Summary of A Fast, Performant, Secure Distributed Training Framework For Large Language Model, by Wei Huang et al.
A Fast, Performant, Secure Distributed Training Framework For Large Language Modelby Wei Huang, Yinggui Wang,…
A Fast, Performant, Secure Distributed Training Framework For Large Language Modelby Wei Huang, Yinggui Wang,…
Activations and Gradients Compression for Model-Parallel Trainingby Mikhail Rudakov, Aleksandr Beznosikov, Yaroslav Kholodov, Alexander GasnikovFirst…
Graph Language Modelsby Moritz Plenz, Anette FrankFirst submitted to arxiv on: 13 Jan 2024CategoriesMain: Computation…
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundaneseby…
Few-Shot Detection of Machine-Generated Text using Style Representationsby Rafael Rivera Soto, Kailin Koch, Aleem Khan,…
Mission: Impossible Language Modelsby Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher PottsFirst submitted…
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representationsby Zhihui Xie, Handong Zhao, Tong Yu, Shuai LiFirst…
Investigating Data Contamination for Pre-training Language Modelsby Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan…
Can Active Label Correction Improve LLM-based Modular AI Systems?by Karan Taneja, Ashok GoelFirst submitted to…
Evaluating Language Model Agency through Negotiationsby Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard,…