Elamur Research⌕
☰
home / authors / Jackson Petty / cited by / page 2

Who cites Jackson Petty

1,073 citations of their works from 1,067 papers of our library (of the 149,439 whose bibliographies we read) · 366 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Jackson Petty

1 2 3 4

  1. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  2. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
  3. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2025 · 38 citations
  4. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  5. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
  6. MiMo-VL Technical ReportarXiv:2506.03569Xiaomi LLM-Core Team, Zihao Yue, Zhenru Lin, et al.2025 · 33 citations
  7. Qwen3Guard Technical ReportarXiv:2510.14276Haiquan Zhao, Chenhan Yuan, Fei Huang, et al.2025 · 33 citations
  8. 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
  9. Jamba-1.5: Hybrid Transformer-Mamba Models at ScalearXiv:2408.12570Jamba Team: Barak Lenz, Alan Arazi, Amir Bergman, et al.2024 · 30 citations
  10. Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 citations
  11. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red TeamingarXiv:2501.18837Mrinank Sharma, Meg Tong, Jesse Mu, et al.2025 · 29 citations
  12. InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language ModelsarXiv:2503.06692Yuchen Yan, Yongliang Shen, Yang Liu, et al.2025 · 29 citations
  13. SEA-LION: Southeast Asian Languages in One NetworkInternational Joint Conference on Natural Language Processing (IJCNLP)Raymond Ng, Thanh Ngan Nguyen, Huang Yuli, et al.2025 · 29 citations
  14. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
  15. 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
  16. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
  17. LLM-as-a-Judge & Reward Model: What They Can and Cannot DoarXiv:2409.11239Guijin Son, Hyunwoo Ko, Hoyoung Lee, et al.2024 · 27 citations
  18. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
  19. PhysReason: A Comprehensive Benchmark towards Physics-Based ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhang, Yuxuan Dong, Yanrui Wu, et al.2025 · 25 citations
  20. Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept SpaceConference on Neural Information Processing Systems (NeurIPS)Zhen Zhang, Xuehai He, Weixiang Yan, et al.2025 · 25 citations
  21. Answer Convergence as a Signal for Early Stopping in ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Liu, Lu Wang2025 · 22 citations
  22. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  23. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  24. MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.2025 · 21 citations
  25. START: Self-taught Reasoner with ToolsConference on Empirical Methods in Natural Language Processing (EMNLP)Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.2025 · 21 citations
  26. “Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, et al.2025 · 21 citations
  27. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentTransactions of the Association for Computational Linguistics (TACL)Karel D'Oosterlinck, Winnie Xu, Chris Develder, et al.2025 · 20 citations
  28. ConCISE: Confidence-guided Compression in Step-by-step Efficient ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ziqing Qiao, Yongheng Deng, Jiali Zeng, et al.2025 · 19 citations
  29. Intern-S1: A Scientific Multimodal Foundation ModelarXiv:2508.15763Lei Bai, Zhongrui Cai, Yuhang Cao, et al.2025 · 19 citations
  30. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Tang, Xiaolei Wang, Zhihao Lv, et al.2025 · 19 citations
  31. AttnPO: Attention-Guided Process Supervision for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaiyi Nie, Dingsiyu, Wenyuan Zhang, et al.2026 · 18 citations
  32. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLMWorkshop on African Natural Language ProcessingYazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.2025 · 18 citations
  33. Hunyuan-MT Technical ReportarXiv:2509.05209Mao Zheng, Zheng Li, Bingxin Qu, et al.2025 · 17 citations
  34. 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
  35. LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting ProblemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nan Xu, Xuezhe Ma2025 · 17 citations
  36. Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-ThoughtarXiv:2504.05599Yi Peng, Peiyu Wang, Xiaokun Wang, et al.2025 · 17 citations
  37. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
  38. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationarXiv:2603.19220Zhuolin Yang, Zihan Liu, Yang Chen, et al.2026 · 16 citations
  39. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
  40. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
  41. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
  42. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
  43. Qwen3-Coder-Next Technical ReportarXiv:2603.00729Ruisheng Cao, Mouxiang Chen, Jiawei Chen, et al.2026 · 15 citations
  44. CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and ReasoningarXiv:2503.13517Hao Cui, Zahra Shamsi, Gowoon Cheon, et al.2025 · 15 citations
  45. 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
  46. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
  47. Evaluating Large Language Models for Health-related Queries with PresuppositionsFindings of the Association for Computational LinguisticsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
  48. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
  49. EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Shi, Rongkeng Liang, Yong Xu2025 · 14 citations
  50. Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsYuan Sui, Yufei He, Tri Cao, et al.2026 · 13 citations
  51. 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
  52. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
  53. Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionarXiv:2505.22375Hanting Chen, Yasheng Wang, Kai Han, et al.2025 · 13 citations
