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most citedPuzzle: Distillation-Based NAS for Inference-Optimized LLMs

2 citations · 4 across the 18 of their papers we have counts for

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cs.LG2024★ 2 cited

Puzzle: Distillation-Based NAS for Inference-Optimized LLMs

Akhiad Bercovich, Tomer Ronen, Talor Abramovich +23

Large language models (LLMs) offer remarkable capabilities, yet their high inference costs restrict wider adoption. While increasing parameter counts improves accuracy, it also bro…

cs.LG2024

Hierarchical Selective Classification

Shani Goren, Ido Galil, Ran El-Yaniv

Deploying deep neural networks for risk-sensitive tasks necessitates an uncertainty estimation mechanism. This paper introduces hierarchical selective classification, extending sel…