---
title: "Who cites Attention Is All You Need — page 6"
description: "16,413 papers of the Elamur Research library cite «Attention Is All You Need», found in their bibliographies · page 6 of 10 · 501–600; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/6/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/6/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Attention Is All You Need](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/) / [cited by](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/) / page 6

# Who cites «Attention Is All You Need»

16,413 papers of our library cite it (of the 140,884 whose bibliographies we read) · 993 with a page here, the most cited first · page 6 of 10 · 501–600 · [← the paper](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/)

[← prev](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/5/) [1](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/) … [5](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/5/) **6** [7](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/7/) … [10](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/10/) [next →](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/7/)

501. [**Generating Training Data with Language Models: Towards Zero-Shot Language Understanding**Yu Meng, Jiaxin Huang, Yu Zhang, et al.*2022 · 206 citations*](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/)
502. [**Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association**Nan Xu, Zhixiong Zeng, Wenji Mao*2020 · 206 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/)
503. [**Entities as Experts: Sparse Memory Access with Entity Supervision**Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.*2020 · 205 citations*](https://md.research.elamur.ai/free/en/papers/fevry-2020-entities-as-experts-sparse-memory/)
504. [**Entity-level Factual Consistency of Abstractive Text Summarization**Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/)
505. [**On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation**Ruidan He, Linlin Liu, Hai Ye, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/)
506. [**On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation**Chaojun Wang, Rico Sennrich*2020 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-exposure-bias-hallucination-domain-shift/)
507. [**mGPT: Few-Shot Learners Go Multilingual**Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.*2022 · 203 citations*](https://md.research.elamur.ai/free/en/papers/shliazhko-2022-mgpt-few-shot-learners-go/)
508. [**Contextualizing Hate Speech Classifiers with Post-hoc Explanation**Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.*2020 · 203 citations*](https://md.research.elamur.ai/free/en/papers/kennedy-2020-contextualizing-hate-speech-classifiers-post/)
509. [**SALMONN: Towards Generic Hearing Abilities for Large Language Models**Changli Tang, Wenyi Yu, Guangzhi Sun, et al.*2023 · 202 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-salmonn-towards-generic-hearing-abilities/)
510. [**Autoformalization with Large Language Models**Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.*2022 · 202 citations*](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)
511. [**An Effective Approach to Unsupervised Machine Translation**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2019 · 202 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2019-effective-approach-unsupervised-machine-translation/)
512. [**AraT5: Text-to-Text Transformers for Arabic Language Generation**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 201 citations*](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/)
513. [**Recursively Summarizing Books with Human Feedback**Jeff Wu, Long Ouyang, Daniel M. Ziegler, et al.*2021 · 201 citations*](https://md.research.elamur.ai/free/en/papers/wu-2021-recursively-summarizing-books-human-feedback/)
514. [**IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages**Jay Gala, Pranjal A. Chitale, Raghavan AK, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/gala-2023-indictrans2-towards-high-quality-accessible/)
515. [**Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora**Marcin Junczys-Dowmunt*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/)
516. [**End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification**Jindřich Libovický, Jindřich Helcl*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/)
517. [**CTRLsum: Towards Generic Controllable Text Summarization**Junxian He, Wojciech Kryscinski, Bryan McCann, et al.*2022 · 199 citations*](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/)
518. [**Jointly Learning to Align and Translate with Transformer Models**Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.*2019 · 199 citations*](https://md.research.elamur.ai/free/en/papers/garg-2019-jointly-learning-align-translate-transformer/)
519. [**A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 198 citations*](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/)
520. [**Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting**J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.*2019 · 198 citations*](https://md.research.elamur.ai/free/en/papers/hu-2019-improved-lexically-constrained-decoding-translation/)
521. [**On NMT Search Errors and Model Errors: Cat Got Your Tongue?**Felix Stahlberg, Bill Byrne*2019 · 197 citations*](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/)