  54. Fast and Effective On-Policy Distillation from Reasoning PrefixesFindings of the Association for Computational LinguisticsDongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.2026 · 12 citations
  55. Dolomites: Domain-Specific Long-Form Methodical TasksTransactions of the Association for Computational Linguistics (TACL)Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.2025 · 12 citations
  56. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  57. Optimizing Length Compression in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiang Cheng, Dongping Chen, Mingyang Fu, et al.2026 · 11 citations
  58. Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical ReasoningFindings of the Association for Computational LinguisticsFei Wu, Zhenrong Zhang, Qikai Chang, et al.2026 · 11 citations
  59. Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Maosong Cao, Taolin Zhang, Mo Li, et al.2025 · 11 citations
  60. Is That Your Final Answer? Test-Time Scaling Improves Selective Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)William Jurayj, Jeffrey Cheng, Benjamin Van Durme2025 · 11 citations
  61. What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gangwei Jiang, Yahui Liu, Zhaoyi Li, et al.2025 · 11 citations
  62. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question AnsweringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rupak Sarkar, Heran Mane, et al.2024 · 11 citations
  63. Yi-Lightning Technical ReportarXiv:2412.01253Alan Wake, Bei Chen, C.X. Lv, et al.2024 · 11 citations
  64. Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Zesheng Shi, Zeen Zhu, et al.2026 · 10 citations
  65. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RLarXiv:2505.17952Che Liu, Haozhe Wang, Jiazhen Pan, et al.2025 · 10 citations
  66. Could Thinking Multilingually Empower LLM Reasoning?arXiv:2504.11833Changjiang Gao, Xu Huang, Wenhao Zhu, et al.2025 · 10 citations
  67. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  68. LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are HigharXiv:2505.22354Judith Sieker, Clara Lachenmaier, Sina Zarrieß2025 · 10 citations
  69. MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMsFindings of the Association for Computational LinguisticsZaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem2025 · 10 citations
  70. QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory ManagementarXiv:2512.12967Weizhou Shen, Ziyi Yang, Chenliang Li, et al.2025 · 10 citations
  71. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
  72. RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sunzhu Li, Jiale Zhao, Huimin Ren, et al.2026 · 9 citations
  73. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
  74. Thinking Out Loud: Do Reasoning Models Know When They're Right?Conference on Empirical Methods in Natural Language Processing (EMNLP)Qingcheng Zeng, Weihao Xuan, Leyang Cui, et al.2025 · 9 citations
  75. ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
  76. LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyue Zhang, Hualei Zhang, Xiaosong Ma, et al.2026 · 8 citations
  77. MUR: Momentum Uncertainty guided Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Yan, Fangzhi Xu, Rongman Xu, et al.2026 · 8 citations
  78. TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
  79. Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Hang Yan, Chang Ma, et al.2025 · 8 citations
  80. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
  81. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUsarXiv:2505.04519Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.2025 · 8 citations
  82. AutoL2S: Auto Long-Short Reasoning for Efficient Large Language ModelsFindings of the Association for Computational LinguisticsFeng Luo, Yu-Neng Chuang, Guanchu Wang, et al.2026 · 7 citations
  83. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
  84. PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang, et al.2026 · 7 citations
  85. Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Renliang Sun, Wei Cheng, Dawei Li, et al.2026 · 7 citations
  86. Cancer-Myth: Evaluating Large Language Models on Patient Questions with False PresuppositionsarXiv:2504.11373Wang Bill Zhu, Tianqi Chen, Xinyan Velocity Yu, et al.2025 · 7 citations
  87. DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gaurav Srivastava, Zhenyu Bi, Meng Lu, et al.2025 · 7 citations
  88. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
  89. Demystifying Multi-Agent Debate: The Role of Confidence and DiversityFindings of the Association for Computational LinguisticsXiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.2026 · 6 citations
  90. Dissecting Failure Dynamics in Large Language Model ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhu, Jian Zhang, Lixing Yu, et al.2026 · 6 citations
  91. Revisiting Model Interpolation for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Taiqiang Wu, Runming Yang, Tao Liu, et al.2026 · 6 citations
  92. RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yihong Dong, Xue Jiang, Yongding Tao, et al.2026 · 6 citations
  93. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Wei, Liang Pang, Jiahao Liu, et al.2026 · 6 citations
  94. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  95. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Guizhen Chen, Weiwen Xu, Hao Zhang, et al.2025 · 6 citations
  96. 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
  97. rStar2-Agent: Agentic Reasoning Technical ReportarXiv:2508.20722Ning Shang, Yifei Liu, Yi Zhu, et al.2025 · 6 citations
  98. CODERL+: Improving Code Generation via Reinforcement with Execution Semantics AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Jiang, Yihong Dong, Mengyang Liu, et al.2026 · 5 citations
  99. EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Bin Xu, Yu Bai, Huashan Sun, et al.2026 · 5 citations
  100. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations

1 2 3 4

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jackson-petty/cited-by/page/2/