Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelismby…
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensationby Yeonhong Park, Jake Hyun, Hojoon…
Can AI Help with Your Personal Finances?by Oudom Hean, Utsha Saha, Binita SahaFirst submitted to…
Gradient Weight-normalized Low-rank Projection for Efficient LLM Trainingby Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan…
Label Privacy in Split Learning for Large Models with Parameter-Efficient Trainingby Philip Zmushko, Marat Mansurov,…
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classificationby Tanjim Bin…
A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Modelsby Ferit…
LMFusion: Adapting Pretrained Language Models for Multimodal Generationby Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin…
Adaptive Pruning for Large Language Models with Structural Importance Awarenessby Haotian Zheng, Jinke Ren, Yushan…
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LNby Pengxiang Li, Lu…