🧑‍🔬 Who cites Tyler Griggs

238 citations of their works from 230 papers of our library (of the 149,439 whose bibliographies we read) · 46 with a page here, the most cited first · ← Tyler Griggs

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
3. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 152 citations
4. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
5. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
6. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem ComplexityConference on Neural Information Processing Systems (NeurIPS)Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, et al.2025 · 104 citations
7. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
8. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
9. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
10. Reasoning Models Can Be Effective Without ThinkingarXiv:2504.09858Wenjie Ma, Jingxuan He, Charlie Snell, et al.2025 · 58 citations
11. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
12. AdaptThink: Reasoning Models Can Learn When to ThinkConference on Empirical Methods in Natural Language Processing (EMNLP)Jiajie Zhang, Nianyi Lin, Lei Hou, et al.2025 · 44 citations
13. Learning to Reason without External RewardsarXiv:2505.19590Xuandong Zhao, Zhewei Kang, Aosong Feng, et al.2025 · 44 citations
14. Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language ModelsarXiv:2502.17387Alon Albalak, Duy Phung, Nathan Lile, et al.2025 · 43 citations
15. KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for CodingFindings of the Association for Computational LinguisticsZhangchen Xu, Yang Liu, Yueqin Yin, et al.2025 · 36 citations
16. OpenCodeReasoning: Advancing Data Distillation for Competitive CodingarXiv:2504.01943Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.2025 · 33 citations
17. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
18. Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT DistillationarXiv:2503.16385Yijia Luo, Yulin Song, Xingyao Zhang, et al.2025 · 14 citations
19. 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
20. 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
21. Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM ReasoningarXiv:2505.15154Jinghui Lu, Haiyang Yu, Siliang Xu, et al.2025 · 11 citations
22. 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
23. AlphaOne: Reasoning Models Thinking Slow and Fast at Test TimeConference on Empirical Methods in Natural Language Processing (EMNLP)Junyu Zhang, Runpei Dong, Han Wang, et al.2025 · 10 citations
24. 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
25. Teach Small Models to Reason by Curriculum DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Wangyi Jiang, Yaojie Lu, Hongyu Lin, et al.2025 · 5 citations
26. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.2026 · 4 citations
27. Less is More: Improving LLM Reasoning with Minimal Test-Time InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Mingyang Zhang, Feng Chen, et al.2026 · 2 citations
28. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingFindings of the Association for Computational LinguisticsYunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.2026 · 2 citations
29. Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.2026 · 2 citations
30. Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Wu, Liyi Chen, Congxi Xiao, et al.2026 · 1 citation
31. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionFindings of the Association for Computational LinguisticsZhuoyang Wu, Xinze Li, Zhenghao Liu, et al.2026 · 1 citation
32. How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and ActivationFindings of the Association for Computational LinguisticsHao Yang, Qinghua Zhao, Lei Li, et al.2026 · 1 citation
33. NEAT: Neuron-Based Early Exit for Large Reasoning ModelsFindings of the Association for Computational LinguisticsKang Liu, YongKang Liu, Xiaocui Yang, et al.2026 · 1 citation
34. Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hanbing Liu, Lang Cao, Yuanyi Ren, et al.2026 · 1 citation
35. Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative VerifierAnnual Meeting of the Association for Computational Linguistics (ACL)Jianyuan Zhong, Zeju Li, Zhijian Xu, et al.2026 · 1 citation
36. When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiang, Yixin Ji, Ruotao Xu, et al.2026 · 1 citation
37. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyAnnual Conference of the European Association for Machine Translation (EAMT)Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
38. ETR: Entropy Trend Reward for Efficient Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan Xiong, Huan Liu, Li Gu, et al.2026
39. Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition BottleneckAnnual Meeting of the Association for Computational Linguistics (ACL)Meiru Zhang, Zaiqiao Meng, Nigel Collier2026
40. Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model FactualityFindings of the Association for Computational LinguisticsMike Zhang, Johannes Bjerva, Russa Biswas2026
41. Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement LearningFindings of the Association for Computational LinguisticsTiehua Mei, Minxuan Lv, Leiyu Pan, et al.2026
42. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
43. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
44. MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Yang, Jianjun Li, Zhibo Zhang, et al.2026
45. Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied AgentsFindings of the Association for Computational LinguisticsHanlin Wang, Chak Tou Leong, Jian Wang, et al.2026
46. Shorten After You're Right: Lazy Length Penalties for Reasoning RLFindings of the Association for Computational LinguisticsDanlong Yuan, Tian Xie, Shaohan Huang, et al.2026

184 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/tyler-griggs/cited-by/