Large Language Model
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
We leverage this unique capability to propose NoMAD-Attention, an efficient attention algorithm that replaces MAD operations with in-register lookups.
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
The predominant de facto paradigm of testing ML models relies on either using only held-out data to compute aggregate evaluation metrics or by assessing the performance on different subgroups.
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models Yinghui Li
Inspired by the above motivation, we collect real cunning texts as our raw data from a famous Chinese online forum, the "Ruozhiba" (retard forum)
ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
Compiler backends are tasked with generating executable machine code for processors. With the proliferation of diverse processors, it is imperative for programmers to tailor specific compiler backends to accommodate each one.
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography (Supplementary Material)
Below, we will introduce the details of each stage separately. In practical applications of image steganography, it is common to hide a single subject in an image, and this is also a problem that our method excels at solving. We employed two methods to obtain "Prompt1" and "Prompt2": an ChatGPT to generate the modified "Prompt2". The specific process of generating "Prompt2" is shown in Fig. A.1. We present examples from the Stego260 dataset in Fig. A.2, where each example consists of an image We show images from three categories: humans, animals, and general objects.
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs Sukmin Y un
We hope our work will contribute to the development of general MLLMs suitable for web-based content generation and task automation.