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Who cites Aidan N. Gomez

17,908 citations of their works from 17,698 papers of our library (of the 149,439 whose bibliographies we read) · 2,161 with a page here, the most cited first · page 7 of 22 · 601–700 · ← Aidan N. Gomez

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  1. ChemCrow: Augmenting large-language models with chemistry toolsarXiv:2304.05376Andres M Bran, Sam Cox, Oliver Schilter, et al.2023 · 211 citations
  2. Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?Transactions of the Association for Computational Linguistics (TACL)Byung-Doh Oh, William Schuler2023 · 211 citations
  3. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 210 citations
  4. Logical Natural Language Generation from Open-Domain TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhu Chen, Jianshu Chen, Yu Su, et al.2020 · 210 citations
  5. SALMONN: Towards Generic Hearing Abilities for Large Language ModelsarXiv:2310.13289Changli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 209 citations
  6. What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesConference on Neural Information Processing Systems (NeurIPS)Shivam Garg, Dimitris Tsipras, Percy Liang, et al.2022 · 209 citations
  7. Recursively Summarizing Books with Human FeedbackarXiv:2109.10862Jeff Wu, Long Ouyang, Daniel M. Ziegler, et al.2021 · 208 citations
  8. Entities as Experts: Sparse Memory Access with Entity SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP)Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, et al.2020 · 208 citations
  9. Optimus: Organizing Sentences via Pre-trained Modeling of a Latent SpaceConference on Empirical Methods in Natural Language Processing (EMNLP)Chunyuan Li, Xiang Gao, Yuan Li, et al.2020 · 208 citations
  10. NExT-GPT: Any-to-Any Multimodal LLMarXiv:2309.05519Shengqiong Wu, Hao Fei, Leigang Qu, et al.2023 · 207 citations
  11. Entity-level Factual Consistency of Abstractive Text SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.2021 · 207 citations
  12. Language Model Tokenizers Introduce Unfairness Between LanguagesConference on Neural Information Processing Systems (NeurIPS)Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 206 citations
  13. Automated Concatenation of Embeddings for Structured PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Wang, Yong Jiang, Nguyen Bach, et al.2021 · 206 citations
  14. CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersInternational Conference on Computational Linguistics (COLING)Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne, et al.2020 · 206 citations
  15. On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Chaojun Wang, Rico Sennrich2020 · 206 citations
  16. Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic AssociationAnnual Meeting of the Association for Computational Linguistics (ACL)Nan Xu, Zhixiong Zeng, Wenji Mao2020 · 206 citations
  17. Neural Arabic Question AnsweringArabic Natural Language Processing Workshop (WANLP)Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.2019 · 206 citations
  18. Contextualizing Hate Speech Classifiers with Post-hoc ExplanationAnnual Meeting of the Association for Computational Linguistics (ACL)Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, et al.2020 · 205 citations
  19. Autoformalization with Large Language ModelsarXiv:2205.12615Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 204 citations
  20. On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Ruidan He, Linlin Liu, Hai Ye, et al.2021 · 204 citations
  21. mGPT: Few-Shot Learners Go MultilingualarXiv:2204.07580Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.2022 · 203 citations
  22. An Effective Approach to Unsupervised Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Mikel Artetxe, Gorka Labaka, Eneko Agirre2019 · 203 citations
  23. Mesh-TensorFlow: Deep Learning for SupercomputersarXiv:1811.02084Noam Shazeer, Youlong Cheng, Niki Parmar, et al.2018 · 203 citations
  24. AlphaEvolve: A coding agent for scientific and algorithmic discoveryarXiv:2506.13131Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.2025 · 202 citations
  25. Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 202 citations
  26. End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Jindřich Libovický, Jindřich Helcl2018 · 202 citations
  27. AraT5: Text-to-Text Transformers for Arabic Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2022 · 201 citations
  28. CTRLsum: Towards Generic Controllable Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Junxian He, Wojciech Kryscinski, Bryan McCann, et al.2022 · 201 citations
  29. Recipes for Safety in Open-domain ChatbotsarXiv:2010.07079Jing Xu, Da Ju, Margaret Li, et al.2020 · 201 citations
  30. On NMT Search Errors and Model Errors: Cat Got Your Tongue?Conference on Empirical Methods in Natural Language Processing (EMNLP)Felix Stahlberg, Bill Byrne2019 · 201 citations
  31. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
