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Who cites Yangqing Jia

2,608 citations of their works from 2,224 papers of our library (of the 149,439 whose bibliographies we read) · 174 with a page here, the most cited first · page 2 of 2 · 101–174 · ← Yangqing Jia

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  1. Training Tips for the Transformer ModelarXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70Martin Popel, Ondřej Bojar2018 · 370 citations
  2. Combining Language and Vision with a Multimodal Skip-gram ModelConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Angeliki Lazaridou, Nghia The Pham, Marco Baroni2015 · 368 citations
  3. emoji2vec: Learning Emoji Representations from their DescriptionInternational Workshop on Natural Language Processing for Social MediaBen Eisner, Tim Rocktäschel, Isabelle Augenstein, et al.2016 · 360 citations
  4. Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four MinutesarXiv:1807.11205Xianyan Jia, Shutao Song, Wei He, et al.2018 · 348 citations
  5. How Transferable are Neural Networks in NLP Applications?Conference on Empirical Methods in Natural Language Processing (EMNLP)Lili Mou, Zhao Meng, Rui Yan, et al.2016 · 328 citations
  6. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations
  7. Multi-task Sequence to Sequence LearningarXiv:1511.06114Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.2015 · 321 citations
  8. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  9. Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity MeasurementConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hua He, Jimmy Lin2016 · 297 citations
  10. Black Holes and White Rabbits: Metaphor Identification with Visual FeaturesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ekaterina Shutova, Douwe Kiela, Jean Maillard2016 · 293 citations
  11. SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Xinyi Wang, Hieu Pham, Zihang Dai, et al.2018 · 290 citations
  12. Detecting Sarcasm in Multimodal Social PlatformsACM International Conference on Multimedia (ACM MM)Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 290 citations
  13. Hierarchical Multiscale Recurrent Neural NetworksarXiv:1609.01704Junyoung Chung, Sungjin Ahn, Yoshua Bengio2016 · 288 citations
  14. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
  15. Guided Open Vocabulary Image Captioning with Constrained Beam SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Peter Anderson, Basura Fernando, Mark Johnson, et al.2017 · 286 citations
  16. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
  17. Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Angeliki Lazaridou, Georgiana Dinu, Marco Baroni2015 · 276 citations
  18. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  19. Perceiver: General Perception with Iterative AttentionarXiv:2103.03206Andrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 269 citations
  20. Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Jie Zhou, Ying Cao, Xuguang Wang, et al.2016 · 265 citations
  21. Once-for-All: Train One Network and Specialize it for Efficient DeploymentarXiv:1908.09791Han Cai, Chuang Gan, Tianzhe Wang, et al.2019 · 252 citations
  22. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  23. CLUE: A Chinese Language Understanding Evaluation BenchmarkarXiv:2004.05986Liang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 244 citations
  24. FigureQA: An Annotated Figure Dataset for Visual ReasoningarXiv:1710.07300Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.2017 · 240 citations
  25. From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal LikelihoodAnnual Meeting of the Association for Computational Linguistics (ACL)Kelvin Guu, Panupong Pasupat, Evan Liu, et al.2017 · 236 citations
  26. Understanding the Difficulty of Training TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.2020 · 231 citations
  27. Unsupervised Deep Embedding for Clustering AnalysisInternational Conference on Machine Learning (ICML)Junyuan Xie, Ross Girshick, Ali Farhadi2016 · 222 citations
  28. Few-Shot Charge Prediction with Discriminative Legal AttributesInternational Conference on Computational Linguistics (COLING)Zikun Hu, Xiang Li, Cunchao Tu, et al.2018 · 221 citations
  29. Generating Fact Checking ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 220 citations
  30. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
  31. Autoformalization with Large Language ModelsarXiv:2205.12615Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 204 citations
  32. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
  33. What Neural Networks Memorize and Why: Discovering the Long Tail via Influence EstimationarXiv:2008.03703Vitaly Feldman, Chiyuan Zhang2020 · 193 citations
  34. End-to-End Differentiable ProvingarXiv:1705.11040Tim Rocktäschel, Sebastian Riedel2017 · 188 citations
  35. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
  36. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
  37. Effective Domain Mixing for Neural Machine TranslationConference on Machine Translation (WMT)Denny Britz, Quoc Le, Reid Pryzant2017 · 156 citations
