Elamur Research⌕
☰
home / institutions / companies / Microsoft / works / page 2

Works of Microsoft

193 works · page 2 of 2 · the most cited first · ← Microsoft

1 2

  1. Want To Reduce Labeling Cost? GPT-3 Can HelpShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 298 citations
  2. MathPrompter: Mathematical Reasoning using Large Language ModelsShima Imani, Liang Du, Harsh Shrivastava2023 · 297 citations
  3. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
  4. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationHaoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 291 citations
  5. Machine Translation of Arabic DialectsRabih Zbib, Erika Malchiodi, Jacob Devlin, et al.2012 · 285 citations
  6. Fine-grained Fact Verification with Kernel Graph Attention NetworkZhenghao Liu, Chenyan Xiong, Maosong Sun, et al.2020 · 282 citations
  7. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
  8. Otter: A Multi-Modal Model with In-Context Instruction TuningBo Li, Yuanhan Zhang, Liangyu Chen, et al.2023 · 279 citations
  9. Text Classification Using Label Names Only: A Language Model Self-Training ApproachYu Meng, Yunyi Zhang, Jiaxin Huang, et al.2020 · 274 citations
  10. POS Tagging of English-Hindi Code-Mixed Social Media ContentYogarshi Vyas, Spandana Gella, Jatin Sharma, et al.2014 · 273 citations
  11. Learning Discriminative Projections for Text Similarity MeasuresWen-tau Yih, Kristina Toutanova, John C. Platt, et al.2011 · 273 citations
  12. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsTongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 271 citations
  13. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingZewen Chi, Li Dong, Furu Wei, et al.2020 · 269 citations
  14. Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More RobustMarkus Freitag, Ricardo Rei, Nitika Mathur, et al.2022 · 263 citations
  15. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsYung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 261 citations
  16. Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual TasksHaoyang Huang, Yaobo Liang, Nan Duan, et al.2019 · 261 citations
  17. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
  18. TAPEX: Table Pre-training via Learning a Neural SQL ExecutorQian Liu, Bei Chen, Jiaqi Guo, et al.2021 · 254 citations
  19. Few-shot Natural Language Generation for Task-Oriented DialogBaolin Peng, Chenguang Zhu, Chunyuan Li, et al.2020 · 253 citations
  20. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong, et al.2023 · 252 citations
  21. The Curious Case of Hallucinations in Neural Machine TranslationVikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt2021 · 240 citations
  22. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  23. A Study of Reinforcement Learning for Neural Machine TranslationLijun Wu, Fei Tian, Tao Qin, et al.2018 · 232 citations
  24. SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)Wei Xu, Chris Callison-Burch, Bill Dolan2015 · 230 citations
  25. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  26. Computational Interpretations of the Gricean Maxims in the Generation of Referring ExpressionsRobert Dale, Ehud Reiter1995 · 225 citations
  27. Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine TranslationMarcin Junczys-Dowmunt2019 · 222 citations
  28. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 222 citations
  29. GLUECoS: An Evaluation Benchmark for Code-Switched NLPSimran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, et al.2020 · 222 citations
  30. Reasoning Over Semantic-Level Graph for Fact CheckingWanjun Zhong, Jingjing Xu, Duyu Tang, et al.2020 · 221 citations
  31. Making Language Models Better Reasoners with Step-Aware VerifierYifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 216 citations
  32. A Global Joint Model for Semantic Role LabelingKristina Toutanova, Aria Haghighi, Christopher D. Manning2008 · 214 citations
  33. Unsupervised Morphological Segmentation with Log-Linear ModelsHoifung Poon, Colin Cherry, Kristina Toutanova2009 · 210 citations
  34. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  35. Challenges in Detoxifying Language ModelsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 206 citations
  36. EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyYuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 204 citations
  37. Towards a Unified Multi-Dimensional Evaluator for Text GenerationMing Zhong, Yang Liu, Da Yin, et al.2022 · 204 citations
  38. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  39. Dual Conditional Cross-Entropy Filtering of Noisy Parallel CorporaMarcin Junczys-Dowmunt2018 · 200 citations
  40. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsSuyu Ge, Yunan Zhang, Liyuan Liu, et al.2023 · 198 citations
  41. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingYu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
  42. Paraphrasing for StyleWei Xu, Alan Ritter, Bill Dolan, et al.2012 · 196 citations
  43. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4Tom Kocmi, Christian Federmann2023 · 191 citations
  44. Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge GraphsHouyu Zhang, Zhenghao Liu, Chenyan Xiong, et al.2020 · 181 citations
  45. Representation Degeneration Problem in Training Natural Language Generation ModelsJun Gao, Di He, Xu Tan, et al.2019 · 179 citations
  46. Investigating Cultural Alignment of Large Language ModelsBadr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.2024 · 177 citations
  47. Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved YetTom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.2024 · 177 citations
