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Who cites Richard S. Zemel

4,711 citations of their works from 4,143 papers of our library (of the 149,439 whose bibliographies we read) · 622 with a page here, the most cited first · page 4 of 7 · 301–400 · ← Richard S. Zemel

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  1. Learning a SAT Solver from Single-Bit SupervisionarXiv:1802.03685Daniel Selsam, Matthew Lamm, Benedikt Bünz, et al.2018 · 232 citations
  2. Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
  3. A Diagram Is Worth A Dozen ImagesarXiv:1603.07396Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.2016 · 231 citations
  4. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
  5. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsarXiv:2308.16149Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 218 citations
  6. Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLParXiv:2103.00453Timo Schick, Sahana Udupa, Hinrich Schutze2021 · 213 citations
  7. WT5?! Training Text-to-Text Models to Explain their PredictionsarXiv:2004.14546Sharan Narang, Colin Raffel, Katherine Lee, et al.2020 · 199 citations
  8. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  9. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
  10. Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt CollectionsarXiv:2104.04670Ruiqi Zhong, Kristy Lee, Zheng Zhang, et al.2021 · 195 citations
  11. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 193 citations
  12. Representation of Linguistic Form and Function in Recurrent Neural NetworksComputational LinguisticsÁkos Kádár, Grzegorz Chrupała, Afra Alishahi2017 · 192 citations
  13. Supervised and Unsupervised Neural Approaches to Text ReadabilityComputational LinguisticsMatej Martinc, Senja Pollak, Marko Robnik-Šikonja2021 · 190 citations
  14. Grounded Language Learning in a Simulated 3D WorldarXiv:1706.06551Karl Moritz Hermann, Felix Hill, Simon Green, et al.2017 · 190 citations
  15. ELEPHANT: Measuring and understanding social sycophancy in LLMsScienceMyra Cheng, Sunny Yu, Cinoo Lee, et al.2025 · 188 citations
  16. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  17. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
  18. StructBERT: Incorporating Language Structures into Pre-training for Deep Language UnderstandingarXiv:1908.04577Wei Wang, Bin Bi, Ming Yan, et al.2019 · 175 citations
  19. Diffusion Policy: Visuomotor Policy Learning via Action DiffusionarXiv:2303.04137Cheng Chi, Zhenjia Xu, Siyuan Feng, et al.2023 · 173 citations
  20. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
  21. Zero-Shot Cross-Lingual Transfer with Meta LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, et al.2020 · 171 citations
  22. A Survey of Machine Learning for Big Code and NaturalnessACM Computing SurveysMiltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.2017 · 167 citations
  23. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
  24. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
  25. Semantic Neural Machine Translation Using AMRLinfeng Song, Daniel Gildea, Yue Zhang, et al.2019 · 159 citations
  26. Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingarXiv:2210.03347Kenton Lee, Mandar Joshi, Iulia Turc, et al.2022 · 158 citations
  27. Towards a Cleaner Document-Oriented Multilingual Crawled CorpusLanguage Resources and Evaluation Conference (LREC)Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 156 citations
  28. Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 citations
  29. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
  30. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  31. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  32. Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsarXiv:2210.01504Joel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 131 citations
  33. A Comprehensive Assessment of Dialog Evaluation MetricsThe First Workshop on Evaluations and Assessments of Neural Conversation SystemsYi-Ting Yeh, Maxine Eskenazi, Shikib Mehri2021 · 128 citations
  34. Learning to Represent Programs with GraphsarXiv:1711.00740Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi2017 · 127 citations
  35. Nomic Embed: Training a Reproducible Long Context Text EmbedderarXiv:2402.01613Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 126 citations
  36. Finding Neurons in a Haystack: Case Studies with Sparse ProbingarXiv:2305.01610Wes Gurnee, Neel Nanda, Matthew Pauly, et al.2023 · 123 citations
  37. Encode, Tag, Realize: High-Precision Text EditingarXiv:1909.01187Eric Malmi, Sebastian Krause, Sascha Rothe, et al.2019 · 120 citations
  38. Sarcasm Analysis Using Conversation ContextComputational LinguisticsDebanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan2018 · 119 citations

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