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Who cites «Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer»

7,433 papers of our library cite it (of the 140,884 whose bibliographies we read) · 592 with a page here, the most cited first · page 1 of 6 · 1–100 · ← the paper

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  48. GLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,449 citations
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  50. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,423 citations
  51. Language-agnostic BERT Sentence EmbeddingFangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.2020 · 1,412 citations
  52. Code Llama: Open Foundation Models for CodeBaptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,399 citations
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  61. M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlv Chen, Shitao Xiao, Peitian Zhang, et al.2024 · 1,196 citations
  62. Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order SensitivityYao Lu, Max Bartolo, Alastair Moore, et al.2022 · 1,187 citations
  63. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
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  98. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
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