🧑🔬 Luke Zettlemoyer — papers of 2023 — Elamur Research16 papers · all years of Luke ZettlemoyerQLoRA: Efficient Finetuning of Quantized LLMsConference on Neural Information Processing Systems (NeurIPS)Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.2023 · 2,929 citationsToolformer: Language Models Can Teach Themselves to Use ToolsConference on Neural Information Processing Systems (NeurIPS)Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,065 citationsFActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citationsREPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citationsTowards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersAnnual Meeting of the Association for Computational Linguistics (ACL)Boshi Wang, Sewon Min, Xiang Deng, et al.2023 · 272 citationsThe Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 262 citationsIn-context Examples Selection for Machine TranslationFindings of the Association for Computational LinguisticsSweta Agrawal, Chunting Zhou, Mike Lewis, et al.2023 · 243 citationsRA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citationsSelf-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citationsXLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Davis Liang, Hila Gonen, Yuning Mao, et al.2023 · 120 citationsDictionary-based Phrase-level Prompting of Large Language Models for Machine TranslationarXiv:2302.07856Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer2023 · 95 citationsCREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu, Sewon Min, Luke Zettlemoyer, et al.English · 66 citationsQuestions Are All You Need to Train a Dense Passage RetrieverTransactions of the Association for Computational Linguistics (TACL)Devendra Singh Sachan, Mike Lewis, Dani Yogatama, et al.2023 · 65 citationsIn-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citationsShepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citationsScaling Laws for Generative Mixed-Modal Language ModelsarXiv:2301.03728Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 45 citationsThis page in Markdown → https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/year/2023/