  48. MediaSum: A Large-scale Media Interview Dataset for Dialogue SummarizationChenguang Zhu, Yang Liu, Jie Mei, et al.2021 · 176 citations
  49. Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic LanguagesSumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.2023 · 174 citations
  50. Findings of the WMT 2019 Shared Tasks on Quality EstimationErick Fonseca, Lisa Yankovskaya, André F. T. Martins, et al.2019 · 173 citations
  51. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningQingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 170 citations
  52. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  53. Structure-Grounded Pretraining for Text-to-SQLXiang Deng, Ahmed Hassan Awadallah, Christopher Meek, et al.2021 · 166 citations
  54. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  55. AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource LanguagesAbteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.2022 · 163 citations
  56. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
  57. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  58. DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer ModelsSam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, et al.2023 · 159 citations
  59. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
  60. LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionHuiqiang Jiang, Qianhui Wu, Xufang Luo, et al.2023 · 158 citations
  61. Unsupervised Text Style Transfer using Language Models as DiscriminatorsZichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 157 citations
  62. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News TranslationDavid Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.2022 · 155 citations
  63. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
  64. Generation-Augmented Retrieval for Open-domain Question AnsweringYuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 150 citations
  65. Context-faithful Prompting for Large Language ModelsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 145 citations
  66. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  67. End-to-End Task-Completion Neural Dialogue SystemsXiujun Li, Yun-Nung Chen, Lihong Li, et al.2017 · 141 citations
  68. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationTianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 140 citations
  69. LongRoPE: Extending LLM Context Window Beyond 2 Million TokensYiran Ding, Li Lyna Zhang, Chengruidong Zhang, et al.2024 · 138 citations
  70. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesYuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 131 citations
  71. Toward Gender-Inclusive Coreference ResolutionYang Trista Cao, Hal Daumé III2020 · 125 citations
  72. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelJingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
  73. Orca-Math: Unlocking the potential of SLMs in Grade School MathArindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 109 citations
  74. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 106 citations
  75. Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared TaskMarkus Freitag, Nitika Mathur, Daniel Deutsch, et al.2024 · 106 citations
  76. NTREX-128 – News Test References for MT Evaluation of 128 LanguagesChristian Federmann, Tom Kocmi, Ying Xin2022 · 104 citations
  77. Findings of the WMT 2019 Shared Task on Automatic Post-EditingRajen Chatterjee, Christian Federmann, Matteo Negri, et al.2019 · 102 citations
  78. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsHongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
  79. MLQE-PE: A Multilingual Quality Estimation and Post-Editing DatasetMarina Fomicheva, Shuo Sun, Erick Fonseca, et al.2022 · 76 citations
  80. Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test SetsTom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.2025 · 73 citations
  81. A global model for joint lemmatization and part-of-speech predictionKristina Toutanova, Colin Cherry2009 · 58 citations
  82. Frame Semantic Tree Kernels for Social Network Extraction from TextApoorv Agarwal, Sriramkumar Balasubramanian, Anup Kotalwar, et al.2014 · 40 citations
  83. Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al.2023 · 39 citations
  84. OG-RAG: Ontology-grounded retrieval-augmented generation for large language modelsKartik Sharma, Peeyush Kumar, Yunqing Li2025 · 37 citations
  85. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
  86. Machine-learned contexts for linguistic operations in German sentence realizationMichael Gamon, Eric Ringger, Simon Corston-Oliver, et al.2002 · 20 citations
  87. Syntactic Models for Structural Word Insertion and Deletion during TranslationArul Menezes, Chris Quirk2008 · 17 citations
  88. Using the Penn Treebank to Evaluate Non-Treebank ParsersEric K. Ringger, Robert C. Moore, Eugene Charniak, et al.2004 · 16 citations
  89. Joint Universal Syntactic and Semantic ParsingElias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.2021 · 15 citations
  90. Multilingual Coreference Resolution in Multiparty DialogueBoyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al.2023 · 11 citations
  91. The Persian Dependency Treebank Made UniversalPegah Safari, Mohammad Sadegh Rasooli, Amirsaeid Moloodi, et al.2022 · 5 citations
  92. High quality machine translation using a machine-learned sentence realization componentMartine Smets, Michael Gamon, Jessie Pinkham, et al.2003 · 3 citations
  93. PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine TranslationLorenzo Proietti, Roman Grundkiewicz, Matt Post2026 · 1 citation

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/companies/microsoft/works/page/2/