Who cites Illia Polosukhin
- It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021 · 1,118 citations
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
- Training Compute-Optimal Large Language ModelsJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al.2022 · 1,110 citations
- MASS: Masked Sequence to Sequence Pre-training for Language GenerationKaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,109 citations
- RoFormer: Enhanced Transformer with Rotary Position EmbeddingJianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 1,072 citations
- Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking DatasetsYifan Peng, Shankai Yan, Zhiyong Lu2019 · 1,070 citations
- Quantifying Attention Flow in TransformersSamira Abnar, Willem Zuidema2020 · 1,049 citations
- MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,021 citations
- A Discourse-Aware Attention Model for Abstractive Summarization of Long DocumentsArman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.2018 · 1,018 citations
- Linguistic Knowledge and Transferability of Contextual RepresentationsNelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,011 citations
- VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsWeijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,008 citations
- K-BERT: Enabling Language Representation with Knowledge GraphWeijie Liu, Peng Zhou, Zhe Zhao, et al.2019 · 1,006 citations
- Attention is not ExplanationSarthak Jain, Byron C. Wallace2019 · 997 citations
- Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 992 citations
- ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingYu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 976 citations
- PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 971 citations
- GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 964 citations
- Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
- ERNIE: Enhanced Representation through Knowledge IntegrationYu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 949 citations
- AdapterFusion: Non-Destructive Task Composition for Transfer LearningJonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.2020 · 948 citations
- MPNet: Masked and Permuted Pre-training for Language UnderstandingKaitao Song, Xu Tan, Tao Qin, et al.2020 · 944 citations
- ImageBind: One Embedding Space To Bind Them AllRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 943 citations
- Patient Knowledge Distillation for BERT Model CompressionSiqi Sun, Yu Cheng, Zhe Gan, et al.2019 · 939 citations
- Bottom-Up Abstractive SummarizationSebastian Gehrmann, Yuntian Deng, Alexander Rush2018 · 939 citations
- 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
- Extracting Training Data from Large Language ModelsNicholas Carlini, Florian Tramer, Eric Wallace, et al.2020 · 901 citations
- Is Attention Interpretable?Sofia Serrano, Noah A. Smith2019 · 885 citations
- Are NLP Models really able to Solve Simple Math Word Problems?Arkil Patel, Satwik Bhattamishra, Navin Goyal2021 · 882 citations
- Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesMichael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 873 citations
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 865 citations
- ChatGPT: Jack of all trades, master of noneJan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.2023 · 863 citations
- UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 843 citations
- Findings of the 2019 Conference on Machine Translation (WMT19)Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.2019 · 839 citations
- MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferJonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.2020 · 831 citations
- On the Sentence Embeddings from Pre-trained Language ModelsBohan Li, Hao Zhou, Junxian He, et al.2020 · 830 citations
- Unsupervised Dense Information Retrieval with Contrastive LearningGautier Izacard, Mathilde Caron, Lucas Hosseini, et al.2021 · 824 citations
- DocVQA: A Dataset for VQA on Document ImagesMinesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 820 citations
- Scaling Neural Machine TranslationMyle Ott, Sergey Edunov, David Grangier, et al.2018 · 813 citations
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
- XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 799 citations
- Achieving Human Parity on Automatic Chinese to English News TranslationHany Hassan, Anthony Aue, Chang Chen, et al.2018 · 794 citations
- Revisiting Pre-Trained Models for Chinese Natural Language ProcessingYiming Cui, Wanxiang Che, Ting Liu, et al.2020 · 788 citations
- ClinicalBERT: Modeling Clinical Notes and Predicting Hospital ReadmissionKexin Huang, Jaan Altosaar, Rajesh Ranganath2019 · 788 citations
- GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
- LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingYupan Huang, Tengchao Lv, Lei Cui, et al.2022 · 774 citations
- Reformer: The Efficient TransformerNikita Kitaev, Łukasz Kaiser, Anselm Levskaya2020 · 774 citations
- Non-Autoregressive Neural Machine TranslationJiatao Gu, James Bradbury, Caiming Xiong, et al.2017 · 765 citations
- ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionWonjae Kim, Bokyung Son, Ildoo Kim2021 · 762 citations
- Constituency Parsing with a Self-Attentive EncoderNikita Kitaev, Dan Klein2018 · 759 citations
- AdapterHub: A Framework for Adapting TransformersJonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.2020 · 747 citations
- Findings of the 2018 Conference on Machine Translation (WMT18)Ondřej Bojar, Christian Federmann, Mark Fishel, et al.2018 · 747 citations
