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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 5 of 7 · 401–500 · ← Richard S. Zemel

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  1. Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language ModelarXiv:1912.09637Wenhan Xiong, Jingfei Du, William Yang Wang, et al.2019 · 117 citations
  2. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
  3. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  4. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
  5. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  6. Parallel Iterative Edit Models for Local Sequence TransductionarXiv:1910.02893Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, et al.2019 · 112 citations
  7. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
  8. 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
  9. Reducing Sentiment Bias in Language Models via Counterfactual EvaluationarXiv:1911.03064Po-Sen Huang, Huan Zhang, Ray Jiang, et al.2019 · 104 citations
  10. AnglE-optimized Text EmbeddingsarXiv:2309.12871Xianming Li, Jing Li2023 · 103 citations
  11. minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language ModelsarXiv:2203.13112Kanishka Misra2022 · 102 citations
  12. Are Transformers universal approximators of sequence-to-sequence functions?arXiv:1912.10077Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, et al.2019 · 97 citations
  13. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  14. Training Socially Aligned Language Models on Simulated Social InteractionsarXiv:2305.16960Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.2023 · 94 citations
  15. Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
  16. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  17. hULMonA: The Universal Language Model in ArabicArabic Natural Language Processing Workshop (WANLP)Obeida ElJundi, Wissam Antoun, Nour El Droubi, et al.2019 · 89 citations
  18. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  19. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  20. ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper ReviewingarXiv:2306.00622Ryan Liu, Nihar B. Shah2023 · 84 citations
  21. AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelarXiv:2208.01448Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, et al.2022 · 84 citations
  22. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
  23. Doubly-Attentive Decoder for Multi-modal Neural Machine TranslationarXiv:1702.01287Iacer Calixto, Qun Liu, Nick Campbell2017 · 82 citations
  24. Repetition Improves Language Model EmbeddingsarXiv:2402.15449Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, et al.2024 · 73 citations
  25. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
  26. ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive EvaluationarXiv:2306.09968Guangyu Wang, Guoxing Yang, Zongxin Du, et al.2023 · 70 citations
  27. Characterizing the dynamics of learning in repeated reference gamesCognitive ScienceRobert D. Hawkins, Michael C. Frank, Noah D. Goodman2019 · 67 citations
  28. Automatic Story Generation: Challenges and AttemptsWorkshop on Narrative UnderstandingAmal Alabdulkarim, Siyan Li, Xiangyu Peng2021 · 61 citations
  29. Bias in Large Language Models: Origin, Evaluation, and MitigationElectronicsYufei Guo, Muzhe Guo, Juntao Su, et al.2024 · 58 citations
  30. English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 54 citations
  31. Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
  32. Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generationThiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.2017 · 47 citations
  33. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  34. The ROOTS Search Tool: Data Transparency for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Aleksandra Piktus, Christopher Akiki, Paulo Villegas, et al.2023 · 42 citations
  35. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  36. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
  37. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  38. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationarXiv:2112.15283Han Zhang, Weichong Yin, Yewei Fang, et al.2021 · 33 citations
  39. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red TeamingarXiv:2501.18837Mrinank Sharma, Meg Tong, Jesse Mu, et al.2025 · 29 citations
  40. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  41. ERNIE-Doc: A Retrospective Long-Document Modeling TransformerarXiv:2012.15688Siyu Ding, Junyuan Shang, Shuohuan Wang, et al.2020 · 27 citations
  42. Predicting In-Game Actions from Interviews of NBA PlayersComputational LinguisticsNadav Oved, Amir Feder, Roi Reichart2020 · 24 citations
  43. MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)Enrique Manjavacas Arevalo, Lauren Fonteyn2021 · 23 citations
  44. ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language UnderstandingarXiv:2010.12148Dongling Xiao, Yu-Kun Li, Han Zhang, et al.2020 · 22 citations
  45. NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations

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