Keeping you up to date with the latest trends and best performing architectures in this fast evolvin
Advancements in model algorithms, the growth of foundational models, and access to high-quality data
Low-rank adaptation is a popular parameter-efficient fine-tuning method for large language models. I
We present an AutoML system called LightAutoML developed for a large European financial services com
In the past year, Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance
We argue that representations in AI models, particularly deep networks, are converging. First, we su
Generative foundation models are susceptible to implicit biases that can arise from extensive unsupe
Penetration testing, an essential component of software security testing, allows organizations to pr
State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object
Motivated by recent advances in large language models for Natural Language Processing (NLP), we desi
As AI promises to accelerate scientific discovery, it remains unclear whether fully AI-driven resear
We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical
Large Language Models (LLMs) trained on code are revolutionizing the software development process. I
This paper considers image-based virtual try-on, which renders an image of a person wearing a curate
For recent diffusion-based generative models, maintaining consistent content across a series of gene
Large Language Models (LLMs) have catalyzed significant advancements in Natural Language Processing
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KAN
While many contemporary large language models (LLMs) can process lengthy input, they still struggle
In this report, we introduce InternVL 1.5, an open-source multimodal large language model (MLLM) to
In the realm of mimicking human deliberation, large language models (LLMs) show promising performanc
The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale
