Results 31 to 40 of about 227,550 (285)

The health of SUSY after the Higgs discovery and the XENON100 data [PDF]

, 2013
We analyze the implications for the status and prospects of supersymmetry of the Higgs discovery and the last XENON data. We focus mainly, but not only, on the CMSSM and NUHM models.
Cabrera, Maria Eugenia, Casas, J. Alberto, de Austri, Roberto Ruiz   +2 more
core   +3 more sources

Frozen Weights as Prior for Parameter-Efficient Fine-Tuning

IEEE Access
In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach often comes with
Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan, Ningning Ma, Wenqiang Liu, Xuefang Wang, Ruichun Tang   +7 more
doaj   +1 more source

Two-Stage Inflation in Supergravity [PDF]

, 1998
We investigate the viability of a two-stage inflationary scenario in the context of supergravity, so as to resolve the problem of initial conditions for hybrid inflation.
A. A. Starobinsky, A. D. Linde, A. D. Linde, A. D. Linde, A. D. Linde, A. H. Guth, A. R. Liddle, A. Vilenkin, A. Vilenkin, C. Panagiotakopoulos, C. Panagiotakopoulos, D. H. Lyth, D. H. Lyth, D. H. Lyth, D. S. Goldwirth, E. Cremmer, E. Cremmer, E. Cremmer, E. Cremmer, E. D. Stewart, E. Halyo, E. J. Copeland, E. Kolb, E. Witten, E. Witten, G. Dvali, G. Lazarides, G. Lazarides, G. Lazarides, G. Lazarides, J. A. Adams, J. A. Adams, J. A. Casas, J. A. Casas, J. A. Casas, J. Atick, J. Bagger, J. Garcia-Bellido, M. Dine, N. Tetradis, N. Tetradis, P. Binétruy, S. Dimopoulos, S. W. Hawking, T. S. Bunch   +44 more
core   +4 more sources

Enhancing LoRA Model Serving Capacity via Adaptive Operator Scheduling for Multi-Tenancy on GPU

IEEE Access
Low-Rank Adaptation (LoRA) has garnered increasing attention for effectively fine-tuning large language models (LLMs) with limited resources. Nonetheless, conventional approaches that cater to multiple LoRA models independently lead to redundant ...
Lingnan Xia, Hua Ma
doaj   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Parameter-Efficient Fine-Tuning via Circular Convolution

Findings of the Association for Computational Linguistics: ACL 2025
ACL ...
Chen, Aochuan, Cheng, Jiashun, Liu, Zijing, Gao, Ziqi, Tsung, Fugee, Li, Yu, Li, Jia   +6 more
openaire   +2 more sources

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology

Frontiers in Artificial Intelligence
IntroductionGenerating physician letters is a time-consuming task in daily clinical practice.MethodsThis study investigates local fine-tuning of large language models (LLMs), specifically LLaMA models, for physician letter generation in a privacy ...
Yihao Hou, Yihao Hou, Christoph Bert, Christoph Bert, Christoph Bert, Ahmed Gomaa, Ahmed Gomaa, Ahmed Gomaa, Godehard Lahmer, Godehard Lahmer, Godehard Lahmer, Daniel Höfler, Daniel Höfler, Daniel Höfler, Thomas Weissmann, Thomas Weissmann, Thomas Weissmann, Raphaela Voigt, Raphaela Voigt, Raphaela Voigt, Philipp Schubert, Philipp Schubert, Philipp Schubert, Charlotte Schmitter, Charlotte Schmitter, Charlotte Schmitter, Alina Depardon, Alina Depardon, Alina Depardon, Sabine Semrau, Sabine Semrau, Sabine Semrau, Andreas Maier, Rainer Fietkau, Rainer Fietkau, Rainer Fietkau, Yixing Huang, Yixing Huang, Florian Putz, Florian Putz, Florian Putz   +40 more
doaj   +1 more source

Explore the Principles of Prompt Tuning and the Progress of Research [PDF]

ITM Web of Conferences
Prompt Tuning is a lightweight fine-tuning method that demonstrates efficient task adaptation and parameter efficiency for pre-trained language models (PLMs). Prompt Tuning highlights an important contribution to the advancement of NLP technology.
Zheng Tongxin
doaj   +1 more source