6 citations
  9. Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUsarXiv:2504.07866Yichun Yin, Wenyong Huang, Kaikai Song, et al.2025 · 6 citations
  10. Training AI Co-Scientists Using Rubric RewardsarXiv:2512.23707Shashwat Goel, Rishi Hazra, Dulhan Jayalath, et al.2025 · 6 citations
  11. Automating Exploratory Proteomics Research via Language ModelsarXiv:2411.03743Ning Ding, Shang Qu, Linhai Xie, et al.2024 · 6 citations
  12. Give me a hint: Can LLMs take a hint to solve math problems?arXiv:2410.05915Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, et al.2024 · 6 citations
  13. Attention Sinks in Diffusion Language ModelsFindings of the Association for Computational LinguisticsMaximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.2026 · 5 citations
  14. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkarXiv:2602.01714Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
  15. LLM Dependency Parsing with In-Context RulesMichael Ginn, Alexis Palmer2025 · 5 citations
  16. MizanQA: Benchmarking Large Language Models on Moroccan Legal Question AnsweringarXiv:2508.16357Adil Bahaj, Mounir Ghogho2025 · 5 citations
  17. RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguardsarXiv:2506.07736 · 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 39th Conference on Neural Information Processing Systems (NeurIPS 2025)Jingnan Zheng, Xiangtian Ji, Yijun Lu, et al.2025 · 5 citations
  18. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
  19. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  20. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 4 citations
  21. Large Language Models for Mental Health: A Multilingual EvaluationWorkshop on Language Models for Low-Resource LanguagesNishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, et al.2026 · 4 citations

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