Source code for the paper "RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction", in NAACL 2022. Overview In document-level event extraction (DEE) task, event arguments always scatter across sen- tences (across-sentence issue) and multiple events may lie in one document (multi-event issue).

We analyze the impact of these various retrieval noises on the robustness of LLMs. Subsequently, we propose a novel RAG approach known as Retrieval-augmented Adaptive Adversarial Training (RAAT). RAAT leverages adaptive adversarial training to dynamically adjust the model's training process in response to retrieval noises.

2020年4月9日 · Roon的主要技术就是一个叫做RAAT (Roon Advanced Audio Transport)的技术。 而RAAT的技术主要是要做到： 建立一个Roon的生态系统，有一个优质、标准的技术让各个价位级数的音响品牌一起使用。

2023年3月14日 · raat可扩展以捕获多尺度和多论元关系。 为了进一步利用关系信息，我们引入了一个单独的事件关系预测任务，并采用多任务学习方法来显式提高事件提取性能。

2021年11月7日 · An article from a professor of psychology describes a type of so-called “ radio-wave, auditory, assaultive. transmitting (RAAT) implants,” which is essentially a covert listening device, and it can be implanted into and stay in human ear canal as a remote listening device.

The RAAT was developed to identify a form of attention most likely to reinforce functionally equivalent alternatives to problem behavior. We describe the procedures for conducting a RAAT, as well as the results of a treatment evaluation that included two attention types from the RAAT, programmed to increase prosocial alternative behaviors.

2017年1月26日 · Find the rank of $(AA^T)$ with respect to $\lambda$. $A^T=\begin{pmatrix} 1&2&0&\lambda\\ 2&4&0&1 \end{pmatrix}$ $AA^T=\begin{pmatrix} 5&10&0&\lambda+2\\ 10&20&0&2\lambda+4\\ 0&0&0&0\\ \lambda+2&2\lambda+4&0&\lambda^2+1 \end{pmatrix}$

from tuner.trainer.raat_processor import adaProcessManager. import gc. import torch. from datetime import timedelta. kwargs = InitProcessGroupKwargs(timeout=timedelta(seconds=5400)) accelerator = Accelerator(gradient_accumulation_steps=args.gradient_accumulation_steps, kwargs_handlers=[kwargs])

RAAT (Roon Advanced Audio Transport) is the backbone of Roon's audio distribution technology. It is designed to support a wide range of software and hardware applications without format support restrictions or quality compromises.

The Rules Acquisition Aptitude Test (RAAT) is designed to assess your aptitude for learning and following rules and regulations in training and/or in the job. Improve your performance with the practice test