  32. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesarXiv:2305.16307Jay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
  33. Multimodal Transformer for Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaowei Yao, Xiaojun Wan2020 · 200 citations
  34. Dual Conditional Cross-Entropy Filtering of Noisy Parallel CorporaConference on Machine Translation: Shared Task PapersMarcin Junczys-Dowmunt2018 · 200 citations
  35. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
  36. WT5?! Training Text-to-Text Models to Explain their PredictionsarXiv:2004.14546Sharan Narang, Colin Raffel, Katherine Lee, et al.2020 · 199 citations
  37. Improved Lexically Constrained Decoding for Translation and Monolingual RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.2019 · 199 citations
  38. Jointly Learning to Align and Translate with Transformer ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.2019 · 199 citations
  39. Position Information in Transformers: An OverviewComputational LinguisticsPhilipp Dufter, Martin Schmitt, Hinrich Schütze2022 · 198 citations
  40. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  41. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Danielle Saunders, Bill Byrne2020 · 198 citations
  42. Towards Faithful Model Explanation in NLP: A SurveyComputational LinguisticsQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 197 citations
  43. High-Fidelity Audio Compression with Improved RVQGANConference on Neural Information Processing Systems (NeurIPS)Rithesh Kumar, Prem Seetharaman, Alejandro Luebs, et al.2023 · 196 citations
  44. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and ActionarXiv:2303.11381Zhengyuan Yang, Linjie Li, Jianfeng Wang, et al.2023 · 196 citations
  45. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  46. Analyzing Uncertainty in Neural Machine TranslationarXiv:1803.00047Myle Ott, Michael Auli, David Grangier, et al.2018 · 195 citations
  47. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationarXiv:2306.05087Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 194 citations
  48. Retrieval Augmented Code Generation and SummarizationFindings of the Association for Computational LinguisticsMd Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.2021 · 193 citations
  49. Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Yan Zhang, Zhiyang Teng, et al.2019 · 193 citations
  50. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  51. CogVideo: Large-scale Pretraining for Text-to-Video Generation via TransformersarXiv:2205.15868Wenyi Hong, Ming Ding, Wendi Zheng, et al.2022 · 191 citations
  52. LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruisheng Cao, Lu Chen, Zhi Chen, et al.2021 · 191 citations
  53. Tensor2Tensor for Neural Machine TranslationConference of the Association for Machine Translation in the Americas (AMTA)Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.2018 · 191 citations
  54. CodeS: Towards Building Open-source Language Models for Text-to-SQLarXiv:2402.16347Haoyang Li, Jing Zhang, Hanbing Liu, et al.2024 · 190 citations
  55. Compressing Large-Scale Transformer-Based Models: A Case Study on BERTTransactions of the Association for Computational Linguistics (TACL)Prakhar Ganesh, Yao Chen, Xin Lou, et al.2021 · 190 citations
  56. Enhancing Factual Consistency of Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenguang Zhu, William Hinthorn, Ruochen Xu, et al.2021 · 190 citations
  57. Supervised and Unsupervised Neural Approaches to Text ReadabilityComputational LinguisticsMatej Martinc, Senja Pollak, Marko Robnik-Šikonja2021 · 190 citations
  58. MuTual: A Dataset for Multi-Turn Dialogue ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leyang Cui, Yu Wu, Shujie Liu, et al.2020 · 190 citations
  59. DiffuSeq: Sequence to Sequence Text Generation with Diffusion ModelsarXiv:2210.08933Shansan Gong, Mukai Li, Jiangtao Feng, et al.2022 · 189 citations
  60. Packed Levitated Marker for Entity and Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ye, Yankai Lin, Peng Li, et al.2022 · 189 citations
  61. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
  62. Findings of the 2021 Conference on Machine Translation (WMT21)Conference on Machine Translation (WMT)Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.2021 · 189 citations
  63. Transformers without Tears: Improving the Normalization of Self-AttentionarXiv:1910.05895Toan Q. Nguyen, Julian Salazar2019 · 189 citations
  64. Eliciting Latent Predictions from Transformers with the Tuned LensarXiv:2303.08112Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 188 citations
  65. Neural Open Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Cui, Furu Wei, Ming Zhou2018 · 188 citations
  66. On the Impact of Various Types of Noise on Neural Machine TranslationWorkshop on Neural Machine Translation and GenerationHuda Khayrallah, Philipp Koehn2018 · 188 citations
