A new study links layer-time dynamics in Transformer models with real-time human processing. The findings suggest that AI models may not only reach similar outputs as humans but could also follow ...

Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? Authors: Guan, Y., Trinh, V.A., Voleti, V., and Whitehill, J.

Models like LLM2Vec and NV-Embed enhance text-based representation learning by modifying the attention mechanisms in decoder-only LLMs. Despite these innovations, challenges such as handling long ...

When I test quantized int8 model with TP, the following error occurred: only Tensors of floating point dtype can require gradients [rank0]: File "/opt/conda/envs/py_3 ...

Despite their popularity, we question the necessity of making both the encoder and decoder learnable. To address this, we propose LessNet, a simplified network architecture with only a learnable ...

Experimental results demonstrate that our method not only achieves high ... network structures, such as multilayer perceptron (MLP), convolutional neural networks (CNNs), recurrent neural networks ...