Elamur Research⌕
☰
home / papers / A large annotated corpus for learning natural… / cited by / page 2

Who cites «A large annotated corpus for learning natural language inference»

2008 papers of our library cite it (of the 149,439 whose bibliographies we read) · 427 with a page here, the most cited first · page 2 of 5 · 101–200 · ← back to «A large annotated corpus for learning natural language inference»

1 2 3 4 5

  1. Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 309 citations
  2. ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 286 citations
  3. COVIDLies: Detecting COVID-19 Misinformation on Social MediaWorkshop on NLP for COVID-19 at ACLTamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, et al.2020 · 271 citations
  4. Learning and Evaluating General Linguistic IntelligencearXiv:1901.11373Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, et al.2019 · 248 citations
  5. Transforming Question Answering Datasets Into Natural Language Inference DatasetsarXiv:1809.02922Dorottya Demszky, Kelvin Guu, Percy Liang2018 · 220 citations
  6. FOLIO: Natural Language Reasoning with First-Order LogicarXiv:2209.00840Simeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 219 citations
  7. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4arXiv:2304.03439Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 217 citations
  8. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
  9. Data-Driven Sentence Simplification: Survey and BenchmarkComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
  10. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelinearXiv:2406.11939Tianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 210 citations
  11. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
  12. Towards Faithful Model Explanation in NLP: A SurveyComputational LinguisticsQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 197 citations
  13. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
  14. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
  15. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  16. Learning To Use Formulas To Solve Simple Arithmetic ProblemsArindam Mitra, Chitta Baral2016 · 178 citations
  17. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
  18. Reasoning Over Paragraph Effects in SituationsWorkshop on Machine Reading for Question AnsweringKevin Lin, Oyvind Tafjord, Peter Clark, et al.2019 · 176 citations
  19. StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingarXiv:1908.04577Wei Wang, Bin Bi, Ming Yan, et al.2019 · 175 citations
  20. PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsarXiv:2202.01279Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.2022 · 174 citations
  21. Social Bias in Elicited Natural Language InferencesACL Workshop on Ethics in Natural Language ProcessingRachel Rudinger, Chandler May, Benjamin Van Durme2017 · 170 citations
  22. Language models show human-like content effects on reasoning tasksarXiv:2207.07051Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, et al.2022 · 162 citations
  23. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  24. Understanding tables with intermediate pre-trainingFindings of the Association for Computational LinguisticsJulian Eisenschlos, Syrine Krichene, Thomas Müller2020 · 158 citations
  25. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningarXiv:2212.07919Olga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 155 citations
  26. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 152 citations
  27. A Review on Language Models as Knowledge BasesarXiv:2204.06031Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, et al.2022 · 150 citations
  28. OCNLI: Original Chinese Natural Language InferencearXiv:2010.05444Hai Hu, Kyle Richardson, Liang Xu, et al.2020 · 148 citations
  29. HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentComputational LinguisticsIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
  30. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 138 citations

1 2 3 4 5

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/bowman-2015-large-annotated-corpus-learning-natural/cited-by/page/2/