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》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 \beta ,比如需要结合Context做阅读理解的,可以...
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...
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DenseCLIP...
Video decodingWhile the evolution of mobile computing is experiencing considerable growth, it is at the same time seriously threatened by the limitations of battery technology, which does not keep pace with the evergrowing increase in energy requirements of mobile applications. Yet, with the limits ...
In this paper, we propose an alternative adaptation approach, named Decoding-enhanced Multi-phase Prompt Tuning (DeMPT), to make LLMs discriminately model and utilize the inter- and intra-sentence context and more effectively adapt LLMs to context-aware NMT. First, DeMPT divides the context-...
2020 年 2 月,新增对 Transformer decoder 的优化和加速,包括 decoder与 decoding 两种加速模式; 面向生成式场景,如 NMT、文本内容生成与 ASR 等; 底层由 CUDA 和 cuBLAS 实现,支持 FP16 和 FP32 计算模,FP16 可充分利用 Volta 和 Turing 架构的 Tensor Core 计算单元; ...
Paper tables with annotated results for A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
herein. In addition, in some aspects, the functionality described herein may be provided within dedicated hardware and/or software modules configured for encoding and decoding, or incorporated in a combined codec. Also, the techniques could be fully implemented in one or more circuits or logic ...
This disclosure relates to methods, non-transitory computer readable media, and systems that can generate a context-aware-video-progress bar including a video-scene-proportionate ti
For each of the 4200 initially identified clusters, known cell type classifications were averaged, assigning the most common annotation within a cluster to any cells unknown labels.Preliminary validation of each cluster annotation was performed by decoding the mean embedding vector to obtain a denoised...