Papers
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Attention Is All You Need: A Survey of Transformer Variants
Ashish Vaswani, Noam Shazeer, Niki Parmar
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...
arXivcs.CLcs.LG
Matched by: NLP ResearchScore: 0.94enriched2024-01-15
Large Language Models for Scientific Discovery
Y. Chen, M. Smith, A. Johnson
We explore the application of large language models in scientific research and discovery...
arXivcs.AI
Matched by: AI BenchmarksScore: 0.91parsed2024-01-14
Multimodal Learning with Transformers: A Review
X. Li, Y. Wang, Z. Zhang
A comprehensive review of multimodal learning approaches using transformer architectures...
arXivcs.CVcs.CL
Matched by: Vision-LanguageScore: 0.88translated2024-01-13
Efficient Fine-Tuning of Large Models
J. Brown, K. Davis
We propose efficient methods for fine-tuning large pre-trained language models...
arXivcs.LG
Matched by: NLP ResearchScore: 0.85queued2024-01-12