Elamur Research⌕
☰
home / authors / Xiangyu Zhang / cited by / page 3

Who cites Xiangyu Zhang

6,662 citations of their works from 6,062 papers of our library (of the 149,439 whose bibliographies we read) · 464 with a page here, the most cited first · page 3 of 5 · 201–300 · ← Xiangyu Zhang

1 2 3 4 5

  1. DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 203 citations
  2. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
  3. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and ActionarXiv:2303.11381Zhengyuan Yang, Linjie Li, Jianfeng Wang, et al.2023 · 196 citations
  4. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations
  5. What Neural Networks Memorize and Why: Discovering the Long Tail via Influence EstimationarXiv:2008.03703Vitaly Feldman, Chiyuan Zhang2020 · 193 citations
  6. 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
  7. Transformers without Tears: Improving the Normalization of Self-AttentionarXiv:1910.05895Toan Q. Nguyen, Julian Salazar2019 · 189 citations
  8. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference TimeInternational Conference on Machine Learning (ICML)Zichang Liu, Jue Wang, Tri Dao, et al.2023 · 185 citations
  9. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 184 citations
  10. 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
  11. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  12. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
  13. Findings of the IWSLT 2022 Evaluation CampaignInternational Conference on Spoken Language Translation (IWSLT)Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.2022 · 177 citations
  14. Adaptive Input Representations for Neural Language ModelingarXiv:1809.10853Alexei Baevski, Michael Auli2018 · 177 citations
  15. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
  16. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
  17. Diffusion Policy: Visuomotor Policy Learning via Action DiffusionarXiv:2303.04137Cheng Chi, Zhenjia Xu, Siyuan Feng, et al.2023 · 173 citations
  18. Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.2020 · 173 citations
  19. Measuring abstract reasoning in neural networksarXiv:1807.04225David G. T. Barrett, Felix Hill, Adam Santoro, et al.2018 · 173 citations
  20. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  21. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Bin Liang, Chenwei Lou, Xiang Li, et al.2022 · 172 citations
  22. Detecting Harmful Memes and Their TargetsFindings of the Association for Computational LinguisticsShraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.2021 · 171 citations
  23. Can We Automate Scientific Reviewing?Journal of Artificial Intelligence ResearchWeizhe Yuan, Pengfei Liu, Graham Neubig2021 · 165 citations
  24. Chart-to-Text: A Large-Scale Benchmark for Chart SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shankar Kantharaj, Rixie Tiffany Leong, Xiang Lin, et al.2022 · 163 citations
  25. Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 163 citations
  26. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
  27. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
  28. MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transferConference on Empirical Methods in Natural Language Processing (EMNLP)Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos2021 · 160 citations
  29. CLIPort: What and Where Pathways for Robotic ManipulationarXiv:2109.12098Mohit Shridhar, Lucas Manuelli, Dieter Fox2021 · 159 citations
  30. Dataset Condensation with Gradient MatchingInternational Conference on Learning Representations (ICLR)Bo Zhao, Konda Reddy Mopuri, Hakan Bilen2020 · 159 citations
  31. MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUsarXiv:2402.15627Ziheng Jiang, Haibin Lin, Yinmin Zhong, et al.2024 · 157 citations
  32. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 152 citations
  33. Recurrent Highway NetworksarXiv:1607.03474Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutnik, et al.2016 · 147 citations
  34. 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
  35. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
  36. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
  37. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations
  38. Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningarXiv:2105.04165Pan Lu, Ran Gong, Shibiao Jiang, et al.2021 · 139 citations
  39. 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
  40. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
  41. Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image DescriptionConference on Machine Translation (WMT)Desmond Elliott, Stella Frank, Loïc Barrault, et al.2017 · 137 citations
  42. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.2021 · 135 citations
  43. Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather ForecastarXiv:2211.02556Kaifeng Bi, Lingxi Xie, Hengheng Zhang, et al.2022 · 133 citations
  44. Seq2Edits: Sequence Transduction Using Span-level Edit OperationsConference on Empirical Methods in Natural Language Processing (EMNLP)Felix Stahlberg, Shankar Kumar2020 · 133 citations
  45. Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge EnhancementConference on Empirical Methods in Natural Language Processing (EMNLP)Hui Liu, Wenya Wang, Haoliang Li2022 · 132 citations
  46. Deep Enhanced Representation for Implicit Discourse Relation RecognitionInternational Conference on Computational Linguistics (COLING)Hongxiao Bai, Hai Zhao2018 · 131 citations
  47. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  48. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 129 citations
  49. Insertion-based Decoding with Automatically Inferred Generation OrderTransactions of the Association for Computational Linguistics (TACL)Jiatao Gu, Qi Liu, Kyunghyun Cho2019 · 125 citations
  50. Fast Distributed Inference Serving for Large Language ModelsarXiv 2023Bingyang Wu, Yinmin Zhong, Zili Zhang, et al.2023 · 123 citations
  51. LongNet: Scaling Transformers to 1,000,000,000 TokensarXiv:2307.02486Jiayu Ding, Shuming Ma, Li Dong, et al.2023 · 123 citations
  52. UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.2023 · 121 citations
  53. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  54. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Lingpeng Kong, Wei Bi, et al.2021 · 120 citations
  55. A Constructive Prediction of the Generalization Error Across ScalesarXiv:1909.12673Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, et al.2019 · 120 citations
