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Who cites Adrian Weller

1,031 citations of their works from 1,023 papers of our library (of the 149,439 whose bibliographies we read) · 321 with a page here, the most cited first · page 3 of 4 · 201–300 · ← Adrian Weller

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  1. 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
  2. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 27 citations
  3. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
  4. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
  5. Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM ReasoningarXiv:2507.00432Maggie Huan, Yuetai Li, Tuney Zheng, et al.2025 · 25 citations
  6. HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem ProvingarXiv:2412.20735Yang Li, Dong Du, Linfeng Song, et al.2024 · 25 citations
  7. AI-Assisted Generation of Difficult Math QuestionsarXiv:2407.21009Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.2024 · 23 citations
  8. Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical ReasoningarXiv:2407.00782Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 23 citations
  9. Block-State TransformersarXiv:2306.09539Mahan Fathi, Jonathan Pilault, Orhan Firat, et al.2023 · 20 citations
  10. 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
  11. REFORMS: Reporting Standards for Machine Learning Based SciencearXiv:2308.07832Sayash Kapoor, Emily Cantrell, Kenny Peng, et al.2023 · 19 citations
  12. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?arXiv:2505.17407Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, et al.2025 · 17 citations
  13. Entropy-Regularized Process Reward ModelarXiv:2412.11006Hanning Zhang, Pengcheng Wang, Shizhe Diao, et al.2024 · 17 citations
  14. 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
  15. Mathematical exploration and discovery at scalearXiv:2511.02864Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, et al.2025 · 16 citations
  16. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
  17. MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsarXiv:2405.19444Zhenwen Liang, Dian Yu, Wenhao Yu, et al.2024 · 16 citations
  18. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
  19. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  20. Understanding Chain-of-Thought in LLMs through Information TheoryarXiv:2411.11984Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu2024 · 14 citations
  21. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
  22. Linear Attention Sequence ParallelismarXiv:2404.02882Weigao Sun, Zhen Qin, Dong Li, et al.2024 · 12 citations
  23. Longhorn: State Space Models are Amortized Online LearnersarXiv:2407.14207Bo Liu, Rui Wang, Lemeng Wu, et al.2024 · 11 citations
  24. MIND: Math Informed syNthetic Dialogues for Pretraining LLMsarXiv:2410.12881Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, et al.2024 · 11 citations
  25. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 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. Weight Ensembling Improves Reasoning in Language ModelsarXiv:2504.10478 · COLM 2025Xingyu Dang, Christina Baek, Kaiyue Wen, et al.2025 · 10 citations
  28. MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language ModelarXiv:2409.13729Zhen Yang, Jinhao Chen, Zhengxiao Du, et al.2024 · 10 citations
  29. Progress or Regress? Self-Improvement Reversal in Post-trainingarXiv:2407.05013Ting Wu, Xuefeng Li, Pengfei Liu2024 · 10 citations
  30. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
  31. Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training StagesarXiv:2501.14002Zui Chen, Tianqiao Liu, Mi Tian, et al.2025 · 9 citations
  32. Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum PhysicsarXiv:2510.12787Benjamin Breen, Marco Del Tredici, Jacob McCarran, et al.2025 · 9 citations
  33. Improving Physics Reasoning in Large Language Models Using Mixture of Refinement AgentsarXiv:2412.00821Raj Jaiswal, Dhruv Jain, Harsh Parimal Popat, et al.2024 · 9 citations
  34. 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
  35. Stable Code Technical ReportarXiv:2404.01226Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, et al.2024 · 9 citations
  36. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  37. AlphaGo Moment for Model Architecture DiscoveryarXiv:2507.18074Yixiu Liu, Yang Nan, Weixian Xu, et al.2025 · 8 citations
  38. Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad MathematicsarXiv:2504.01995Hamed Mahdavi, Alireza Hashemi, Majid Daliri, et al.2025 · 8 citations
  39. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
  40. SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language ModelsarXiv:2408.15565Dian Yu, Baolin Peng, Ye Tian, et al.2024 · 8 citations
  41. 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
  42. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language ModelsarXiv:2508.06135Lingyuan Liu, Mengxiang Zhang2025 · 4 citations
  43. An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with DiacriticsarXiv:2208.11484Aly Mostafa, Omar Mohamed, Ali Ashraf, et al.2022 · 3 citations
  44. MiniMax Sparse AttentionarXiv:2606.13392Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.2026 · 2 citations

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