522. [**COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining**Yu Meng, Chenyan Xiong, Payal Bajaj, et al.*2021 · 196 citations*](https://md.research.elamur.ai/free/en/papers/meng-2021-coco-lm-correcting-contrasting-text/)
523. [**Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem**Danielle Saunders, Bill Byrne*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/)
524. [**Structured Pruning of Large Language Models**Ziheng Wang, Jeremy Wohlwend, Tao Lei*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-structured-pruning-large-language-models/)
525. [**Towards Faithful Model Explanation in NLP: A Survey**Qing Lyu, Marianna Apidianaki, Chris Callison-Burch*2024 · 194 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2024-faithful-model-explanation-nlp-survey/)
526. [**Time-Aware Language Models as Temporal Knowledge Bases**Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.*2022 · 194 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2022-time-aware-language-models-as/)
527. [**Supervised and Unsupervised Neural Approaches to Text Readability**Matej Martinc, Senja Pollak, Marko Robnik-Šikonja*2021 · 190 citations*](https://md.research.elamur.ai/free/en/papers/martinc-2021-supervised-unsupervised-neural-approaches-text/)
528. [**Analyzing Uncertainty in Neural Machine Translation**Myle Ott, Michael Auli, David Grangier, et al.*2018 · 190 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/)
529. [**PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization**Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.*2023 · 189 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-pandalm-automatic-evaluation-benchmark-llm/)
530. [**Findings of the 2021 Conference on Machine Translation (WMT21)**Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.*2021 · 189 citations*](https://md.research.elamur.ai/free/en/papers/akhbardeh-2021-findings-2021-conference-machine-translation/)
531. [**MuTual: A Dataset for Multi-Turn Dialogue Reasoning**Leyang Cui, Yu Wu, Shujie Liu, et al.*2020 · 189 citations*](https://md.research.elamur.ai/free/en/papers/cui-2020-mutual-dataset-multi-turn-dialogue/)
532. [**On the Impact of Various Types of Noise on Neural Machine Translation**Huda Khayrallah, Philipp Koehn*2018 · 188 citations*](https://md.research.elamur.ai/free/en/papers/khayrallah-2018-impact-various-types-noise-neural/)
533. [**SGPT: GPT Sentence Embeddings for Semantic Search**Niklas Muennighoff*2022 · 187 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-sgpt-gpt-sentence-embeddings-semantic/)
534. [**Adaptive Machine Translation with Large Language Models**Yasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.*2023 · 186 citations*](https://md.research.elamur.ai/free/en/papers/moslem-2023-adaptive-machine-translation-large-language/)
535. [**Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models**Matt Deitke, Christopher Clark, Sangho Lee, et al.*2024 · 184 citations*](https://md.research.elamur.ai/free/en/papers/deitke-2024-molmo-pixmo-open-weights-open/)
536. [**Investigating Backtranslation in Neural Machine Translation**Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.*2018 · 184 citations*](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/)
537. [**SeamlessM4T: Massively Multilingual & Multimodal Machine Translation**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 183 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamlessm4t-massively-multilingual-multimodal-machine/)
538. [**The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT**Jörg Tiedemann*2020 · 183 citations*](https://md.research.elamur.ai/free/en/papers/tiedemann-2020-tatoeba-translation-challenge-realistic-data/)
539. [**Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models**Yunfei Chu, Jin Xu, Xiaohuan Zhou, et al.*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/chu-2023-qwen-audio-advancing-universal/)
540. [**Mesh-TensorFlow: Deep Learning for Supercomputers**Noam Shazeer, Youlong Cheng, Niki Parmar, et al.*2018 · 182 citations*](https://md.research.elamur.ai/free/en/papers/shazeer-2018-mesh-tensorflow-deep-learning-supercomputers/)
541. [**Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection**Hongliang Pan, Zheng Lin, Peng Fu, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/)
542. [**Pre-training via Paraphrasing**Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/)
543. [**Glancing Transformer for Non-Autoregressive Neural Machine Translation**Lihua Qian, Hao Zhou, Yu Bao, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/)
544. [**Planning with Learned Entity Prompts for Abstractive Summarization**Shashi Narayan, Yao Zhao, Joshua Maynez, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/)
545. [**Adapting Language Models to Compress Contexts**Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/)
546. [**CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages**Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-culturax-cleaned-enormous-multilingual-dataset/)
547. [**Eliciting Latent Predictions from Transformers with the Tuned Lens**Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/belrose-2023-eliciting-latent-predictions-transformers-tuned/)
