Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Anselm Levskaya; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (CoRR, 2022)

Efficiently Scaling Transformer Inference. - Reiner Pope; Sholto Douglas; Aakanksha Chowdhery; Jacob Devlin; James Bradbury; Jonathan Heek; Kefan Xiao; Shivani Agrawal; Jeff Dean (MLSys, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

SPIRe: Boosting LLM Inference Throughput with Speculative Decoding. - Sanjit Neelam; Daniel Heinlein; Vaclav Cvicek; Akshay Mishra; Reiner Pope (CoRR, 2025)