  67. Pre-training via ParaphrasingarXiv:2006.15020Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.2020 · 187 citations
  68. Adaptive Machine Translation with Large Language ModelsarXiv:2301.13294Yasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.2023 · 186 citations
  69. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationarXiv:2106.12672Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 186 citations
  70. TABBIE: Pretrained Representations of Tabular DataConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hiroshi Iida, Dung Thai, Varun Manjunatha, et al.2021 · 186 citations
  71. Investigating Backtranslation in Neural Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.2018 · 185 citations
  72. CogVideoX: Text-to-Video Diffusion Models with An Expert TransformerarXiv:2408.06072Zhuoyi Yang, Jiayan Teng, Wendi Zheng, et al.2024 · 184 citations
  73. VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Jing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 184 citations
  74. Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsarXiv:2311.07919Yunfei Chu, Jin Xu, Xiaohuan Zhou, et al.2023 · 184 citations
  75. SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationarXiv:2308.11596Seamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 183 citations
  76. The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MTConference on Machine Translation (WMT)Jörg Tiedemann2020 · 183 citations
  77. Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP)Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 182 citations
  78. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionFindings of the Association for Computational LinguisticsHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 182 citations
  79. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
  80. Evaluating Retrieval Quality in Retrieval-Augmented GenerationInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Alireza Salemi, Hamed Zamani2024 · 181 citations
  81. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesLanguage Resources and Evaluation Conference (LREC)Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 181 citations
  82. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  83. Representation Degeneration Problem in Training Natural Language Generation ModelsarXiv:1907.12009Jun Gao, Di He, Xu Tan, et al.2019 · 181 citations
  84. Glancing Transformer for Non-Autoregressive Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lihua Qian, Hao Zhou, Yu Bao, et al.2021 · 180 citations
  85. Planning with Learned Entity Prompts for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)Shashi Narayan, Yao Zhao, Joshua Maynez, et al.2021 · 180 citations
  86. A neural interlingua for multilingual machine translationConference on Machine Translation: Research PapersYichao Lu, Phillip Keung, Faisal Ladhak, et al.2018 · 180 citations
  87. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
  88. Generalized Data Augmentation for Low-Resource TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, et al.2019 · 179 citations
  89. KernelBench: Can LLMs Write Efficient GPU Kernels?arXiv:2502.10517Anne Ouyang, Simon Guo, Simran Arora, et al.2025 · 178 citations
  90. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
  91. Learning to Compress Prompts with Gist TokensConference on Neural Information Processing Systems (NeurIPS)Jesse Mu, Xiang Lisa Li, Noah Goodman2023 · 178 citations
  92. Non-Autoregressive Machine Translation with Latent AlignmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Chitwan Saharia, William Chan, Saurabh Saxena, et al.2020 · 178 citations
  93. Pre-training Multilingual Neural Machine Translation by Leveraging Alignment InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Zehui Lin, Xiao Pan, Mingxuan Wang, et al.2020 · 178 citations
  94. Integrating Transformer and Paraphrase Rules for Sentence SimplificationConference on Empirical Methods in Natural Language Processing (EMNLP)Sanqiang Zhao, Rui Meng, Daqing He, et al.2018 · 178 citations
  95. FlashInfer: Efficient and Customizable Attention Engine for LLM Inference ServingMLSys 2025Zihao Ye, Lequn Chen, Ruihang Lai, et al.2025 · 177 citations
  96. Do Llamas Work in English? On the Latent Language of Multilingual TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.2024 · 177 citations
  97. Findings of the IWSLT 2022 Evaluation CampaignInternational Conference on Spoken Language Translation (IWSLT)Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.2022 · 177 citations
  98. Grokking: Generalization Beyond Overfitting on Small Algorithmic DatasetsarXiv:2201.02177Alethea Power, Yuri Burda, Harri Edwards, et al.2022 · 177 citations
  99. What Artificial Neural Networks Can Tell Us About Human Language AcquisitionarXiv:2208.07998Alex Warstadt, Samuel R. Bowman2022 · 177 citations
  100. BASE Layers: Simplifying Training of Large, Sparse ModelsarXiv:2103.16716Mike Lewis, Shruti Bhosale, Tim Dettmers, et al.2021 · 177 citations

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