Sequential Recommendation systems have crucial applications in industries like e-commerce and streaming services. These systems collect and analyze the user interaction data over time to predict their preferences. However, the ID-based representations of users and items these systems rely on face critical drawbacks when transferring the same model to a new system. The new system… →
LLMs like GPT-4 and LLaMA have gained significant attention for their exceptional capabilities in natural language inference, summarization, and question-answering tasks. However, these models often generate outputs that appear credible but include inaccuracies, fabricated details, or misleading information, a phenomenon termed hallucinations. This issue presents a critical challenge for deploying LLMs in applications where precision… →
Large Vision Language Models (LVLMs) have demonstrated significant advancements across various challenging multi-modal tasks over the past few years. Their ability to interpret visual information in figures, known as visual perception, relied on visual encoders and multimodal training. Even with these advancements, visual perception errors still cause many mistakes in LVLMs and impact their ability… →
Training AI models today isn’t just about designing better architectures—it’s also about managing data efficiently. Modern models require vast datasets and need those datasets delivered quickly to GPUs and other accelerators. The problem? Traditional data loading systems often lag behind, slowing everything down. These older systems rely heavily on process-based methods that struggle to keep… →
Quantum computing has long been seen as a promising avenue for advancing computational capabilities beyond those of classical systems. However, the field faces a persistent challenge: error rates. Quantum bits, or qubits, are inherently fragile, and minor disturbances can lead to computational errors. This sensitivity has limited the scalability and practical application of quantum systems.… →
INTRODUCTION: The incidence of postoperative gastrointestinal dysfunction (POGD) is notably high among patients following colorectal cancer surgery, highlighting the urgency for the prompt development of efficacious preventive and therapeutic approaches. Electroacupuncture (EA) represents an intervention modality that holds promise for the management of POGD. However, the existing empirical evidence substantiating its efficacy remains scarce. The… →
INTRODUCTION: With the growing older adult population, the European Union emphasizes the need to promote research in healthy aging trough multidisciplinary and innovative approaches, including the integration of advanced technologies like virtual reality (VR) in cognitive rehabilitation. This reflects the increasing awareness of the importance of addressing challenges related to neurodegenerative diseases in the older… →
CONCLUSION: The changes in HbA1c were positively correlated with the dose of Coptidis Rhizoma, but not significantly with the dose of Puerariae Lobatae Radix. It demonstrated that the main drug of GQD in treating T2D patients is Coptidis Rhizoma. →
OpenAI has unveiled Sora, its new text-to-video generation tool, a major step forward in AI-powered content creation. However, the launch comes with a notable exception: users in the European Union and the United Kingdom won’t have access for now, highlighting ongoing challenges between innovation and regulation. Sora is OpenAI’s answer to simplifying video production. It… →
Inspired by human cognitive processes, large language models (LLMs) possess an intriguing ability to interpret and represent abstract world states, which are specific snapshots of the situation or context (basically the environment) described in the text, such as the arrangement of objects or tasks in a virtual or real-world scenario. The research explores this potential… →