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Fundamental Limits on Energy-Delay-Accuracy of In-memory Architectures in Inference Applications., , , and . CoRR, (2020)Cross-layer methods for energy-efficient inference using in-memory architectures. University of Illinois Urbana-Champaign, USA, (2020)Bifurcated Attention for Single-Context Large-Batch Sampling., , , , , , , , , and 3 other author(s). CoRR, (2024)A 42pJ/decision 3.12TOPS/W robust in-memory machine learning classifier with on-chip training., , and . ISSCC, page 490-492. IEEE, (2018)Token Alignment via Character Matching for Subword Completion., , , , , , , , , and . CoRR, (2024)IMPQ: Reduced Complexity Neural Networks Via Granular Precision Assignment., and . ICASSP, page 66-70. IEEE, (2022)Multi-lingual Evaluation of Code Generation Models., , , , , , , , , and 10 other author(s). ICLR, OpenReview.net, (2023)Multi-lingual Evaluation of Code Generation Models., , , , , , , , , and 15 other author(s). CoRR, (2022)PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration., , , , , and . DATE, page 1-6. IEEE, (2023)Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study., , , , , , , , , and 6 other author(s). ESEC/SIGSOFT FSE, page 224-236. ACM, (2023)