Results 31 to 40 of about 2,403,325 (304)
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e.g., ChatDoctor) or ...
Zhiqiang Hu +7 more
semanticscholar +1 more source
Adaptive multi-source domain collaborative fine-tuning for transfer learning [PDF]
PeerJ Computer ScienceFine-tuning is an important technique in transfer learning that has achieved significant success in tasks that lack training data. However, as it is difficult to extract effective features for single-source domain fine-tuning when the data distribution ...
Le Feng +7 more
doaj +2 more sources
The current status of fine-tuning in supersymmetry
Journal of High Energy Physics, 2020 In this paper, we minimize and compare two different fine-tuning measures in four high-scale supersymmetric models that are embedded in the MSSM. In addition, we determine the impact of current and future dark matter direct detection and collider ...
Melissa van Beekveld +2 more
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Visual-RFT: Visual Reinforcement Fine-Tuning [PDF]
IEEE International Conference on Computer VisionReinforcement Fine-Tuning (RFT) in Large Reasoning Models like OpenAI ol learns from feedback on its answers, which is especially useful in applications when fine-tuning data is scarce.
Ziyu Liu +7 more
semanticscholar +1 more source
Cell Stem Cell, 2010 Polycomb Repressive Complex 2 (PRC2) modifies chromatin to silence many embryonic patterning genes, restricting their expression to the appropriate cell populations. Two reports in Cell by Peng et al. (2009) and Shen et al. (2009) identify Jarid2/Jumonji, a new component of PRC2, which inhibits PRC2 enzymatic activity to fine-tune silencing.
openaire +2 more sources
Fine tuning in neuraxial subarachnoid anesthesia [PDF]
Romanian Journal of Medical Practice, 2016 The spinal anesthesia, a category of neuraxial anesthesia, is commenced in the lumbar spine, where the local anesthetic (LA) is injected into cerebrospinal fluid (CSF) to anesthetize the spinal nerves. This technique is most frequently used for analgesia
Ovidiu PENES, Emilia VALEANU
doaj +1 more source
Religions, 2023 This paper develops Mark D. Linville’s brief description of “a sort of moral fine-tuning argument”. I develop the argument in four ways: I unpack the argument and give it a clear formulation, I unpack the theistic explanation of why a somewhat reliable ...
Martin Jakobsen
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Fine-Tuned of Necessity? [PDF]
Res Philosophica, 2018 This paper seeks to explicate and analyze an alternative response to fine-tuning arguments from those that are typically given—namely, design or brute contingency. The response I explore is based on necessity, the necessitarian response. After showing how necessity blocks the argument, I explicate the reply I claim necessitarians can give and suggest ...
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Analysis of fine-tuning measures in models with extended Higgs sectors
Nuclear Physics B, 2019 In the literature measures of fine-tuning have been discussed as one of the tools to assess the feasibility of beyond the Standard Model theories. In this paper we focus on two specific measures and investigate what kind of fine-tuning they actually ...
Daniël Boer +2 more
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Partial Fine-Tuning: A Successor to Full Fine-Tuning for Vision Transformers
CoRR, 2023 Fine-tuning pre-trained foundation models has gained significant popularity in various research fields. Existing methods for fine-tuning can be roughly divided into two categories, namely Parameter-Efficient Fine-Tuning and High-Performance Fine-Tuning. The former aims at improving efficiency, while the latter focuses on enhancing performance.
Peng Ye 0006 +6 more
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