  38. Fine-Tuning Language Models with Just Forward PassesConference on Neural Information Processing Systems (NeurIPS)Sadhika Malladi, Tianyu Gao, Eshaan Nichani, et al.2023 · 153 citations
  39. HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentComputational LinguisticsIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
  40. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
  41. Deep Network Guided Proof SearcharXiv:1701.06972 (In Thomas Eiter and David Sands, editors, 21st International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR-21). EPiC Series in Computing, vol. 46, pages 85-105, EasyChair, 2017. ISSN 2398-7340)Sarah Loos, Geoffrey Irving, Christian Szegedy, et al.2017 · 139 citations
  42. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 129 citations
  43. Learning to Represent Programs with GraphsarXiv:1711.00740Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi2017 · 127 citations
  44. An Improved Baseline for Sentence-level Relation ExtractionConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Wenxuan Zhou, Muhao Chen2022 · 124 citations
  45. Finding Neurons in a Haystack: Case Studies with Sparse ProbingarXiv:2305.01610Wes Gurnee, Neel Nanda, Matthew Pauly, et al.2023 · 123 citations
  46. Making Neural QA as Simple as Possible but not SimplerarXiv:1703.04816Dirk Weissenborn, Georg Wiese, Laura Seiffe2017 · 122 citations
  47. ImageNet Training in MinutesarXiv:1709.05011Yang You, Zhao Zhang, Cho-Jui Hsieh, et al.2017 · 112 citations
  48. DAPPLE: A Pipelined Data Parallel Approach for Training Large ModelsarXiv:2007.01045Shiqing Fan, Yi Rong, Chen Meng, et al.2020 · 107 citations
  49. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
  50. Accelerating Sparse Deep Neural NetworksarXiv 2021 (NVIDIA)Asit Mishra, Jorge Albericio Latorre, Jeff Pool, et al.2021 · 97 citations
  51. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  52. Neural Machine Translation with Supervised AttentionInternational Conference on Computational Linguistics (COLING)Lemao Liu, Masao Utiyama, Andrew Finch, et al.2016 · 85 citations
  53. Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingarXiv:2208.06102Jie You, Jae-Won Chung, Mosharaf Chowdhury2022 · 82 citations
  54. Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level PredictionTransactions of the Association for Computational Linguistics (TACL)Daniela Gerz, Ivan Vulić, Edoardo Ponti, et al.2018 · 82 citations
  55. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
  56. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
  57. On the limit of English conversational speech recognitionInterspeechZoltan Tuske, George Saon, Brian Kingsbury2021 · 49 citations
  58. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  59. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  60. Multimodal Semantic Learning from Child-Directed InputConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernández, et al.2016 · 29 citations
  61. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
  62. Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural NetworksConference of the North American Chapter of the Association for Computational Linguistics: Student Research WorkshopVasu Jindal2018 · 23 citations
  63. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
  64. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  65. Violet: A Vision-Language Model for Arabic Image Captioning with Gemini DecoderArabic Natural Language Processing Conference (ArabicNLP)Abdelrahman Mohamed, Fakhraddin Alwajih, El Moatez Billah Nagoudi, et al.2023 · 18 citations
  66. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
  67. Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in EpigraphyAndrei C. Aioanei, Regine Hunziker-Rodewald, Konstantin Klein, et al.2023 · 8 citations
  68. Automatically Detecting Reduced-formed English Pronunciations by Using Deep LearningWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Lei Chen, Chenglin Jiang, Yiwei Gu, et al.2022 · 4 citations
  69. Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native EnglisharXiv:1810.13088Yan Yin, Ramon Prieto, Bin Wang, et al.2018 · 2 citations
  70. TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG RobustnessLanguage Resources and Evaluation Conference (LREC)Yongxin Zhou, Philippe Mulhem, Didier Schwab2026 · 1 citation
  71. Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time ScalingFindings of the Association for Computational LinguisticsKai Zhang, Jiayi Liao, Chengpeng Li, et al.2026
  72. DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and TrustworthinessConference of the European Chapter of the Association for Computational Linguistics (EACL)Evgenii Nikolaev, Timur Ionov, Anna Korzanova, et al.2026
  73. EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingrun Xing, Zheng Liu, Shitao Xiao, et al.2026
  74. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow OptimizationFindings of the Association for Computational LinguisticsHuimin Xu, Shuai Zhao, Xiaobao Wu, et al.2026

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