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Who cites Nikolay Bashlykov

7,120 citations of their works from 7,116 papers of our library (of the 149,439 whose bibliographies we read) · 1,529 with a page here, the most cited first · page 7 of 16 · 601–700 · ← Nikolay Bashlykov

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  1. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-JudgeConference on Empirical Methods in Natural Language Processing (EMNLP)Tianhao Wu, Weizhe Yuan, Olga Golovneva, et al.2025 · 64 citations
  2. SpiRit-LM: Interleaved Spoken and Written Language ModelTransactions of the Association for Computational Linguistics (TACL)Tu Anh Nguyen, Benjamin Muller, Bokai Yu, et al.2025 · 64 citations
  3. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 64 citations
  4. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  5. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  6. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
  7. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
  8. Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.2024 · 63 citations
  9. VinePPO: Refining Credit Assignment in RL Training of LLMsarXiv:2410.01679Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.2024 · 63 citations
  10. Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion TokensarXiv:2401.17377Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al.2024 · 62 citations
  11. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
  12. Multimodal Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Zheng, Xinwei Feng, Qingyi Si, et al.2024 · 62 citations
  13. ToMBench: Benchmarking Theory of Mind in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, et al.2024 · 62 citations
  14. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  15. Rephrase and Respond: Let Large Language Models Ask Better Questions for ThemselvesarXiv:2311.04205Yihe Deng, Weitong Zhang, Zixiang Chen, et al.2023 · 62 citations
  16. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, et al.2025 · 61 citations
  17. Small Models Struggle to Learn from Strong ReasonersFindings of the Association for Computational LinguisticsYuetai Li, Xiang Yue, Zhangchen Xu, et al.2025 · 61 citations
  18. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
  19. Teaching Large Language Models to Reason with Reinforcement LearningarXiv:2403.04642Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.2024 · 61 citations
  20. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
  21. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
  22. Compressed Chain of Thought: Efficient Reasoning Through Dense RepresentationsarXiv:2412.13171Jeffrey Cheng, Benjamin Van Durme2024 · 60 citations
  23. mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsarXiv:2408.04840Jiabo Ye, Haiyang Xu, Haowei Liu, et al.2024 · 60 citations
  24. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  25. CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language ModelsarXiv:2311.16832Jinfeng Zhou, Zhuang Chen, Dazhen Wan, et al.2023 · 60 citations
  26. Data Filtering NetworksarXiv:2309.17425Alex Fang, Albin Madappally Jose, Amit Jain, et al.2023 · 60 citations
  27. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesArabic Natural Language Processing Conference (ArabicNLP)Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  28. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
  29. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  30. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaijie She, Wei Zou, Shujian Huang, et al.2024 · 59 citations
  31. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  32. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
  33. Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable SummarizationarXiv:2311.09184Yixin Liu, Alexander R. Fabbri, Jiawen Chen, et al.2023 · 59 citations
  34. EQ-Bench: An Emotional Intelligence Benchmark for Large Language ModelsarXiv:2312.06281Samuel J. Paech2023 · 59 citations
  35. Investigating the Catastrophic Forgetting in Multimodal Large Language ModelsarXiv:2309.10313Yuexiang Zhai, Shengbang Tong, Xiao Li, et al.2023 · 59 citations
  36. SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yige Xu, Xu Guo, Zhiwei Zeng, et al.2025 · 58 citations
  37. A Practical Review of Mechanistic Interpretability for Transformer-Based Language ModelsarXiv:2407.02646Daking Rai, Yilun Zhou, Shi Feng, et al.2024 · 58 citations
  38. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
  39. Free Process Rewards without Process LabelsarXiv:2412.01981Lifan Yuan, Wendi Li, Huayu Chen, et al.2024 · 58 citations
  40. MaLA-500: Massive Language Adaptation of Large Language ModelsarXiv:2401.13303Peiqin Lin, Shaoxiong Ji, Jorg Tiedemann, et al.2024 · 58 citations
  41. MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zimu Lu, Aojun Zhou, Houxing Ren, et al.2024 · 58 citations
  42. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationarXiv:2308.02773Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.2023 · 58 citations
  43. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
  44. Autonomous LLM-driven research from data to human-verifiable research papersNEJM AITal Ifargan, Lukas Hafner, Maor Kern, et al.2024 · 57 citations
  45. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
  46. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Dawei Li, Sizhe Wang, et al.2024 · 57 citations
  47. Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step ReasoningarXiv:2401.10480Yiwei Li, Peiwen Yuan, Shaoxiong Feng, et al.2024 · 57 citations
  48. HelpSteer2-Preference: Complementing Ratings with PreferencesarXiv:2410.01257Zhilin Wang, Alexander Bukharin, Olivier Delalleau, et al.2024 · 57 citations
  49. Reducing Transformer Key-Value Cache Size with Cross-Layer AttentionConference on Neural Information Processing Systems (NeurIPS)William Brandon, Mayank Mishra, Aniruddha Nrusimha, et al.2024 · 57 citations
  50. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
  51. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Shaolei Zhang, Tian Yu, Yang Feng2024 · 57 citations
  52. Understanding and Mitigating Language Confusion in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, et al.2024 · 57 citations
