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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 8 of 16 · 701–800 · ← Nikolay Bashlykov

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  1. Agent Lumos: Unified and Modular Training for Open-Source Language AgentsarXiv:2311.05657Da Yin, Faeze Brahman, Abhilasha Ravichander, et al.2023 · 49 citations
  2. MathPile: A Billion-Token-Scale Pretraining Corpus for MathConference on Neural Information Processing Systems (NeurIPS)Zengzhi Wang, Xuefeng Li, Rui Xia, et al.2023 · 49 citations
  3. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  4. Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language ModelsarXiv:2406.02061Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, et al.2024 · 48 citations
  5. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
  6. Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Alex Wilf, Sihyun Lee, Paul Pu Liang, et al.2024 · 48 citations
  7. Plug-and-Play Policy Planner for Large Language Model Powered Dialogue AgentsarXiv:2311.00262Yang Deng, Wenxuan Zhang, Wai Lam, et al.2023 · 48 citations
  8. Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Taiqiang Wu, Chaofan Tao, Jiahao Wang, et al.2025 · 47 citations
  9. Unfamiliar Finetuning Examples Control How Language Models HallucinateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Katie Kang, Eric Wallace, Claire Tomlin, et al.2025 · 47 citations
  10. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
  11. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  12. Long Context Compression with Activation BeaconarXiv:2401.03462Peitian Zhang, Zheng Liu, Shitao Xiao, et al.2024 · 47 citations
  13. Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive DecodingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi2024 · 47 citations
  14. JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language ModelsarXiv:2311.05997Zihao Wang, Shaofei Cai, Anji Liu, et al.2023 · 47 citations
  15. ARGS: Alignment as Reward-Guided SearcharXiv:2402.01694Maxim Khanov, Jirayu Burapacheep, Yixuan Li2024 · 46 citations
  16. Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMsTransactions of the Association for Computational Linguistics (TACL)Tanise Ceron, Neele Falk, Ana Barić, et al.2024 · 46 citations
  17. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  18. MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math DataScientific DataMeng Fang, Xiangpeng Wan, Fei Lu, et al.2024 · 46 citations
  19. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationarXiv:2403.05313Zihao Wang, Anji Liu, Haowei Lin, et al.2024 · 46 citations
  20. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  21. SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.2024 · 46 citations
  22. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  23. Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decodingarXiv:2309.15028Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al.2023 · 46 citations
  24. Disentangling Memory and Reasoning Ability in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Jin, Weidi Luo, Sitao Cheng, et al.2025 · 45 citations
  25. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  26. ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate ChangearXiv:2401.09646David Thulke, Yingbo Gao, Petrus Pelser, et al.2024 · 45 citations
  27. Cross-Lingual Knowledge Editing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaan Wang, Yunlong Liang, Zengkui Sun, et al.2024 · 45 citations
  28. GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local RefinementsarXiv:2402.10963Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.2024 · 45 citations
  29. Key-Point-Driven Data Synthesis with its Enhancement on Mathematical ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYiming Huang, Xiao Liu, Yeyun Gong, et al.2024 · 45 citations
  30. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingarXiv:2405.12205Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.2024 · 45 citations
  31. TinyGSM: achieving >80% on GSM8k with small language modelsarXiv:2312.09241Bingbin Liu, Sebastien Bubeck, Ronen Eldan, et al.2023 · 45 citations
  32. Understanding Catastrophic Forgetting in Language Models via Implicit InferencearXiv:2309.10105Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan2023 · 45 citations
  33. Learning to Reason without External RewardsarXiv:2505.19590Xuandong Zhao, Zhewei Kang, Aosong Feng, et al.2025 · 44 citations
  34. Augmenting Math Word Problems via Iterative Question ComposingProceedings of the AAAI Conference on Artificial IntelligenceHaoxiong Liu, Yifan Zhang, Yifan Luo, et al.2024 · 44 citations
  35. Direct Nash Optimization: Teaching Language Models to Self-Improve with General PreferencesarXiv:2404.03715Corby Rosset, Ching-An Cheng, Arindam Mitra, et al.2024 · 44 citations
  36. DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?arXiv:2409.07703Liqiang Jing, Zhehui Huang, Xiaoyang Wang, et al.2024 · 44 citations
  37. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  38. LLM Pruning and Distillation in Practice: The Minitron ApproacharXiv:2408.11796Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.2024 · 44 citations
  39. Long-Context Language Modeling with Parallel Context EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Howard Yen, Tianyu Gao, Danqi Chen2024 · 44 citations
  40. MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model SeriesarXiv:2405.19327Ge Zhang, Scott Qu, Jiaheng Liu, et al.2024 · 44 citations
  41. MMToM-QA: Multimodal Theory of Mind Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanyang Jin, Yutong Wu, Jing Cao, et al.2024 · 44 citations
  42. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  43. Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningConference on Neural Information Processing Systems (NeurIPS)Xiaoming Shi, Siqiao Xue, Kangrui Wang, et al.2023 · 44 citations
  44. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingarXiv:2502.00212Kefan Dong, Tengyu Ma2025 · 43 citations
  45. Information Flow Routes: Automatically Interpreting Language Models at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Javier Ferrando, Elena Voita2024 · 43 citations
  46. MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models AgentsarXiv:2408.14033Ruochen Li, Teerth Patel, Qingyun Wang, et al.2024 · 43 citations
  47. MuggleMath: Assessing the Impact of Query and Response Augmentation on Math ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chengpeng Li, Zheng Yuan, Hongyi Yuan, et al.2024 · 43 citations
  48. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process SupervisionFindings of the Association for Computational LinguisticsZihan Wang, Yunxuan Li, Yuexin Wu, et al.2024 · 43 citations
  49. STaR-GATE: Teaching Language Models to Ask Clarifying QuestionsarXiv:2403.19154Chinmaya Andukuri, Jan-Philipp Fränken, Tobias Gerstenberg, et al.2024 · 43 citations
