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Who cites Tomáš Kočiský

5,266 citations of their works from 4,945 papers of our library (of the 140,884 whose bibliographies we read) · 412 with a page here, the most cited first · page 2 of 5 · 101–200 · ← Tomáš Kočiský

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  1. The Natural Language Decathlon: Multitask Learning as Question AnsweringBryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 523 citations
  2. Crowdsourcing Multiple Choice Science QuestionsJohannes Welbl, Nelson F. Liu, Matt Gardner2017 · 513 citations
  3. The LAMBADA dataset: Word prediction requiring a broad discourse contextDenis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.2016 · 506 citations
  4. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 505 citations
  5. Learning Natural Language Inference with LSTMShuohang Wang, Jing Jiang2016 · 491 citations
  6. Hierarchical Transformers for Multi-Document SummarizationYang Liu, Mirella Lapata2019 · 462 citations
  7. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsChaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 448 citations
  8. HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document SummarizationXingxing Zhang, Furu Wei, Ming Zhou2019 · 446 citations
  9. Neural Document Summarization by Jointly Learning to Score and Select SentencesQingyu Zhou, Nan Yang, Furu Wei, et al.2018 · 446 citations
  10. FinGPT: Open-Source Financial Large Language ModelsHongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  11. Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language InferenceTobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.2019 · 444 citations
  12. Pretrained Transformers Improve Out-of-Distribution RobustnessDan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 442 citations
  13. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
  14. LLaVA-OneVision: Easy Visual Task TransferBo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
  15. Measuring Coding Challenge Competence With APPSDan Hendrycks, Steven Basart, Saurav Kadavath, et al.2021 · 438 citations
  16. oLMpics — On what Language Model Pre-training CapturesAlon Talmor, Yanai Elazar, Yoav Goldberg, et al.2019 · 432 citations
  17. Deep Communicating Agents for Abstractive SummarizationAsli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.2018 · 431 citations
  18. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 427 citations
  19. Controllable Abstractive SummarizationAngela Fan, David Grangier, Michael Auli2018 · 423 citations
  20. Event Extraction as Machine Reading ComprehensionJian Liu, Yubo Chen, Kang Liu, et al.2020 · 420 citations
  21. Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality MetricsArtidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov2021 · 417 citations
  22. Pay Less Attention with Lightweight and Dynamic ConvolutionsFelix Wu, Angela Fan, Alexei Baevski, et al.2019 · 416 citations
  23. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  24. Abstractive Document Summarization with a Graph-Based Attentional Neural ModelJiwei Tan, Xiaojun Wan, Jianguo Xiao2017 · 407 citations
  25. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 406 citations
  26. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 403 citations
  27. Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question AnsweringShamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.2023 · 403 citations
  28. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  29. QMSum: A New Benchmark for Query-based Multi-domain Meeting SummarizationMing Zhong, Da Yin, Tao Yu, et al.2021 · 397 citations
  30. TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in FinanceFengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.2021 · 396 citations
  31. Long Range Arena: A Benchmark for Efficient TransformersYi Tay, Mostafa Dehghani, Samira Abnar, et al.2020 · 396 citations
  32. LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical ReasoningJian Liu, Leyang Cui, Hanmeng Liu, et al.2020 · 395 citations
  33. RULER: What's the Real Context Size of Your Long-Context Language Models?Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 386 citations
  34. CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 384 citations
  35. Discourse-Aware Neural Extractive Text SummarizationJiacheng Xu, Zhe Gan, Yu Cheng, et al.2019 · 382 citations
  36. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
  37. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading ComprehensionSheng Zhang, Xiaodong Liu, Jingjing Liu, et al.2018 · 379 citations
  38. Text Understanding with the Attention Sum Reader NetworkRudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.2016 · 379 citations
  39. A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersPradeep Dasigi, Kyle Lo, Iz Beltagy, et al.2021 · 372 citations
  40. Heterogeneous Graph Neural Networks for Extractive Document SummarizationDanqing Wang, Pengfei Liu, Yining Zheng, et al.2020 · 368 citations
  41. VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 367 citations
  42. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  43. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructHaipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 366 citations
  44. Identifying and Reducing Gender Bias in Word-Level Language ModelsShikha Bordia, Samuel R. Bowman2019 · 363 citations
  45. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryChris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 362 citations
  46. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 361 citations
  47. BRIO: Bringing Order to Abstractive SummarizationYixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 357 citations
  48. Question Answering on Freebase via Relation Extraction and Textual EvidenceKun Xu, Siva Reddy, Yansong Feng, et al.2016 · 357 citations