  53. Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
  54. Massively Multi-Cultural Knowledge Acquisition & LM BenchmarkingarXiv:2402.09369Yi Fung, Ruining Zhao, Jae Doo, et al.2024 · 56 citations
  55. RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-FoldConference on Neural Information Processing Systems (NeurIPS)Amrith Setlur, Saurabh Garg, Xinyang Geng, et al.2024 · 56 citations
  56. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
  57. The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive ConversationarXiv:2312.09085Rongwu Xu, Brian S. Lin, Shujian Yang, et al.2023 · 56 citations
  58. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
  59. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse PromptsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.2024 · 55 citations
  60. HELMET: How to Evaluate Long-Context Language Models Effectively and ThoroughlyarXiv:2410.02694Howard Yen, Tianyu Gao, Minmin Hou, et al.2024 · 55 citations
  61. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop QueriesConference on Empirical Methods in Natural Language Processing (EMNLP)Eden Biran, Daniela Gottesman, Sohee Yang, et al.2024 · 55 citations
  62. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
  63. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Wang, Ruiyang Ren, Junyi Li, et al.2024 · 55 citations
  64. SciAgent: Tool-augmented Language Models for Scientific ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yubo Ma, Zhibin Gou, Junheng Hao, et al.2024 · 55 citations
  65. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsarXiv:2402.14903Aaditya K. Singh, DJ Strouse2024 · 55 citations
  66. LM-Polygraph: Uncertainty Estimation for Language ModelsarXiv:2311.07383Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, et al.2023 · 55 citations
  67. Zoology: Measuring and Improving Recall in Efficient Language ModelsarXiv:2312.04927Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re2023 · 55 citations
  68. A Survey of Resource-efficient LLM and Multimodal Foundation ModelsarXiv:2401.08092Mengwei Xu, Wangsong Yin, Dongqi Cai, et al.2024 · 54 citations
  69. ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RLarXiv:2402.19446Yifei Zhou, Andrea Zanette, Jiayi Pan, et al.2024 · 54 citations
  70. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  71. Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language ModelsarXiv:2406.13542Guanting Dong, Keming Lu, Chengpeng Li, et al.2024 · 54 citations
  72. Scaling Laws of RoPE-based ExtrapolationarXiv:2310.05209Xiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 54 citations
  73. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
  74. IndoCulture: Exploring Geographically Influenced Cultural Commonsense Reasoning Across Eleven Indonesian ProvincesTransactions of the Association for Computational Linguistics (TACL)Fajri Koto, Rahmad Mahendra, Nurul Aisyah, et al.2024 · 53 citations
  75. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
  76. Trial and Error: Exploration-Based Trajectory Optimization of LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Song, Da Yin, Xiang Yue, et al.2024 · 53 citations
  77. Evaluating the Capabilities of Large Language Models for Multi-label Emotion UnderstandingInternational Conference on Computational Linguistics (COLING)Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.2025 · 52 citations
  78. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
  79. Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger2024 · 52 citations
  80. Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling PerformancearXiv:2403.16952Jiasheng Ye, Peiju Liu, Tianxiang Sun, et al.2024 · 52 citations
  81. JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYiyang Ma, Xingchao Liu, Xiaokang Chen, et al.2024 · 52 citations
  82. LLM Internal States Reveal Hallucination Risk Faced With a QueryarXiv:2407.03282Ziwei Ji, Delong Chen, Etsuko Ishii, et al.2024 · 52 citations
  83. Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem ProvingConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Quan, Marco Valentino, Louise A. Dennis, et al.2024 · 52 citations
  84. PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise TrainingarXiv:2309.10400Dawei Zhu, Nan Yang, Liang Wang, et al.2023 · 52 citations
  85. Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionConference on Neural Information Processing Systems (NeurIPS)Zhiqing Sun, Longhui Yu, Yikang Shen, et al.2024 · 51 citations
  86. FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew Zhu, Alyssa Hwang, Liam Dugan, et al.2024 · 51 citations
  87. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
  88. LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning DatasetarXiv:2402.09391Botao Yu, Frazier N. Baker, Ziqi Chen, et al.2024 · 51 citations
  89. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement LearningarXiv:2410.02089Jonas Gehring, Kunhao Zheng, Jade Copet, et al.2024 · 51 citations
  90. BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous AgentsarXiv:2308.05960Zhiwei Liu, Weiran Yao, Jianguo Zhang, et al.2023 · 51 citations
  91. Fast Best-of-N Decoding via Speculative RejectionConference on Neural Information Processing Systems (NeurIPS)Hanshi Sun, Momin Haider, Ruiqi Zhang, et al.2024 · 50 citations
  92. How to Train Data-Efficient LLMsarXiv:2402.09668Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, et al.2024 · 50 citations
  93. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
  94. 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
  95. WebLINX: Real-World Website Navigation with Multi-Turn DialoguearXiv:2402.05930Xing Han Lu, Zden\vek Kasner, Siva Reddy2024 · 50 citations
  96. Zamba: A Compact 7B SSM Hybrid ModelarXiv:2405.16712Paolo Glorioso, Quentin Anthony, Yury Tokpanov, et al.2024 · 50 citations
  97. SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific GraphsarXiv:2308.03349Shengzhi Li, Nima Tajbakhsh2023 · 50 citations
  98. HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.2025 · 49 citations
  99. 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
  100. Word Embeddings Are Steers for Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chi Han, Jialiang Xu, Manling Li, et al.2024 · 49 citations

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