  50. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
  51. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
  52. Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Sander Land, Max Bartolo2024 · 42 citations
  53. Programming Refusal with Conditional Activation SteeringarXiv:2409.05907Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, et al.2024 · 42 citations
  54. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language ModelsarXiv:2404.12387Reka Team: Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, et al.2024 · 42 citations
  55. SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language ModelsarXiv:2311.08370Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, et al.2023 · 42 citations
  56. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingarXiv:2502.06703Runze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  57. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
  58. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story EvaluationTransactions of the Association for Computational Linguistics (TACL)Cyril Chhun, Fabian M. Suchanek, Chloé Clavel2024 · 41 citations
  59. LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256KarXiv:2402.05136Tao Yuan, Xuefei Ning, Dong Zhou, et al.2024 · 41 citations
  60. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model CollaborationarXiv:2310.00280Qiushi Sun, Zhangyue Yin, Xiang Li, et al.2023 · 41 citations
  61. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
  62. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Orion Weller, Benjamin Chang, Sean MacAvaney, et al.2025 · 40 citations
  63. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsarXiv:2404.02823Haoran Sun, Lixin Liu, Junjie Li, et al.2024 · 40 citations
  64. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  65. Personalized Pieces: Efficient Personalized Large Language Models through Collaborative EffortsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Zheyuan Liu, Meng Jiang2024 · 40 citations
  66. Let's reward step by step: Step-Level reward model as the Navigators for ReasoningarXiv:2310.10080Qianli Ma, Haotian Zhou, Tingkai Liu, et al.2023 · 40 citations
  67. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
  68. AgentRxiv: Towards Collaborative Autonomous ResearcharXiv:2503.18102Samuel Schmidgall, Michael Moor2025 · 39 citations
  69. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
  70. Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
  71. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  72. Learning to Edit: Aligning LLMs with Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.2024 · 39 citations
  73. The pitfalls of next-token predictionarXiv:2403.06963Gregor Bachmann, Vaishnavh Nagarajan2024 · 39 citations
  74. Unveiling Linguistic Regions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhang, Jun Zhao, Qi Zhang, et al.2024 · 39 citations
  75. Successor Heads: Recurring, Interpretable Attention Heads In The WildarXiv:2312.09230Rhys Gould, Euan Ong, George Ogden, et al.2023 · 39 citations
  76. InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug DiscoveryInternational Conference on Computational Linguistics (COLING)He Cao, Zijing Liu, Xingyu Lu, et al.2025 · 38 citations
  77. Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and SundaneseConference on Empirical Methods in Natural Language Processing (EMNLP)Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, et al.2024 · 38 citations
  78. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  79. ODIN: Disentangled Reward Mitigates Hacking in RLHFarXiv:2402.07319Lichang Chen, Chen Zhu, Davit Soselia, et al.2024 · 38 citations
  80. AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward ModelingFindings of the Association for Computational LinguisticsZihan Liu, Yang Chen, Mohammad Shoeybi, et al.2025 · 37 citations
  81. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenglei Si, Yanzhe Zhang, Ryan Li, et al.2025 · 37 citations
  82. MiMo: Unlocking the Reasoning Potential of Language Model — From Pretraining to PosttrainingarXiv:2505.07608LLM-Core Xiaomi, Bingquan Xia, Bowen Shen, et al.2025 · 37 citations
  83. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?Annual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Fei Sun, Wanli Yang, et al.2024 · 37 citations
  84. SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoningarXiv:2409.05556Alireza Ghafarollahi, Markus J. Buehler2024 · 37 citations
  85. Multilingual Mathematical AutoformalizationarXiv:2311.03755Albert Q. Jiang, Wenda Li, Mateja Jamnik2023 · 37 citations
  86. DeAL: Decoding-time Alignment for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)James Y. Huang, Sailik Sengupta, Daniele Bonadiman, et al.2025 · 36 citations
  87. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
  88. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement LearningarXiv:2402.05808Zhiheng Xi, Wenxiang Chen, Boyang Hong, et al.2024 · 36 citations
  89. Transformers Can Do Arithmetic with the Right EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Sean McLeish, Arpit Bansal, Alex Stein, et al.2024 · 36 citations
  90. An Emulator for Fine-Tuning Large Language Models using Small Language ModelsarXiv:2310.12962Eric Mitchell, Rafael Rafailov, Archit Sharma, et al.2023 · 36 citations
  91. MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationarXiv:2312.17080Zhongshen Zeng, Pengguang Chen, Shu Liu, et al.2023 · 36 citations
  92. LAiW: A Chinese Legal Large Language Models BenchmarkInternational Conference on Computational Linguistics (COLING)Yongfu Dai, Duanyu Feng, Jimin Huang, et al.2025 · 35 citations
  93. ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world ScenariosInternational Conference on Computational Linguistics (COLING)Junjie Ye, Guanyu Li, SongYang Gao, et al.2025 · 35 citations
  94. Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning GaparXiv:2402.19450Saurabh Srivastava, Annarose M B, Anto P, et al.2024 · 35 citations
  95. MambaByte: Token-free Selective State Space ModelarXiv:2401.13660Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al.2024 · 35 citations
  96. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  97. Self-Refine Instruction-Tuning for Aligning Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Ranaldi, Andre Freitas2024 · 35 citations
  98. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsarXiv:2402.12030 · Transactions on Machine Learning Research, January 2025Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 35 citations
  99. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
  100. CompAct: Compressing Retrieved Documents Actively for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.2024 · 34 citations

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