2、之所以要减去无 Context 预测结果,是为了让模型更加倾向于结合 Context 而不是纯粹根据自身知识储备来回答(注:3天后出现在 Arxiv 的论文《Trusting Your Evidence: Hallucinate Less with Context-aware Decoding》[1]也提出了相同的技巧用来减少幻觉); 3、不同场景可以选择不同的,比如需要结合 Context 做阅读理解...
Context-Aware Neural Machine Translation Decoding.doi:10.18653/V1/D19-6502Eva Martínez GarciaCarles CreusCristina Espaa-BonetAssociation for Computational LinguisticsEmpirical Methods in Natural Language Processing
Compared to the existing solutions, we propose a context- and content aware, hardware-agnostic approach with applicability for both network video streaming and on-device playback. 2.2 Energy vs. Quality trade-off in mobile video decoding The approximate computing philosophy has at its core the ...
对于task loss的计算,则从concatenated features \mathbf{x}'_4=[\mathbf{x}_4, \mathbf{s}] \in \mathbb{R}^{H_4W_4\times {C+K}} 中decoding再计算。 (2)Context-Aware Prompting CoOp可以理解为Language-domain prompting,因为CoOp中learnable context仅仅是一个可学的向量,没有包含视觉信息;而Dense...
GenAI API adds speculative decoding, using a small draft model to periodically correct the full model, improving performance and text generation efficiency. Preview: GenAI API now supports LoRA adapters, allowing developers to quickly and efficiently customize image and text generation models. ...
Figure 1: The context-aware translation model consists of three important parts, the IU detector, the partial decoding, and the context-aware decoding. We consider the IU boundary detection as a classification problem and propose a novel dynamic context based method. ...
Reflective Decoding Network for Image Captioning论文阅读 基于注意力的循环模块 ARM中在结构上包括第一层LSTM和视觉注意层Attvis,第一层LSTM的输入有三部分,所有子区域视觉特征的均值、t-1时刻第二层LSTM的隐藏层状态、真实数据对应单词的嵌入向量(嵌入矩阵*单词的one-hot表示)。第一层LSTM的迭代公式: 视觉注意层...
An image capture system includes: an image capture unit configured to capture a first image frame comprising a set of pixels; and a processor coupled to the image capture unit and configured to: deter
HPD is composed of a passage-aware decoder and a three-way copy mechanism to determine how much passage-level information is needed during decoding and copy rare words from the answer-specific sentence or the passage. Extensive experimental results andcase studiesdemonstrate that the hierarchical answ...
mmseg/models/decode_heads/hrda_head.py: Implementation of the HRDA decoding with multi-resolution fusion and scale attention. mmseg/models/uda/dacs.py: Implementation of the DAFormer self-training. Acknowledgements HRDA is based on the following open-source projects. We thank their authors for maki...