🧑‍🔬 Who cites Anikait Singh

447 citations of their works from 423 papers of our library (of the 149,439 whose bibliographies we read) · 74 with a page here, the most cited first · ← Anikait Singh

1. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
2. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 209 citations
3. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 192 citations
4. 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
5. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 154 citations
6. 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
7. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
8. 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
9. FAST: Efficient Action Tokenization for Vision-Language-Action ModelsarXiv:2501.09747Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.2025 · 123 citations
10. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 67 citations
11. Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackConference on Neural Information Processing Systems (NeurIPS)Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.2024 · 50 citations
12. The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce HarmConference on Empirical Methods in Natural Language Processing (EMNLP)Aakanksha, Arash Ahmadian, Beyza Ermis, et al.2024 · 49 citations
13. Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters MoreConference on Empirical Methods in Natural Language Processing (EMNLP)Zichen Wen, Yifeng Gao, Shaobo Wang, et al.2025 · 44 citations
14. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
15. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
16. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
17. OpenCodeReasoning: Advancing Data Distillation for Competitive CodingarXiv:2504.01943Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.2025 · 33 citations
18. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
19. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
20. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
21. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
22. Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from ExperiencearXiv:2512.17260Jiangjie Chen, Wenxiang Chen, Jiacheng Du, et al.2025 · 19 citations
23. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
24. 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
25. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
26. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
27. 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
28. The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical ProofsarXiv:2506.21621Jasper Dekoninck, Ivo Petrov, Kristian Minchev, et al.2025 · 11 citations
29. 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
30. SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine TranslationFindings of the Association for Computational LinguisticsWenjie Yang, Mao Zheng, Mingyang Song, et al.2026 · 10 citations
31. Progress or Regress? Self-Improvement Reversal in Post-trainingarXiv:2407.05013Ting Wu, Xuefeng Li, Pengfei Liu2024 · 10 citations
32. 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
33. 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
34. 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
35. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
36. Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Ruida Wang, Yuxin Li, Yi R. Fung, et al.2025 · 7 citations
37. Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtarXiv:2510.04230Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.2025 · 7 citations
38. Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode TheoryConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Li, Nan Zhang, Chenrui Fan, et al.2025 · 6 citations
39. 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
40. PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingcheng Hu, Yinmin Zhang, Shijie Shang, et al.2026 · 5 citations
41. Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMsarXiv:2506.14731Ling Team, Bin Hu, Cai Chen, et al.2025 · 5 citations
42. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM OverthinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, et al.2026 · 4 citations
43. Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanyu Lei, Chenliang Li, Yuning Wu, et al.2026 · 4 citations
44. Controllable LLM Reasoning via Sparse Autoencoder-Based SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Fang, Wenjie Wang, Mingfeng Xue, et al.2026 · 3 citations
45. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem SolvingFindings of the Association for Computational LinguisticsXiyuan Zhou, Xinlei Wang, Yirui He, et al.2026 · 3 citations
46. The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AIConference of the European Chapter of the Association for Computational Linguistics (EACL)Alan Saji, Raj Dabre, Anoop Kunchukuttan, et al.2026 · 3 citations
47. DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal GenerationarXiv:2510.14949Yu Zhou, Sohyun An, Haikang Deng, et al.2025 · 3 citations
48. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingFindings of the Association for Computational LinguisticsYunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.2026 · 2 citations
49. NavA³: Understanding Any Instruction, Navigating Anywhere, Finding AnythingAnnual Meeting of the Association for Computational Linguistics (ACL)Lingfeng Zhang, Xiaoshuai Hao, Yingbo Tang, et al.2026 · 2 citations
50. SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Sihang Zhao, Kangrui Yu, Youliang Yuan, et al.2026 · 2 citations
51. Distillation Traps and Guards: A Calibration Knob for LLM DistillabilityAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, et al.2026 · 1 citation
52. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
53. Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Zhao, Marta Knežević, Tanja Käser2026 · 1 citation
54. Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Shiyu Li, Peiming Li, et al.2026 · 1 citation
55. What Factors Affect LLMs and RLLMs in Financial Question Answering?Findings of the Association for Computational LinguisticsPeng Wang, Xuesi Hu, Jiageng Wu, et al.2026 · 1 citation
56. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
57. 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
58. When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning ModelsFindings of the Association for Computational LinguisticsYingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.2026 · 1 citation
59. Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, et al.2026
60. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
61. Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoning Sun, Mingzhu Cai, Huang He, et al.2026
62. Entropy Scheduling in Reinforcement Learning for Large Language ModelsFindings of the Association for Computational LinguisticsXingjin Wang, Howe Tissue, Lu Wang, et al.2026
63. Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph GenerationLanguage Resources and Evaluation Conference (LREC)Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.2026
64. Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Zexu Sun, Yongcheng Zeng, Erxue Min, et al.2026
65. Limited Linguistic Diversity in Embodied AI DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.2026
66. MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Sun, Yu Song, Teng Shiyu, et al.2026
67. Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment AnalysisLanguage Resources and Evaluation Conference (LREC)Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.2026
68. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026
69. Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time ComputeFindings of the Association for Computational LinguisticsHyewon Suh, Chaojian Li, Cheng-Jhih Shih, et al.2026
70. Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMsFindings of the Association for Computational LinguisticsXiaoyang Liu, Dawei Wang, Tian Li, et al.2026
71. Training Verifier to Assessing Complex Real-World Tool-Use TrajectoriesFindings of the Association for Computational LinguisticsLinzhuang Sun, Mingyang Chen, Hao Liang, et al.2026
72. WildSci: Advancing Scientific Reasoning from In-the-Wild LiteratureFindings of the Association for Computational LinguisticsTengxiao Liu, Deepak Nathani, Zekun Li, et al.2026
73. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
74. Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and EvaluationFindings of the Association for Computational LinguisticsKelvin Han, Claire Gardent2025

349 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/anikait-singh/cited-by/