Who cites Michael Matena
- Learning To Retrieve Prompts for In-Context LearningOhad Rubin, Jonathan Herzig, Jonathan Berant2021 · 717 citations
- Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 692 citations
- CORD-19: The COVID-19 Open Research DatasetLucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.2020 · 685 citations
- Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.2023 · 684 citations
- DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationYizhe Zhang, Siqi Sun, Michel Galley, et al.2019 · 684 citations
- Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 677 citations
- KILT: a Benchmark for Knowledge Intensive Language TasksFabio Petroni, Aleksandra Piktus, Angela Fan, et al.2020 · 663 citations
- K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020 · 662 citations
- CCNet: Extracting High Quality Monolingual Datasets from Web Crawl DataGuillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.2020 · 650 citations
- CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 646 citations
- LayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingYang Xu, Yiheng Xu, Tengchao Lv, et al.2021 · 623 citations
- BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
- Towards a Unified View of Parameter-Efficient Transfer LearningJunxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 604 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
- The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 590 citations
- Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsJianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.2021 · 582 citations
- AudioLM: a Language Modeling Approach to Audio GenerationZalan Borsos, Raphael Marinier, Damien Vincent, et al.2022 · 570 citations
- MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsLonghui Yu, Weisen Jiang, Han Shi, et al.2023 · 556 citations
- Document Ranking with a Pretrained Sequence-to-Sequence ModelRodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.2020 · 538 citations
- Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningArmen Aghajanyan, Sonal Gupta, Luke Zettlemoyer2021 · 530 citations
- Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
- Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
- LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 505 citations
- Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 505 citations
- Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 496 citations
- A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 490 citations
- ARBERT & MARBERT: Deep Bidirectional Transformers for ArabicMuhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi2021 · 478 citations
- Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 477 citations
- DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureEric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 474 citations
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeMitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 474 citations
- GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 474 citations
- Data Augmentation using Pre-trained Transformer ModelsVarun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 468 citations
- PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 467 citations
- P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.2021 · 464 citations
- Masked Autoencoders Are Scalable Vision LearnersKaiming He, Xinlei Chen, Saining Xie, et al.2021 · 463 citations
- SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionZirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 459 citations
- LinkBERT: Pretraining Language Models with Document LinksMichihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 452 citations
- OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 452 citations
- ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 451 citations
- Show your work: Scratchpads for intermediate computation with language models2021 · 448 citations
- Quality at a Glance: An Audit of Web-Crawled Multilingual DatasetsJulia Kreutzer, Isaac Caswell, Lisa Wang, et al.2021 · 447 citations
- How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsPhillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.2021 · 444 citations
- FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingChen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 443 citations
- MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkKunchang Li, Yali Wang, Yinan He, et al.2023 · 441 citations
- ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 441 citations
- GPT-NER: Named Entity Recognition via Large Language ModelsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
- The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
- Document-Level Event Argument Extraction by Conditional GenerationSha Li, Heng Ji, Jiawei Han2021 · 432 citations
- Security and Privacy Challenges of Large Language Models: A SurveyBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
- Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 421 citations
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 420 citations
- Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsJinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 419 citations
- ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 418 citations
- mPLUG-Owl: Modularization Empowers Large Language Models with MultimodalityQinghao Ye, Haiyang Xu, Guohai Xu, et al.2023 · 410 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 406 citations
- UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language ModelsTianbao Xie, Chen Henry Wu, Peng Shi, et al.2022 · 405 citations
- 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
- A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 399 citations
- LongT5: Efficient Text-To-Text Transformer for Long SequencesMandy Guo, Joshua Ainslie, David Uthus, et al.2022 · 398 citations
- Do Prompt-Based Models Really Understand the Meaning of Their Prompts?Albert Webson, Ellie Pavlick2022 · 396 citations
- A Unified Generative Framework for Aspect-based Sentiment AnalysisHang Yan, Junqi Dai, Tuo Ji, et al.2021 · 396 citations
- Long Range Arena: A Benchmark for Efficient TransformersYi Tay, Mostafa Dehghani, Samira Abnar, et al.2020 · 396 citations
- A Unified Generative Framework for Various NER SubtasksHang Yan, Tao Gui, Junqi Dai, et al.2021 · 392 citations
- Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 383 citations
- Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsNing Ding, Yulin Chen, Bokai Xu, et al.2023 · 382 citations
- Retrieval Augmentation Reduces Hallucination in ConversationKurt Shuster, Spencer Poff, Moya Chen, et al.2021 · 382 citations
- Discourse-Aware Neural Extractive Text SummarizationJiacheng Xu, Zhe Gan, Yu Cheng, et al.2019 · 382 citations
- A Survey on Model Compression for Large Language ModelsXunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
- Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexitySoyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 381 citations
- UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingHangbo Bao, Li Dong, Furu Wei, et al.2020 · 380 citations
- ETC: Encoding Long and Structured Inputs in TransformersJoshua Ainslie, Santiago Ontañón, Chris Alberti, et al.2020 · 377 citations
- Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 376 citations
- Editing Models with Task ArithmeticGabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 374 citations
- FastBERT: a Self-distilling BERT with Adaptive Inference TimeWeijie Liu, Peng Zhou, Zhiruo Wang, et al.2020 · 374 citations
- CogVLM: Visual Expert for Pretrained Language ModelsWeihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 373 citations
- A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersPradeep Dasigi, Kyle Lo, Iz Beltagy, et al.2021 · 372 citations
- Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event ExtractionYaojie Lu, Hongyu Lin, Jin Xu, et al.2021 · 370 citations
- VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 367 citations
- A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
- Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 362 citations
- Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationShengding Hu, Ning Ding, Huadong Wang, et al.2022 · 360 citations
- TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueChien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.2020 · 360 citations
- Datasets: A Community Library for Natural Language ProcessingQuentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.2021 · 358 citations
- BRIO: Bringing Order to Abstractive SummarizationYixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 357 citations
- Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 356 citations
- Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferenceBenjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 355 citations
- Parameter-Efficient Transfer Learning with Diff PruningDemi Guo, Alexander Rush, Yoon Kim2021 · 355 citations
- QuestEval: Summarization Asks for Fact-based EvaluationThomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 353 citations
- Large Language Models Struggle to Learn Long-Tail KnowledgeNikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022 · 352 citations
- RARR: Researching and Revising What Language Models Say, Using Language ModelsLuyu Gao, Zhuyun Dai, Panupong Pasupat, et al.2023 · 351 citations
- VideoChat: Chat-Centric Video UnderstandingKunChang Li, Yinan He, Yi Wang, et al.2023 · 351 citations
- Internet-Augmented Dialogue GenerationMojtaba Komeili, Kurt Shuster, Jason Weston2022 · 349 citations
- Reformulating Unsupervised Style Transfer as Paraphrase GenerationKalpesh Krishna, John Wieting, Mohit Iyyer2020 · 348 citations
- RobBERT: a Dutch RoBERTa-based Language ModelPieter Delobelle, Thomas Winters, Bettina Berendt2020 · 346 citations
- Teaching Small Language Models to ReasonLucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 340 citations
- PaLI: A Jointly-Scaled Multilingual Language-Image ModelXi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 339 citations
- Large Language Models for Information Retrieval: A SurveyYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 335 citations
- UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
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