LANGUAGE-MODEL-BASED DATA AUGMENTATION METHOD FOR TEXTUAL CLASSIFICATION TASKS WITH LITTLE DATAEmbodiments of the present systems and methods may provide techniques for augmenting textual data that may be used for textual classification tasks. Embodiments of such techniques may provide the capability to ...
For the general fine-grained event detection task, we propose an event detection scheme based on pre-trained model, combined with data augmentation and pseudo labelling method, which improves the event detection ability of the model. At the same time, we use voting for model ensemble, so as ...
T5-CommonGen和 CBART可以生成相对流畅的文本,但可能会破坏输入sketch的结构。 3.2 Experiments: Data Augmentation for Various NLP Tasks with GeniusAug 3.2.1 Text Classifification Datasets:主题分类数据集(BBC ,Huff,Yahoo,20NG), 情绪分类数据集(SST2,TMDB)。在一个低资源设置上进行实验,从上述数据集的原始t...
query_chroma_db_and_llama.pyloads the LLAMA 3 model, formats the user prompts with the retrieved augmentation part from the Chroma DB and finally invokes the model to generate output The default prompt is "Tell me briefly about land rover discovery 2 model" ...
Data augmentation and ... L Liu,D Xu,P Zhao,... 被引量: 0发表: 2023年 ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection Toxic language detection systems often falsely flag text that contains minority group mentions as toxic, as those groups...
Data augmentation, the smoothing L1 loss function and Softmax function are introduced to improve the detection accuracy [31]. To address the concern of the bounding box size, YOLOv2 uses a clustering algorithm to produce anchor boxes from the training dataset. Subsequently, the YOLOv3 network ...
Data augmentation was not performed to prevent the mismatch of the spatial information inherent in CT scans with the corresponding report. For example, if the original CT scan had a hemorrhage on the left side, the location of the hemorrhage may move to the right side, which will cause a ...
Data augmentation techniques were employed to enhance the model’s generalization capabilities. The model was integrated into an existing question-and-answer system, employing a modular system architecture designed to facilitate data exchange and function integration across different systems using application ...
[2023/09] RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. Homanga Bharadhwaj (Carnegie Mellon University) et al. arXiv. [paper] [project page] [2023/05] AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments. Sudipta ...
2. Generating new data generally outperforms rewriting existing data, though crafting the prompts carefully is crucial to extract the most valuable information from ChatGPT, particularly for domain-specific data. 3. The augmentation data size affects the effectiveness of DA; however, ...