Anagnostidis, S., Pavllo, D., Biggio, L., Noci, L., Lucchi, A., & Hofmann, T. (2023). Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers.
Chicago Style (17th ed.) CitationAnagnostidis, Sotiris, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurelien Lucchi, and Thomas Hofmann. Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. 2023.
MLA (9th ed.) CitationAnagnostidis, Sotiris, et al. Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. 2023.
Warning: These citations may not always be 100% accurate.