🧑‍🔬 Who cites Jesse Dodge

620 citations of their works from 590 papers of our library (of the 141,840 whose bibliographies we read) · 46 with a page here, the most cited first · ← Jesse Dodge

1. Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 13,703 citations
2. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
3. Personalizing Dialogue Agents: I have a dog, do you have pets too?Saizheng Zhang, Emily Dinan, Jack Urbanek, et al.2018 · 1,849 citations
4. Pre-trained Models for Natural Language Processing: A SurveyXipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,753 citations
5. Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
6. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
7. DailyDialog: A Manually Labelled Multi-turn Dialogue DatasetYanran Li, Hui Su, Xiaoyu Shen, et al.2017 · 1,202 citations
8. It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersTimo Schick, Hinrich Schütze2021 · 1,122 citations
9. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 821 citations
10. Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 429 citations
11. Deal or No Deal? End-to-End Learning of Negotiation DialoguesMike Lewis, Denis Yarats, Yann Dauphin, et al.2017 · 421 citations
12. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
13. Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary SpaceMor Geva, Avi Caciularu, Kevin Ro Wang, et al.2022 · 342 citations
14. Training Millions of Personalized Dialogue AgentsPierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, et al.2018 · 335 citations
15. Quantifying the Carbon Emissions of Machine LearningAlexandre Lacoste, Alexandra Luccioni, Victor Schmidt, et al.2019 · 325 citations
16. Carbon Emissions and Large Neural Network TrainingDavid Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 305 citations
17. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
18. ConveRT: Efficient and Accurate Conversational Representations from TransformersMatthew Henderson, Iñigo Casanueva, Nikola Mrkšić, et al.2020 · 268 citations
19. TLDR: Extreme Summarization of Scientific DocumentsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 260 citations
20. How Can We Accelerate Progress Towards Human-like Linguistic Generalization?Tal Linzen2020 · 258 citations
21. Interpreting Pretrained Contextualized Representations via Reductions to Static EmbeddingsRishi Bommasani, Kelly Davis, Claire Cardie2020 · 248 citations
22. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
23. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
24. Towards Exploiting Background Knowledge for Building Conversation SystemsNikita Moghe, Siddhartha Arora, Suman Banerjee, et al.2018 · 242 citations
25. Towards Conversational Recommendation over Multi-Type DialogsZeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.2020 · 230 citations
26. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsYi Zeng, Hongpeng Lin, Jingwen Zhang, et al.2024 · 201 citations
27. The Right Tool for the Job: Matching Model and Instance ComplexitiesRoy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 194 citations
28. Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisSaif M. Mohammad2022 · 164 citations
29. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
30. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
31. Towards a Cleaner Document-Oriented Multilingual Crawled CorpusJulien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 155 citations
32. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
33. Efficient Methods for Natural Language Processing: A SurveyMarcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
34. Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
35. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
36. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesShane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
37. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
38. A Survey on Data Selection for Language ModelsAlon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
39. Do Membership Inference Attacks Work on Large Language Models?Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 80 citations
40. Chinese Zero Pronoun Resolution with Deep Memory NetworkQingyu Yin, Yu Zhang, Weinan Zhang, et al.2017 · 55 citations
41. Scaling Within Document Coreference to Long TextsRaghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, et al.2021 · 24 citations
42. JABER and SABER: Junior and Senior Arabic BERtAbbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
43. HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech DetectionIrina Proskurina, Marc-Antoine Carpentier, Julien Velcin2026
44. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentMarion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
45. Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable ResearchIsmail Akzam, Mohammad Ikhwan Bin Abdullah2026
46. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026

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