🧑‍🔬 Who cites Frederique Laforest

196 citations of their works from 196 papers of our library (of the 140,884 whose bibliographies we read) · 24 with a page here, the most cited first · ← Frederique Laforest

1. Language Models as Knowledge Bases?Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 2,977 citations
2. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsTaylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,879 citations
3. Retrieval-Augmented Generation for Large Language Models: A SurveyYunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,647 citations
4. How Can We Know What Language Models Know?Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.2020 · 1,493 citations
5. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 775 citations
6. KILT: a Benchmark for Knowledge Intensive Language TasksFabio Petroni, Aleksandra Piktus, Angela Fan, et al.2020 · 663 citations
7. K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersRuize Wang, Duyu Tang, Nan Duan, et al.2020 · 662 citations
8. Learning How to Ask: Querying LMs with Mixtures of Soft PromptsGuanghui Qin, Jason Eisner2021 · 566 citations
9. Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 496 citations
10. Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot FlyNora Kassner, Hinrich Schütze2020 · 431 citations
11. Event Extraction as Machine Reading ComprehensionJian Liu, Yubo Chen, Kang Liu, et al.2020 · 420 citations
12. Factual Probing Is [MASK]: Learning vs. Learning to RecallZexuan Zhong, Dan Friedman, Danqi Chen2021 · 411 citations
13. Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-trainingOshin Agarwal, Heming Ge, Siamak Shakeri, et al.2021 · 238 citations
14. How Context Affects Language Models' Factual PredictionsFabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.2020 · 231 citations
15. Re2G: Retrieve, Rerank, GenerateMichael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.2022 · 183 citations
16. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
17. Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language ModelsNora Kassner, Philipp Dufter, Hinrich Schütze2021 · 175 citations
18. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
19. Simple Entity-Centric Questions Challenge Dense RetrieversChristopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al.2021 · 168 citations
20. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
21. Large Language Models with Controllable Working MemoryDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 154 citations
22. DART: Open-Domain Structured Data Record to Text GenerationLinyong Nan, Dragomir Radev, Rui Zhang, et al.2020 · 154 citations
23. RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
24. Contrastively Pre-trained Event Embeddings with Schema-free LLM AnnotationsFrank Mtumbuka, Steven Schockaert2026

172 more citing papers of our library have no page here yet.

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