ABSTRACT: The global financial landscape is increasingly becoming interconnected, with financial markets exhibiting complex interdependencies. This increases the possibility of market risk spreading ...
Diffusion models have made significant advances in text-guided synthesis tasks. Recent progress in controllable image generation and editing is largely driven by diffusion-based methods. Although ...
ABSTRACT: This study develops and empirically calibrates the Community-Social Licence-Insurance Equilibrium (CoSLIE) Model, a dynamic, multi-theoretic framework that reconceptualises ...
Background: Based on case reports in infants, the safety of concomitant use of ceftriaxone and intravenous calcium in all ages has recently come under challenge. Systematic population-based data to ...
Jun 5, 2025: The initial code for training and inference is released. See GETTING_STARTED.md and give it a try now! Most cases have been tested but if you find bugs, feel free to open an issue.
Autoregressive Transformer models have demonstrated impressive performance in video generation, but their sequential token-by-token decoding process poses a major bottleneck, particularly for long ...
One of the core problems with AI is the notoriously high power and computing demand, especially for tasks such as media generation. On mobile phones, when it comes to running natively, only a handful ...
In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...
The field of large language models has long been dominated by autoregressive methods that predict text sequentially from left to right. While these approaches power today’s most capable AI systems, ...
Recent advancements in training large multimodal models have been driven by efforts to eliminate modeling constraints and unify architectures across domains. Despite these strides, many existing ...
High-resolution, photorealistic image generation presents a multifaceted challenge in text-to-image synthesis, requiring models to achieve intricate scene creation, prompt adherence, and realistic ...
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