548. [**Charformer: Fast Character Transformers via Gradient-based Subword Tokenization**Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.*2021 · 179 citations*](https://md.research.elamur.ai/free/en/papers/tay-2021-charformer-fast-character-transformers-gradient/)
549. [**Representation Degeneration Problem in Training Natural Language Generation Models**Jun Gao, Di He, Xu Tan, et al.*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)
550. [**A neural interlingua for multilingual machine translation**Yichao Lu, Phillip Keung, Faisal Ladhak, et al.*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/)
551. [**Integrating Transformer and Paraphrase Rules for Sentence Simplification**Sanqiang Zhao, Rui Meng, Daqing He, et al.*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-integrating-transformer-paraphrase-rules-sentence/)
552. [**Findings of the IWSLT 2022 Evaluation Campaign**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/)
553. [**8-bit Optimizers via Block-wise Quantization**Tim Dettmers, Mike Lewis, Sam Shleifer, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/dettmers-2021-8-bit-optimizers-block-wise/)
554. [**Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information**Zehui Lin, Xiao Pan, Mingxuan Wang, et al.*2020 · 177 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/)
555. [**AlphaEvolve: A coding agent for scientific and algorithmic discovery**Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.*2025 · 176 citations*](https://md.research.elamur.ai/free/en/papers/novikov-2025-alphaevolve-coding-agent-scientific-algorithmic/)
556. [**Coreference Resolution with Entity Equalization**Ben Kantor, Amir Globerson*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kantor-2019-coreference-resolution-entity-equalization/)
557. [**Translation Artifacts in Cross-lingual Transfer Learning**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2020 · 175 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2020-translation-artifacts-cross-lingual-transfer/)
558. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
559. [**Investigating Multilingual NMT Representations at Scale**Sneha Kudugunta, Ankur Bapna, Isaac Caswell, et al.*2019 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kudugunta-2019-investigating-multilingual-nmt-representations-scale/)
560. [**Tensor2Tensor for Neural Machine Translation**Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.*2018 · 174 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2018-tensor2tensor-neural-machine-translation/)
561. [**Stance Detection in COVID-19 Tweets**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/)
562. [**Lifting the Curse of Multilinguality by Pre-training Modular Transformers**Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/)
563. [**SemEval-2021 Task 5: Toxic Spans Detection**John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.*2021 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2021-semeval-2021-task-5-toxic/)
564. [**SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language Model**Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.*2025 · 171 citations*](https://md.research.elamur.ai/free/en/papers/allal-2025-smollm2-smol-goes-big-data/)
565. [**ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering**Zhiyu Chen, Shiyang Li, Charese Smiley, et al.*2022 · 171 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-convfinqa-exploring-chain-numerical-reasoning/)
566. [**KernelBench: Can LLMs Write Efficient GPU Kernels?**Anne Ouyang, Simon Guo, Simran Arora, et al.*2025 · 170 citations*](https://md.research.elamur.ai/free/en/papers/ouyang-2025-kernelbench-llms-write-efficient-gpu/)
567. [**Do Llamas Work in English? On the Latent Language of Multilingual Transformers**Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/wendler-2024-do-llamas-work-english-latent/)
568. [**Learning to Compress Prompts with Gist Tokens**Jesse Mu, Xiang Lisa Li, Noah Goodman*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/mu-2023-learning-compress-prompts-gist-tokens/)
569. [**Neural Machine Translation Decoding with Terminology Constraints**Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, et al.*2018 · 170 citations*](https://md.research.elamur.ai/free/en/papers/hasler-2018-neural-machine-translation-decoding-terminology/)
570. [**AudioPaLM: A Large Language Model That Can Speak and Listen**Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/rubenstein-2023-audiopalm-large-language-model-that/)
571. [**AMR Parsing via Graph-Sequence Iterative Inference**Deng Cai, Wai Lam*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/cai-2020-amr-parsing-graph-sequence-iterative/)
572. [**ShortGPT: Layers in Large Language Models are More Redundant Than You Expect**Xin Men, Mingyu Xu, Qingyu Zhang, et al.*2024 · 167 citations*](https://md.research.elamur.ai/free/en/papers/men-2024-shortgpt-layers-large-language-models/)
573. [**Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases**Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.*2021 · 167 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/)
574. [**Neural Syntactic Preordering for Controlled Paraphrase Generation**Tanya Goyal, Greg Durrett*2020 · 167 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2020-neural-syntactic-preordering-controlled-paraphrase/)
