Results 91 to 100 of about 459,286 (299)

ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers

As large language models (LLMs) grow in size, traditional full fine-tuning becomes increasingly impractical due to its high computational and storage costs. Although popular parameter-efficient fine-tuning methods, such as LoRA, have significantly reduced the number of tunable parameters, there is still room for further optimization.
Hu, Junyan, Xiao, Xue, Zhang, Mengqi, Chen, Yao, Ren, Zhaochun, Chen, Zhumin, Ren, Pengjie   +6 more
openaire   +2 more sources

PICALM::MLLT10 translocated leukemia

FEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen, Antonia C. Nakatsugawa, Natalie Barton, Henry Haines, Gary S. Stein, Janet L. Stein, Daniel S. Wechsler, Jessica L. Heath   +7 more
wiley   +1 more source

Low-Rank RNN Adaptation for Context-Aware Language Modeling

Transactions of the Association for Computational Linguistics, 2021
Aaron Jaech, Mari Ostendorf
doaj   +1 more source

Lottery Rank-Pruning Adaptation Parameter Efficient Fine-Tuning

Mathematics
Recent studies on parameter-efficient fine-tuning (PEFT) have introduced effective and efficient methods for fine-tuning large language models (LLMs) on downstream tasks using fewer parameters than required by full fine-tuning.
Juhyeong Kim, Gyunyeop Kim, Sangwoo Kang
doaj   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

FEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson, Mackenzie K Herroon, Shane Mecca, Laimar C Garmo, Jacob Lindquist, Shrila Rajendran, Steve M. Patrick, Izabela Podgorski   +7 more
wiley   +1 more source

Artificial Neural Network for Glider Detection in a Marine Environment by Improving a CNN Vision Encoder

Journal of Marine Science and Engineering
Despite major economic and technological advances, much of the ocean remains unexplored, which has led to the use of remotely operated vehicles (ROVs) and gliders for surveying. ROVs and underwater gliders are essential for ocean data collection. Gliders,
Jungwoo Lee, Ji-Hyun Park, Jeong-Hwan Hwang, Kyoungseok Noh, Youngho Choi, Jinho Suh   +5 more
doaj   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

Learning to Generate Urban Design Images From the Conditional Latent Diffusion Model

IEEE Access
With the rapid process of computer vision and deep learning, image synthesis models, such as the latent diffusion models, have exhibited remarkable performances in producing high-quality and realistic results.
Xiaotang Cui, Xiao Feng, Siwen Sun
doaj   +1 more source

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Toward Low-Resource Languages Machine Translation: A Language-Specific Fine-Tuning With LoRA for Specialized Large Language Models

IEEE Access
In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to high-resource languages.
Xiao Liang, Yen-Min Jasmina Khaw, Soung-Yue Liew, Tien-Ping Tan, Donghong Qin   +4 more
doaj   +1 more source