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Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference
  in Low Resource Settings

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings

Annual Meeting of the Association for Computational Linguistics (ACL), 2023
4 June 2023
Daniel Rotem
Michael Hassid
Jonathan Mamou
Roy Schwartz
ArXiv (abs)PDFHTML

Papers citing "Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings"

5 / 5 papers shown
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
432
4
0
13 Mar 2025
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
Yiwu Zhong
Zhuoming Liu
Yin Li
Liwei Wang
426
21
0
04 Dec 2024
LLM Inference Unveiled: Survey and Roofline Model Insights
LLM Inference Unveiled: Survey and Roofline Model Insights
Zhihang Yuan
Yuzhang Shang
Yang Zhou
Zhen Dong
Zhe Zhou
...
Yong Jae Lee
Yan Yan
Beidi Chen
Guangyu Sun
Kurt Keutzer
629
149
0
26 Feb 2024
Understanding the Training Speedup from Sampling with Approximate Losses
Understanding the Training Speedup from Sampling with Approximate LossesInternational Conference on Machine Learning (ICML), 2024
Rudrajit Das
Xi Chen
Bertram Ieong
Parikshit Bansal
Sujay Sanghavi
191
4
0
10 Feb 2024
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
S. Hor
Ying Qian
Mert Pilanci
Amin Arbabian
186
1
0
06 Feb 2024
1
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