575. [**Deduplicating Training Data Mitigates Privacy Risks in Language Models**Nikhil Kandpal, Eric Wallace, Colin Raffel*2022 · 166 citations*](https://md.research.elamur.ai/free/en/papers/kandpal-2022-deduplicating-training-data-mitigates-privacy/)
576. [**On Generative Spoken Language Modeling from Raw Audio**Kushal Lakhotia, Eugene Kharitonov, Wei-Ning Hsu, et al.*2021 · 165 citations*](https://md.research.elamur.ai/free/en/papers/lakhotia-2021-generative-spoken-language-modeling-raw/)
577. [**Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation**Bryan Eikema, Wilker Aziz*2020 · 165 citations*](https://md.research.elamur.ai/free/en/papers/eikema-2020-is-map-decoding-all-you/)
578. [**Large Language Diffusion Models**Shen Nie, Fengqi Zhu, Zebin You, et al.*2025 · 164 citations*](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/)
579. [**SantaCoder: don't reach for the stars!**Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.*2023 · 164 citations*](https://md.research.elamur.ai/free/en/papers/allal-2023-santacoder-don-t-reach-stars/)
580. [**Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings**Mikel Artetxe, Holger Schwenk*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2019-margin-based-parallel-corpus-mining/)
581. [**CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer**Zhuoyi Yang, Jiayan Teng, Wendi Zheng, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-cogvideox-text-video-diffusion/)
582. [**AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages**Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.*2022 · 163 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2022-americasnli-evaluating-zero-shot-natural/)
583. [**Tuning Multilingual Transformers for Language-Specific Named Entity Recognition**Mikhail Arkhipov, Maria Trofimova, Yuri Kuratov, et al.*2019 · 163 citations*](https://md.research.elamur.ai/free/en/papers/arkhipov-2019-tuning-multilingual-transformers-language-specific/)
584. [**GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts**Jiahao Yu, Xingwei Lin, Zheng Yu, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-gptfuzzer-red-teaming-large-language/)
585. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
586. [**Explanations for CommonsenseQA: New Dataset and Models**Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.*2021 · 162 citations*](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/)
587. [**EASSE: Easier Automatic Sentence Simplification Evaluation**Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/)
588. [**On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment**Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-negative-interference-multilingual-models-findings/)
589. [**Larger-Scale Transformers for Multilingual Masked Language Modeling**Naman Goyal, Jingfei Du, Myle Ott, et al.*2021 · 160 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2021-larger-scale-transformers-multilingual-masked/)
590. [**MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer**Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos*2021 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-multieurlex-multi-lingual-multi-label/)
591. [**PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation**Wei Zeng, Xiaozhe Ren, Teng Su, et al.*2021 · 159 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2021-pangu-alpha-large-scale/)
592. [**The Linear Representation Hypothesis and the Geometry of Large Language Models**Kiho Park, Yo Joong Choe, Victor Veitch*2023 · 157 citations*](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/)
593. [**DataComp-LM: In search of the next generation of training sets for language models**Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/)
594. [**VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks**Jing Yu Koh, Robert Lo, Lawrence Jang, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/koh-2024-visualwebarena-evaluating-multimodal-agents-realistic/)
595. [**Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation**Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.*2022 · 156 citations*](https://md.research.elamur.ai/free/en/papers/clark-2022-canine-pre-training-efficient-tokenization/)
596. [**The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2021 · 156 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/)
597. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
598. [**LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding**Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.*2024 · 155 citations*](https://md.research.elamur.ai/free/en/papers/elhoushi-2024-layerskip-enabling-early-exit-inference/)
599. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
600. [**On Hallucination and Predictive Uncertainty in Conditional Language Generation**Yijun Xiao, William Yang Wang*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2021-hallucination-predictive-uncertainty-conditional-language/)

[← prev](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/5/) [1](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/) … [5](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/5/) **6** [7](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/7/) … [10](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/10/) [next →](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/7/)

- [← back to](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/) — Attention Is All You Need