Results 241 to 250 of about 2,403,325 (304)
Some of the next articles are maybe not open access.
Fine-tuning neuromodulation by adenosine
Trends in Pharmacological Sciences, 2000In addition to its direct pre- and postsynaptic actions on neurones, adenosine is rich in nuances of priming, triggering and inhibiting the action of several neurotransmitters and neuromodulators. These actions are mediated by membrane adenosine receptors (A1, A2 and A3) and involve receptor-receptor interactions, which require, in most cases, the ...
Ana M Sebastiao, J A Ribeiro
exaly +3 more sources
2018
Abstract This chapter argues that the fine-tuning argument for the existence of God is a straightforwardly legitimate argument. The fine-tuning argument takes certain features of fundamental physics to confirm the existence of God because these features of fundamental physics are more likely given the existence of God than they are given
Hawthorne, John, Isaacs, Yoaav
openaire +2 more sources
Abstract This chapter argues that the fine-tuning argument for the existence of God is a straightforwardly legitimate argument. The fine-tuning argument takes certain features of fundamental physics to confirm the existence of God because these features of fundamental physics are more likely given the existence of God than they are given
Hawthorne, John, Isaacs, Yoaav
openaire +2 more sources
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning
IEEE Transactions on Audio, Speech, and Language Processing, 2023Catastrophic forgetting (CF) is a phenomenon that occurs in machine learning when a model forgets previously learned information while acquiring new knowledge for achieving satisfactory performance in downstream tasks.
Yun Luo +5 more
semanticscholar +1 more source
Fine-tuning the brain: MicroRNAs
Frontiers in Neuroendocrinology, 2010The brain is of bewildering complexity and numerous genes and signaling molecules have been described that affect the architecture and functioning of specific neuronal circuits. Recent evidence from genome analysis revealed the existence of a large group of novel RNA molecules with unexpected properties.
Vreugdenhil, E., Berezikov, E.
openaire +3 more sources
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
RoboticsRecent vision-language-action models (VLAs) build upon pretrained vision-language models and leverage diverse robot datasets to demonstrate strong task execution, language following ability, and semantic generalization.
Moo Jin Kim, Chelsea Finn, Percy Liang
semanticscholar +1 more source
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Annual Meeting of the Association for Computational LinguisticsEfficient fine-tuning is vital for adapting large language models (LLMs) to downstream tasks. However, it requires non-trivial efforts to implement these methods on different models. We present LlamaFactory, a unified framework that integrates a suite of
Yaowei Zheng +5 more
semanticscholar +1 more source
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
Annual Meeting of the Association for Computational LinguisticsRecently, long-thought reasoning LLMs, such as OpenAI's O1, adopt extended reasoning processes similar to how humans ponder over complex problems. This reasoning paradigm significantly enhances the model's problem-solving abilities and has achieved ...
Haotian Luo +8 more
semanticscholar +1 more source
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Trans. Mach. Learn. Res.Large models represent a groundbreaking advancement in multiple application fields, enabling remarkable achievements across various tasks. However, their unprecedented scale comes with significant computational costs.
Zeyu Han +4 more
semanticscholar +1 more source
arXiv.org
Recent advancements in Vision-Language-Action (VLA) models have shown promise for end-to-end autonomous driving by leveraging world knowledge and reasoning capabilities. However, current VLA models often struggle with physically infeasible action outputs,
Zewei Zhou +6 more
semanticscholar +1 more source
Recent advancements in Vision-Language-Action (VLA) models have shown promise for end-to-end autonomous driving by leveraging world knowledge and reasoning capabilities. However, current VLA models often struggle with physically infeasible action outputs,
Zewei Zhou +6 more
semanticscholar +1 more source