  49. SnapKV: LLM Knows What You are Looking for Before GenerationYuhong Li, Yingbing Huang, Bowen Yang, et al.2024 · 350 citations
  50. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationEsin Durmus, He He, Mona Diab2020 · 350 citations
  51. Graph-based Neural Multi-Document SummarizationMichihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.2017 · 346 citations
  52. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationYixin Liu, Pengfei Liu2021 · 340 citations
  53. Information-Theoretic Probing with Minimum Description LengthElena Voita, Ivan Titov2020 · 339 citations
  54. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
  55. DREAM: A Challenge Data Set and Models for Dialogue-Based Reading ComprehensionKai Sun, Dian Yu, Jianshu Chen, et al.2019 · 331 citations
  56. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 326 citations
  57. Compressive Transformers for Long-Range Sequence ModellingJack W. Rae, Anna Potapenko, Siddhant M. Jayakumar, et al.2019 · 320 citations
  58. GSum: A General Framework for Guided Neural Abstractive SummarizationZi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021 · 317 citations
  59. The Web as a Knowledge-Base for Answering Complex QuestionsAlon Talmor, Jonathan Berant2018 · 316 citations
  60. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionDongfu Jiang, Xiang Ren, Bill Yuchen Lin2023 · 314 citations
  61. Explainable Automated Fact-Checking for Public Health ClaimsNeema Kotonya, Francesca Toni2020 · 314 citations
  62. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
  63. Unsupervised Pretraining for Sequence to Sequence LearningPrajit Ramachandran, Peter Liu, Quoc Le2017 · 312 citations
  64. Multi-hop Reading Comprehension through Question Decomposition and RescoringSewon Min, Victor Zhong, Luke Zettlemoyer, et al.2019 · 306 citations
  65. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningBowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
  66. DialogSum: A Real-Life Scenario Dialogue Summarization DatasetYulong Chen, Yang Liu, Liang Chen, et al.2021 · 301 citations
  67. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferTu Vu, Brian Lester, Noah Constant, et al.2022 · 300 citations
  68. Muppet: Massive Multi-task Representations with Pre-FinetuningArmen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 299 citations
  69. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
  70. Multimodal Chain-of-Thought Reasoning in Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 296 citations
  71. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 288 citations
  72. emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsAnusri Pampari, Preethi Raghavan, Jennifer Liang, et al.2018 · 285 citations
  73. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningWeihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 283 citations
  74. Constructing Datasets for Multi-hop Reading Comprehension Across DocumentsJohannes Welbl, Pontus Stenetorp, Sebastian Riedel2018 · 283 citations
  75. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyJiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 281 citations
  76. Ranking Sentences for Extractive Summarization with Reinforcement LearningShashi Narayan, Shay B. Cohen, Mirella Lapata2018 · 279 citations
  77. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 276 citations
  78. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
  79. TRUE: Re-evaluating Factual Consistency EvaluationOr Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
  80. WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive SummarizationFaisal Ladhak, Esin Durmus, Claire Cardie, et al.2020 · 272 citations
  81. MiniCPM-V: A GPT-4V Level MLLM on Your PhoneYuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
  82. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsBernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
  83. Are We on the Right Way for Evaluating Large Vision-Language Models?Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
  84. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsIman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 262 citations
  85. TLDR: Extreme Summarization of Scientific DocumentsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 260 citations
  86. Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense KnowledgeTodor Mihaylov, Anette Frank2018 · 260 citations
  87. Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
  88. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
  89. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationShuyang Cao, Lu Wang2021 · 257 citations
  90. Automatic Text Scoring Using Neural NetworksDimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei2016 · 257 citations
  91. Re-evaluating Evaluation in Text SummarizationManik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 256 citations
  92. Multi-Reward Reinforced Summarization with Saliency and EntailmentRamakanth Pasunuru, Mohit Bansal2018 · 252 citations
  93. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  94. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
  95. Can You Unpack That? Learning to Rewrite Questions-in-ContextAhmed Elgohary, Denis Peskov, Jordan Boyd-Graber2019 · 244 citations
  96. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
  97. Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence LabelingXiaochuang Han, Jacob Eisenstein2019 · 242 citations
  98. ASQA: Factoid Questions Meet Long-Form AnswersIvan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.2022 · 239 citations
  99. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyZeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
  100. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations

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