Transformer-based architectures have revolutionized natural language processing, delivering exceptional performance across diverse language modeling tasks. However, they still face major challenges when handling long-context sequences. The self-attention mechanism in Transformers suffers from quadratic computational complexity, and their memory requirement grows linearly with context length during inference. These factors impose practical constraints on sequence length due… →
Understanding and analyzing long videos has been a significant challenge in AI, primarily due to the vast amount of data and computational resources required. Traditional Multimodal Large Language Models (MLLMs) struggle to process extensive video content because of limited context length. This challenge is especially evident with hour-long videos, which need hundreds of thousands of… →
CONCLUSION: TBDESJS significantly improved tear production, ocular dryness, and sleep quality, indicating potential neural regulation, anti-inflammatory and immunomodulatory benefits. These findings advocate for TBDESJS (Chun-Yu-Ching-Hua-Yin, CYCHY)’s comprehensive therapeutic value in SJS and DES treatment, emphasizing the need for further research to understand long-term effects and mechanisms. →
CONCLUSIONS: Our findings suggest that intense exercise training significantly remodels the human fungal microbiome composition. Changes in gut fungal composition are associated with the metabolic benefits of exercise, indicating gut mycobiome is a possible molecular transducer of exercise. Moreover, baseline gut fungal signatures predict exercise responsiveness for diabetes prevention, highlighting that targeting the gut mycobiome… →
CONCLUSION: Multimodal opioid-sparing anesthesia contributes to rapid recovery of postoperative intestinal function and reduction of postoperative adverse reactions. Therefore, it is safe and feasible to apply multimodal opioid-sparing anesthesia to elderly hypertension patients receiving open surgery for CRC. →
CONCLUSION: Our results suggest that GnRH agonist plus bicalutamide reduced PSA level faster and suppressed PSA rising longer than GnRH antagonist. Moreover, measuring the g rate can predict PSA-PFS, rPFS, and OS in patients with advanced CPSC treated with androgen deprivation therapy. These findings suggest that incorporating g rate measurements into clinical practice could improve… →
In recent years, text-to-speech (TTS) technology has made significant strides, yet numerous challenges still remain. Autoregressive (AR) systems, while offering diverse prosody, tend to suffer from robustness issues and slow inference speeds. Non-autoregressive (NAR) models, on the other hand, require explicit alignment between text and speech during training, which can lead to unnatural results. The… →
Machine learning for predictive modeling aims to forecast outcomes based on input data accurately. One of the primary challenges in this field is “domain adaptation,” which addresses differences between training and application scenarios, especially when models face new, varied conditions after training. This challenge is significant for tabular finance, healthcare, and social sciences datasets, where… →