  56. SlideVQA: A Dataset for Document Visual Question Answering on Multiple ImagesProceedings of the AAAI Conference on Artificial IntelligenceRyota Tanaka, Kyosuke Nishida, Kosuke Nishida, et al.2023 · 116 citations
  57. Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2arXiv:2408.05147Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, et al.2024 · 115 citations
  58. RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenkai Yang, Yankai Lin, Peng Li, et al.2021 · 112 citations
  59. ImageNet Training in MinutesarXiv:1709.05011Yang You, Zhao Zhang, Cho-Jui Hsieh, et al.2017 · 112 citations
  60. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical ExpressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaqi Chen, Tong Li, Jinghui Qin, et al.2022 · 111 citations
  61. DAPPLE: A Pipelined Data Parallel Approach for Training Large ModelsarXiv:2007.01045Shiqing Fan, Yi Rong, Chen Meng, et al.2020 · 107 citations
  62. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  63. REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage NormalizationarXiv:2501.03262Jian Hu, Jason Klein Liu, Haotian Xu, et al.2025 · 104 citations
  64. IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningarXiv:2110.13214Pan Lu, Liang Qiu, Jiaqi Chen, et al.2021 · 103 citations
  65. CPM-2: Large-scale Cost-effective Pre-trained Language ModelsAI OpenZhengyan Zhang, Yuxian Gu, Xu Han, et al.2021 · 102 citations
  66. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
  67. VeRA: Vector-based Random Matrix AdaptationarXiv:2310.11454Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano2023 · 99 citations
  68. Accelerating Sparse Deep Neural NetworksarXiv 2021 (NVIDIA)Asit Mishra, Jorge Albericio Latorre, Jeff Pool, et al.2021 · 97 citations
  69. Dataset DistillationarXiv:1811.10959Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, et al.2018 · 97 citations
  70. Qwen-Image Technical ReportarXiv:2508.02324Chenfei Wu, Jiahao Li, Jingren Zhou, et al.2025 · 92 citations
  71. Pre-training on high-resource speech recognition improves low-resource speech-to-text translationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sameer Bansal, Herman Kamper, Karen Livescu, et al.2019 · 91 citations
  72. Massive Activations in Large Language ModelsarXiv:2402.17762Mingjie Sun, Xinlei Chen, J. Zico Kolter, et al.2024 · 88 citations
  73. Themis: Fair and Efficient GPU Cluster SchedulingarXiv:1907.01484Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, et al.2019 · 87 citations
  74. PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsarXiv:2404.02948Fanxu Meng, Zhaohui Wang, Muhan Zhang2024 · 86 citations
  75. Mitigating the Alignment Tax of RLHFConference on Empirical Methods in Natural Language Processing (EMNLP)Yong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 83 citations
  76. Zeus: Understanding and Optimizing GPU Energy Consumption of DNN TrainingarXiv:2208.06102Jie You, Jae-Won Chung, Mosharaf Chowdhury2022 · 82 citations
  77. Doubly-Attentive Decoder for Multi-modal Neural Machine TranslationarXiv:1702.01287Iacer Calixto, Qun Liu, Nick Campbell2017 · 82 citations
  78. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
  79. AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language ReasoningConference on Neural Information Processing Systems (NeurIPS)Wei Fu, Jiaxuan Gao, Xujie Shen, et al.2025 · 80 citations
  80. Towards Emotion-aided Multi-modal Dialogue Act ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Tulika Saha, Aditya Patra, Sriparna Saha, et al.2020 · 79 citations
  81. Evaluating prose style transfer with the BibleKeith Carlson, Allen Riddell, Daniel Rockmore2017 · 78 citations
  82. TTRL: Test-Time Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Yuxin Zuo, Kaiyan Zhang, Li Sheng, et al.2025 · 76 citations
  83. SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented ParserConference on Empirical Methods in Natural Language Processing (EMNLP)Yue Zhang, Bo Zhang, Zhenghua Li, et al.2022 · 76 citations
  84. Arabic Speech Recognition by End-to-End, Modular Systems and HumanComputer Speech & LanguageAmir Hussein, Shinji Watanabe, Ahmed Ali2021 · 76 citations
  85. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
  86. ReLoRA: High-Rank Training Through Low-Rank UpdatesarXiv:2307.05695Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, et al.2023 · 74 citations
  87. Systematic Generalization: What Is Required and Can It Be Learned?arXiv:1811.12889Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.2018 · 73 citations
  88. WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityConference on Neural Information Processing Systems (NeurIPS)Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.2025 · 72 citations
  89. TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph SubstitutionsSOSP 2019Zhihao Jia, Oded Padon, James Thomas, et al.2019 · 72 citations
  90. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningarXiv:2504.20073Zihan Wang, Kangrui Wang, Qineng Wang, et al.2025 · 71 citations
  91. Aligner: Efficient Alignment by Learning to CorrectConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Boyuan Chen, Hantao Lou, et al.2024 · 69 citations
  92. Learning to Reason under Off-Policy GuidanceConference on Neural Information Processing Systems (NeurIPS)Jianhao Yan, Yafu Li, Zican Hu, et al.2025 · 68 citations
  93. VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning TasksarXiv:2504.05118Yu Yue, Yufeng Yuan, Qiying Yu, et al.2025 · 68 citations
  94. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
  95. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
  96. Dynamic Routing Transformer Network for Multimodal Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Tian, Nan Xu, Ruike Zhang, et al.2023 · 66 citations
  97. Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse AutoencodersarXiv:2410.20526Zhengfu He, Wentao Shu, Xuyang Ge, et al.2024 · 63 citations
  98. Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text DataProceedings of the First International Workshop on Natural Language Processing Beyond TextXinyu Wang, Xiaowen Sun, Tan Yang, et al.2020 · 62 citations
  99. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  100. Investigating the Catastrophic Forgetting in Multimodal Large Language ModelsarXiv:2309.10313Yuexiang Zhai, Shengbang Tong, Xiao Li, et al.2023 · 59 citations

1 2 3 4 5

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/cited-by/page/3/