Summary of Sparsegrad: a Selective Method For Efficient Fine-tuning Of Mlp Layers, by Viktoriia Chekalina et al.
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layersby Viktoriia Chekalina, Anna Rudenko, Gleb…
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layersby Viktoriia Chekalina, Anna Rudenko, Gleb…
LoRTA: Low Rank Tensor Adaptation of Large Language Modelsby Ignacio Hounie, Charilaos Kanatsoulis, Arnuv Tandon,…
Abstractive Summarization of Low resourced Nepali language using Multilingual Transformersby Prakash Dhakal, Daya Sagar BaralFirst…
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HM3: Heterogeneous Multi-Class Model Mergingby Stefan HackmannFirst submitted to arxiv on: 27 Sep 2024CategoriesMain: Computation…
Cross-Domain Content Generation with Domain-Specific Small Language Modelsby Ankit Maloo, Abhinav GargFirst submitted to arxiv…
DiSHA: Dimension-Sharding Adaptation of Large Language Models with Fast Convergence and Fast Computationby Jiale KangFirst…
jina-embeddings-v3: Multilingual Embeddings With Task LoRAby Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther,…
Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile Instructionsby Lingwei Meng, Shujie…
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacherby Trung Dao, Thuan Hoang…