Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?

26 August 2021

Papers citing "Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?"

4 / 4 papers shown

Title
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs Da Silva Gameiro Henrique Andrei Kucharavy R. Guerraoui DeLMO 14 7 0 18 Apr 2023
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense Andrei Kucharavy Z. Schillaci Loic Maréchal Maxime Wursch Ljiljana Dolamic Remi Sabonnadiere Dimitri Percia David Alain Mermoud Vincent Lenders ELM AI4CE 30 31 0 21 Mar 2023
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 177 414 0 18 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016