- Unified Pre-training for Program Understanding and GenerationWasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 746 citations
- ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 744 citations
- Integrating Multimodal Information in Large Pretrained TransformersWasifur Rahman, Md Kamrul Hasan, Sangwu Lee, et al.2020 · 742 citations
- Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical ModelAlexander Fabbri, Irene Li, Tianwei She, et al.2019 · 738 citations
- Revealing the Dark Secrets of BERTOlga Kovaleva, Alexey Romanov, Anna Rogers, et al.2019 · 737 citations
- Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
- MLQA: Evaluating Cross-lingual Extractive Question AnsweringPatrick Lewis, Barlas Oğuz, Ruty Rinott, et al.2019 · 735 citations
- A Novel Cascade Binary Tagging Framework for Relational Triple ExtractionZhepei Wei, Jianlin Su, Yue Wang, et al.2020 · 732 citations
- Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsPhilippe Tillet, H. T. Kung, David Cox2019 · 728 citations
- SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
- A Multiscale Visualization of Attention in the Transformer ModelJesse Vig2019 · 708 citations
- Capabilities of GPT-4 on Medical Challenge ProblemsHarsha Nori, Nicholas King, Scott Mayer McKinney, et al.2023 · 700 citations
- Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
- SPECTER: Document-level Representation Learning using Citation-informed TransformersArman Cohan, Sergey Feldman, Iz Beltagy, et al.2020 · 690 citations
- TaBERT: Pretraining for Joint Understanding of Textual and Tabular DataPengcheng Yin, Graham Neubig, Wen-tau Yih, et al.2020 · 690 citations
- Explain Yourself! Leveraging Language Models for Commonsense ReasoningNazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al.2019 · 690 citations
- DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationYizhe Zhang, Siqi Sun, Michel Galley, et al.2019 · 684 citations
- ELI5: Long Form Question AnsweringAngela Fan, Yacine Jernite, Ethan Perez, et al.2019 · 682 citations
- Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalLee Xiong, Chenyan Xiong, Ye Li, et al.2020 · 681 citations
- Social Bias Frames: Reasoning about Social and Power Implications of LanguageMaarten Sap, Saadia Gabriel, Lianhui Qin, et al.2020 · 680 citations
- Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 677 citations
- Mask-Predict: Parallel Decoding of Conditional Masked Language ModelsMarjan Ghazvininejad, Omer Levy, Yinhan Liu, et al.2019 · 671 citations
- Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsIulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 671 citations
- KILT: a Benchmark for Knowledge Intensive Language TasksFabio Petroni, Aleksandra Piktus, Angela Fan, et al.2020 · 663 citations
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionAkari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 662 citations
- K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020 · 662 citations
- Similarity of Neural Network Representations RevisitedSimon Kornblith, Mohammad Norouzi, Honglak Lee, et al.2019 · 661 citations
- Efficient Content-Based Sparse Attention with Routing TransformersAurko Roy, Mohammad Saffar, Ashish Vaswani, et al.2020 · 660 citations
- CCNet: Extracting High Quality Monolingual Datasets from Web Crawl DataGuillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.2020 · 650 citations
- CodeSearchNet Challenge: Evaluating the State of Semantic Code SearchHamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.2020 · 647 citations
- CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 646 citations
- Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023 · 632 citations
- Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondMikel Artetxe, Holger Schwenk2018 · 627 citations
- BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
- Role-Play with Large Language ModelsMurray Shanahan, Kyle McDonell, Laria Reynolds2023 · 606 citations
- Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 604 citations
- Event Extraction by Answering (Almost) Natural QuestionsXinya Du, Claire Cardie2020 · 602 citations
- RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question AnsweringYingqi Qu, Yuchen Ding, Jing Liu, et al.2021 · 601 citations
- Linguistically-Informed Self-Attention for Semantic Role LabelingEmma Strubell, Patrick Verga, Daniel Andor, et al.2018 · 598 citations
- Attention Guided Graph Convolutional Networks for Relation ExtractionZhijiang Guo, Yan Zhang, Wei Lu2019 · 597 citations
- 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
- Text Embeddings by Weakly-Supervised Contrastive Pre-trainingLiang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 594 citations
- FNet: Mixing Tokens with Fourier TransformsJames Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.2022 · 593 citations
- Dissecting Contextual Word Embeddings: Architecture and RepresentationMatthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.2018 · 585 citations
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationQingyun Wu, Gagan Bansal, Jieyu Zhang, et al.2023 · 584 citations
- PAWS: Paraphrase Adversaries from Word ScramblingYuan Zhang, Jason Baldridge, Luheng He2019 · 584 citations
- Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 582 citations
- What do you learn from context? Probing for sentence structure in contextualized word representationsIan Tenney, Patrick Xia, Berlin Chen, et al.2019 · 582 citations
- QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionAdams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 581 citations
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