🧑‍🔬 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 1 of 5 · 1–100 · ← Tomáš Kočiský

1 2 … 5 next →

1. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionMike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,752 citations
2. Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 10,782 citations
3. SQuAD: 100,000+ Questions for Machine Comprehension of TextPranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.2016 · 9,488 citations
4. Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,295 citations
5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerColin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 7,433 citations
6. Hierarchical Attention Networks for Document ClassificationZichao Yang, Diyi Yang, Chris Dyer, et al.2016 · 5,409 citations
7. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,375 citations
8. Natural Questions: A Benchmark for Question Answering ResearchTom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al.2019 · 4,031 citations
9. fairseq: A Fast, Extensible Toolkit for Sequence ModelingMyle Ott, Sergey Edunov, Alexei Baevski, et al.2019 · 3,941 citations
10. Know What You Don't Know: Unanswerable Questions for SQuADPranav Rajpurkar, Robin Jia, Percy Liang2018 · 3,360 citations
11. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
12. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading ComprehensionMandar Joshi, Eunsol Choi, Daniel Weld, et al.2017 · 3,204 citations
13. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
14. Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,951 citations
15. Attention-based LSTM for Aspect-level Sentiment ClassificationYequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2,609 citations
16. Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,529 citations
17. Reading Wikipedia to Answer Open-Domain QuestionsDanqi Chen, Adam Fisch, Jason Weston, et al.2017 · 2,250 citations
18. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationPeng Zhou, Wei Shi, Jun Tian, et al.2016 · 2,216 citations
19. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsZhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
20. Bidirectional Attention Flow for Machine ComprehensionMinjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,956 citations
21. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationJingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,806 citations
22. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
23. Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringGautier Izacard, Edouard Grave2021 · 1,674 citations
24. Pointer Sentinel Mixture ModelsStephen Merity, Caiming Xiong, James Bradbury, et al.2016 · 1,669 citations
25. Retrieval-Augmented Generation for Large Language Models: A SurveyYunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,647 citations
26. A Deep Reinforced Model for Abstractive SummarizationRomain Paulus, Caiming Xiong, Richard Socher2017 · 1,626 citations
27. RACE: Large-scale ReAding Comprehension Dataset From ExaminationsGuokun Lai, Qizhe Xie, Hanxiao Liu, et al.2017 · 1,619 citations
28. Layer NormalizationJimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton2016 · 1,587 citations
29. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskTao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,582 citations
30. Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,577 citations
31. SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of DocumentsRamesh Nallapati, Feifei Zhai, Bowen Zhou2016 · 1,566 citations
32. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextGemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
33. Unified Language Model Pre-training for Natural Language Understanding and GenerationLi Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,389 citations
34. Long Short-Term Memory-Networks for Machine ReadingJianpeng Cheng, Li Dong, Mirella Lapata2016 · 1,300 citations
35. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
36. CTRL: A Conditional Transformer Language Model for Controllable GenerationNitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019 · 1,273 citations
37. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
38. DailyDialog: A Manually Labelled Multi-turn Dialogue DatasetYanran Li, Hui Su, Xiaoyu Shen, et al.2017 · 1,195 citations
39. On the Cross-lingual Transferability of Monolingual RepresentationsMikel Artetxe, Sebastian Ruder, Dani Yogatama2020 · 1,168 citations
40. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
41. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
42. MS MARCO: A Human Generated MAchine Reading COmprehension DatasetPayal Bajaj, Daniel Campos, Nick Craswell, et al.2016 · 1,103 citations
43. QuAC: Question Answering in ContextEunsol Choi, He He, Mohit Iyyer, et al.2018 · 1,057 citations
44. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,026 citations
45. A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsArman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.2018 · 1,018 citations
46. Neural Summarization by Extracting Sentences and WordsJianpeng Cheng, Mirella Lapata2016 · 1,000 citations
47. Attention is not ExplanationSarthak Jain, Byron C. Wallace2019 · 997 citations
48. Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 992 citations
49. Qwen2.5-VL Technical ReportShuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 948 citations
50. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 948 citations
51. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over ParagraphsDheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.2019 · 941 citations
52. Bottom-Up Abstractive SummarizationSebastian Gehrmann, Yuntian Deng, Alexander Rush2018 · 939 citations
53. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsYiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 936 citations
54. A Survey of Data Augmentation Approaches for NLPSteven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 935 citations
55. Learning to Ask: Neural Question Generation for Reading ComprehensionXinya Du, Junru Shao, Claire Cardie2017 · 913 citations
56. MMBench: Is Your Multi-modal Model an All-around Player?Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 907 citations
57. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesGheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 906 citations
58. Is Attention Interpretable?Sofia Serrano, Noah A. Smith2019 · 885 citations
59. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 866 citations
60. UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 843 citations
61. MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceWei Zhao, Maxime Peyrard, Fei Liu, et al.2019 · 822 citations
62. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionPeng Wang, Shuai Bai, Sinan Tan, et al.2024 · 819 citations
63. Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingYen-Chun Chen, Mohit Bansal2018 · 819 citations
64. BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021 · 806 citations
65. Calibrate Before Use: Improving Few-Shot Performance of Language ModelsTony Z. Zhao, Eric Wallace, Shi Feng, et al.2021 · 791 citations
66. Reasoning about Entailment with Neural AttentionTim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 782 citations
67. Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive StrategiesMax Grusky, Mor Naaman, Yoav Artzi2018 · 778 citations
68. Ask Me Anything: Dynamic Memory Networks for Natural Language ProcessingAnkit Kumar, Ozan Irsoy, Peter Ondruska, et al.2015 · 775 citations
69. Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelAlexander Fabbri, Irene Li, Tianwei She, et al.2019 · 738 citations
70. MLQA: Evaluating Cross-lingual Extractive Question AnsweringPatrick Lewis, Barlas Oğuz, Ruty Rinott, et al.2019 · 735 citations
71. Dice Loss for Data-imbalanced NLP TasksXiaoya Li, Xiaofei Sun, Yuxian Meng, et al.2020 · 734 citations
72. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
73. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
74. The Goldilocks Principle: Reading Children's Books with Explicit Memory RepresentationsFelix Hill, Antoine Bordes, Sumit Chopra, et al.2015 · 693 citations
75. A Thorough Examination of the CNN/Daily Mail Reading Comprehension TaskDanqi Chen, Jason Bolton, Christopher D. Manning2016 · 689 citations
76. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsTeam GLM, Aohan Zeng, Bin Xu, et al.2024 · 687 citations
77. ELI5: Long Form Question AnsweringAngela Fan, Yacine Jernite, Ethan Perez, et al.2019 · 682 citations
78. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple SentencesDaniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.2018 · 669 citations
79. TVQA: Localized, Compositional Video Question AnsweringJie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 669 citations
80. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
81. Pointing the Unknown WordsCaglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.2016 · 642 citations
82. Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelShaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 595 citations
83. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionAdams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 581 citations
84. Dynamic Coattention Networks For Question AnsweringCaiming Xiong, Victor Zhong, Richard Socher2016 · 578 citations
85. Extractive Summarization as Text MatchingMing Zhong, Pengfei Liu, Yiran Chen, et al.2020 · 567 citations
86. Sentence Simplification with Deep Reinforcement LearningXingxing Zhang, Mirella Lapata2017 · 567 citations
87. Leveraging Pre-trained Checkpoints for Sequence Generation TasksSascha Rothe, Shashi Narayan, Aliaksei Severyn2019 · 562 citations
88. Simple and Effective Multi-Paragraph Reading ComprehensionChristopher Clark, Matt Gardner2017 · 556 citations
89. Neural Text Summarization: A Critical EvaluationWojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 555 citations
90. Learning to Compose Neural Networks for Question AnsweringJacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.2016 · 547 citations
91. Reducing Transformer Depth on Demand with Structured DropoutAngela Fan, Edouard Grave, Armand Joulin2019 · 546 citations
92. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisHu Xu, Bing Liu, Lei Shu, et al.2019 · 544 citations
93. SearchQA: A New Q&A Dataset Augmented with Context from a Search EngineMatthew Dunn, Levent Sagun, Mike Higgins, et al.2017 · 543 citations
94. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
95. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense ReasoningLifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.2019 · 536 citations
96. Jailbreaking Black Box Large Language Models in Twenty QueriesPatrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 533 citations
97. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
98. Towards AI-Complete Question Answering: A Set of Prerequisite Toy TasksJason Weston, Antoine Bordes, Sumit Chopra, et al.2015 · 529 citations
99. Machine Comprehension Using Match-LSTM and Answer PointerShuohang Wang, Jing Jiang2016 · 528 citations
100. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersCharlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 524 citations

1 2 … 5 next →

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/tomas-kocisky/cited-by/