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Who cites Jekaterina Novikova

1,819 citations of their works from 1,757 papers of our library (of the 140,884 whose bibliographies we read) · 180 with a page here, the most cited first · page 2 of 2 · 101–180 · ← Jekaterina Novikova

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  1. SLURP: A Spoken Language Understanding Resource PackageEmanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, et al.2020 · 222 citations
  2. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  3. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
  4. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  5. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
  6. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  7. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
  8. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  9. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
  10. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  11. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationMojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 201 citations
  12. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  13. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  14. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
  15. Findings of the 2021 Conference on Machine Translation (WMT21)Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.2021 · 189 citations
  16. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  17. Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierJohn Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 180 citations
  18. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  19. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationShivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 179 citations
  20. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  21. LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 176 citations
  22. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
  23. Generating Sequences by Learning to Self-CorrectSean Welleck, Ximing Lu, Peter West, et al.2022 · 170 citations
  24. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  25. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  26. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  27. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
  28. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
  29. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  30. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsJustin Chen, Swarnadeep Saha, Mohit Bansal2024 · 154 citations
  31. DART: Open-Domain Structured Data Record to Text GenerationLinyong Nan, Dragomir Radev, Rui Zhang, et al.2020 · 154 citations
  32. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  33. Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
  34. GLUCOSE: GeneraLized and COntextualized Story ExplanationsNasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.2020 · 144 citations
  35. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationZhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 139 citations
  36. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
  37. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  38. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
  39. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
  40. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksYushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 130 citations
  41. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
  42. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  43. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
  44. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
  45. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  46. Evaluating the Performance of Large Language Models on GAOKAO BenchmarkXiaotian Zhang, Chunyang Li, Yi Zong, et al.2023 · 107 citations
  47. LENS: A Learnable Evaluation Metric for Text SimplificationMounica Maddela, Yao Dou, David Heineman, et al.2023 · 103 citations
  48. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  49. MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
  50. The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation ResultsSimon Mille, Anja Belz, Bernd Bohnet, et al.2018 · 86 citations
  51. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 84 citations
  52. Pragmatically Informative Text GenerationSheng Shen, Daniel Fried, Jacob Andreas, et al.2019 · 78 citations
  53. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  54. TellMeWhy: A Dataset for Answering Why-Questions in NarrativesYash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al.2021 · 53 citations
  55. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMRJuri Opitz, Anette Frank2021 · 50 citations
  56. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  57. Metaphor Understanding Challenge Dataset for LLMsXiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
  58. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  59. Language acquisition: do children and language models follow similar learning stages?Linnea Evanson, Yair Lakretz, Jean-Rémi King2023 · 33 citations
  60. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  61. Prediction of Arabic Legal Rulings using Large Language ModelsAdel Ammar, Anis Koubaa, Bilel Benjdira, et al.2023 · 27 citations
  62. The Quantization Model of Neural ScalingEric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 27 citations
  63. Underspecified Universal Dependency Structures as Inputs for Multilingual Surface RealisationSimon Mille, Anja Belz, Bernd Bohnet, et al.2018 · 26 citations
  64. A Human Evaluation of AMR-to-English Generation SystemsEmma Manning, Shira Wein, Nathan Schneider2020 · 24 citations
  65. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  66. Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.2023 · 18 citations
  67. Construction Grammar Provides Unique Insight into Neural Language ModelsLeonie Weissweiler, Taiqi He, Naoki Otani, et al.2023 · 18 citations
  68. Evaluating Text Generation from Discourse Representation StructuresChunliu Wang, Rik van Noord, Arianna Bisazza, et al.2021 · 14 citations
  69. Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachChuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
  70. An Error Analysis Framework for Shallow Surface RealizationAnastasia Shimorina, Yannick Parmentier, Claire Gardent2021 · 8 citations
  71. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationYiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation
  72. Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
  73. EduBench: A Portuguese Benchmark for Open-Ended Discursive Question AnsweringPedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.2026
  74. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsCharlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
  75. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsGyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
  76. Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingKatsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
  77. Sentiment Analysis and Language Models for KwanyamaNdapa Nakashole2026
  78. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026
  79. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsNikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  80. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024

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