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Who cites Jannis Bulian

268 citations of their works from 266 papers of our library (of the 141,840 whose bibliographies we read) · 39 with a page here, the most cited first · ← Jannis Bulian

  1. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,680 citations
  2. Scaling Instruction-Finetuned Language ModelsarXiv:2210.11416Hyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 3,339 citations
  3. Crosslingual Generalization through Multitask FinetuningarXiv:2211.01786Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
    A Survey on Automated Fact-CheckingTransactions of the Association for Computational Linguistics (TACL)Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
  4. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 594 citations
  5. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
  6. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
  7. Datasets: A Community Library for Natural Language ProcessingarXiv:2109.02846Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.2021 · 359 citations
  8. PaLI: A Jointly-Scaled Multilingual Language-Image ModelarXiv:2209.06794Xi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 341 citations
  9. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 335 citations
  10. BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsNeurIPS 2021 Datasets and BenchmarksNandan Thakur, Nils Reimers, Andreas Rücklé, et al.2021 · 262 citations
  11. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  12. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  13. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 143 citations
  14. TALM: Tool Augmented Language ModelsarXiv:2205.12255Aaron Parisi, Yao Zhao, Noah Fiedel2022 · 142 citations
  15. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  16. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackarXiv:2305.10425Yao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
    Task-aware Retrieval with InstructionsFindings of the Association for Computational LinguisticsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
    MetricX-23: The Google Submission to the WMT 2023 Metrics Shared TaskConference on Machine Translation (WMT)Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.2023 · 118 citations
  17. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 101 citations
  18. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 70 citations
  19. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningarXiv:2309.05444Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.2023 · 66 citations

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