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Saritha and her team protected the tradition of Bindi through optimized image algorithms and helped to reveal the unique beauty and strength of Indian women.
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Exploring Memorization in Fine-tuned Language Models - ACL Anthology
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Uncertainty quantification in fine-tuned LLMs using LoRA ensembles | OpenReview
Fine-tuning large language models can improve task specific performance, although a general understanding of what the fine-tuned model has learned, forgotten...
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Ebba Ekblom Edvin Listo Zec and Olof Mogren As technology has increasingly been getting more powerful, we have also started generating vast amounts of data....
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Large Language Models (LLMs) have been observed to perform well on a wide range of downstream tasks when fine-tuned on domain-specific data. However, such data...
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Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time - mlfoundations/model-soups
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New biomaterials can be 'fine-tuned' for medical applications - University of Birmingham
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[2406.12082] Uncertainty modeling for fine-tuned implicit functions
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Synonyms for fine-tuned include developed, elevated, improved, advanced, bettered, boosted, progressed, upgraded, enhanced and expanded. Find more similar...
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How Multilingual are Large Language Models Fine-tuned for Translation? | OpenReview
A new paradigm for machine translation has recently emerged: fine-tuning large language models on parallel text has been shown to outperform dedicated...
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How behavioral rhythms are fine-tuned in the brain | ScienceDaily
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Fine-tuned LLMs generate accurate 3D human avatars from textual descriptions using the SMPL-X model, enhancing customization and simulation in virtual...
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Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional...
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Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse...
Jun 7, 2023 - 06/07/23 - Foundation models are first pre-trained on vast unsupervised datasets and then fine-tuned on labeled data. Reinforcement learning,...
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How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? | OpenReview
The fine-tuning of pre-trained language models has a great success in many NLP fields. Yet, it is strikingly vulnerable to adversarial examples, e.g., word...
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Differentiation signals from glia are fine-tuned to set neuronal numbers during development | eLife
Extrinsic signals establish an invariant and stereotyped pattern of neuronal differentiation and programmed cell death in the Drosophila visual system.
https://deepai.org/publication/model-soups-averaging-weights-of-multiple-fine-tuned-models-improves-accuracy-without-increasing-inference-time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing...
Mar 10, 2022 - 03/10/22 - The conventional recipe for maximizing model accuracy is to (1) train multiple models with various hyperparameters and (2) pick th...
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[2601.17480v1] Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
Abstract page for arXiv paper 2601.17480v1: Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
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[2510.02403v1] Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal...
Abstract page for arXiv paper 2510.02403v1: Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal Large Language Model
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Budget rule cutoff at $60/bbl not relevant, needs to be fine-tuned - Finance Minister Siluanov
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Journal of Medical Internet Research - A Fine-Tuned Bidirectional Encoder Representations From...
Background: Recently, food science has been garnering a lot of attention. There are many open research questions on food interactions, as one of the main...
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Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight...
Merging Large Language Models (LLMs) aims to amalgamate multiple homologous LLMs into one with all the capabilities. Ideally, any LLMs sharing the same...
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