Results 51 to 60 of about 237 (86)
Abstracts from the 53rd European Society of Human Genetics (ESHG) Conference: Interactive e-Posters. [PDF]
Eur J Hum Genet, 2020 europepmc +1 more source
2024-2025 Program and Abstracts Celebration of Student Scholarship [PDF]
The 2024-2025 Program and Abstracts for the Celebration of Student Scholarship at Morehead State University held on April 16, 2025. A Showcase of Student Research, Scholarship, Creative Work, and Performance Arts.https://scholarworks.moreheadstate.edu ...
Morehead State University. Undergraduate Research Fellowship Program.
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Improving Interpretability and Accuracy of Artificial Intelligence in Natural Language and Image Understanding [PDF]
Transformer-based models, such as BERT, have revolutionized natural language processing (NLP) by setting new standards for accuracy and capability. BERT has achieved state-of-the-art (SOTA) results on many NLP tasks and benchmarks, such as GLUE, even ...
Pham, Thang
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Large Language Models are Interpretable Learners
The trade-off between expressiveness and interpretability remains a core challenge when building human-centric predictive models for classification and decision-making.
Dhillon, Inderjit +5 more
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Large language models (LLMs) have demonstrated promising potential in various downstream tasks, including machine translation. However, prior work on LLM-based machine translation has mainly focused on better utilizing training data, demonstrations, or ...
Chen, Ling +6 more
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The Mirror of Ornaments (Alaṅkāradappaṇō) A Prakrit Work of Poetics [PDF]
[Italiano]: /[English]: The Mirror of Ornaments (Alaṅkāradappaṇō) defines and exemplifies 42 figures of speech or “ornaments” in 134 verses. It is the only surviving work of poetics in Prakrit, a literary language closely related to Sanskrit.
Ollett, Andrew
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ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models
Large vision-language models (LVLMs) have shown premise in a broad range of vision-language tasks with their strong reasoning and generalization capabilities. However, they require considerable computational resources for training and deployment.
Chen, Guiming Hardy +9 more
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3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
We present a two-stage text-to-3D generation system, namely 3DTopia, which generates high-quality general 3D assets within 5 minutes using hybrid diffusion priors.
Cao, Ziang +10 more
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