Learning To Retrieve Prompts for In-Context Learning Ohad Rubin, Jonathan Herzig, Jonathan Berant NAACL-HLT 2022. [Paper][Github] 16 Dec 2021 Instruction and RLHF LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad...
This paper introduces the general system architecture; it then sketches some results in detail regarding hybrid reasoning and planning used in RACE, and instances of learning from the experiences of real robot task execution. Enhancement of robot competence is operationalized in terms of performance ...
We also propose two type of defense methods. Meta-prompting Defenses Border Strings In-context Learning Multi-turn Dialogue Finetuning Defenses Speical Tokens Meanwhile, we relase our defense code for reproducing our results. See instructions for running defense atdefense/bipia_defense. ...
The performance change is the average difference between the score of the original input and the scores of the perturbed inputs. The scores measured to evaluate this performance change depend on the task type: Summarization For summarization tasks, semantic robustness measures the following scores when...
1.A computer system comprising:a processing unit operatively coupled to memory, the processing unit configured to implement at least one program module to:introduce a function having as input results from one or more previous layers of a first artificial neural network (ANN), the introduced functio...
We addressed a supervised problem using deep learning-based models in which explanations from the model predictions becomes critical; it not only validates predictions but also deepens our understanding of structural motifs—related to particular residues—that drive conformational changes in the receptor....
We use machine learning to screen out the knowledge collaboration behaviors from all communication behaviors. As shown in Figure 1, between 20 May 2008 and 15 November 2018, there were 18,469 knowledge collaboration interactions throughout the 11 Local Motors OSPs, which were completed by 1410 ...
not. The CM0 *core* is pretty annoying (no divide, missing a bunch of the instructions and modes you might expect, less space-efficient, slower.) Cortex-M0 *is* newer (no need for the scare quotes), it was released by ARM only after Cortex-M3, when it was clear the M3 is an ...
Learning To Retrieve Prompts for In-Context Learning Ohad Rubin, Jonathan Herzig, Jonathan Berant NAACL-HLT 2022. [Paper][Github] 16 Dec 2021 LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu, Abdul Waheed, Chiyu Zhang, Muhammad Abdul-Mageed, Alham Fikri...
Keywords: machine learning; deep learning; adversarial attacks 1. Introduction The growth of computing power and data availability has led to the development of more efficient pattern recognition techniques, such as neural networks and deep learning. When a sample accurately represents a population of ...