Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of
Language Model

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

24 May 2023

Daochen Zha

Papers citing "Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model"

6 / 6 papers shown

Title
Liger Kernel: Efficient Triton Kernels for LLM Training Pin-Lun Hsu Yun Dai Vignesh Kothapalli Qingquan Song Shao Tang Siyu Zhu Steven Shimizu Shivam Sahni Haowen Ning Yanning Chen 35 24 0 14 Oct 2024
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference Zirui Liu Qingquan Song Q. Xiao Sathiya Keerthi Selvaraj Rahul Mazumder Aman Gupta Xia Hu 13 4 0 08 Jan 2024
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang Hongye Jin Ruixiang Tang Xiaotian Han Qizhang Feng Haoming Jiang Bing Yin Xia Hu LM&MA 123 593 0 26 Apr 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020
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