Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems

11 October 2022

Papers citing "Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems"

10 / 10 papers shown

Title
Bi-directional Model Cascading with Proxy Confidence David Warren Mark Dras 41 0 0 27 Apr 2025
A Unified Approach to Routing and Cascading for LLMs Jasper Dekoninck Maximilian Baader Martin Vechev 60 2 0 17 Feb 2025
What is the Role of Small Models in the LLM Era: A Survey Lihu Chen Gaël Varoquaux ALM 54 23 0 10 Sep 2024
Language Model Cascades: Token-level uncertainty and beyond Neha Gupta Harikrishna Narasimhan Wittawat Jitkrittum A. S. Rawat A. Menon Sanjiv Kumar UQLM 33 41 0 15 Apr 2024
Unsupervised Natural Language Inference Using PHL Triplet Generation Neeraj Varshney Pratyay Banerjee Tejas Gokhale Chitta Baral 13 9 0 16 Oct 2021
Towards Zero-Label Language Learning Zirui Wang Adams Wei Yu Orhan Firat Yuan Cao SyDa 170 101 0 19 Sep 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,584 0 21 Jan 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 214 571 0 12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018