Understanding videos with AI requires handling sequences of images efficiently. A major challenge in current video-based AI models is their inability to process videos as a continuous flow, missing important motion details and disrupting continuity. This lack of temporal modeling prevents tracing changes; therefore, events and interactions are partially unknown. Long videos also make the… →
Reasoning language models have demonstrated the ability to enhance performance by generating longer chain-of-thought sequences during inference, effectively leveraging increased computation. However, a major limitation is the lack of control over reasoning length, making it difficult to allocate computational resources efficiently. In some cases, models generate excessively long outputs, wasting compute, while in others, they… →
CONCLUSIONS: Positive effects on both primary and secondary outcomes from the TRE intervention were seen when adjusting for covariate imbalance. Therefore, it cannot be ruled out that TRE significantly improves fatigue in people with MS. Furthermore, the current study underlines the potential effect of bias-adjustment, when covariate imbalance is present. However, further research is needed… →
CONCLUSIONS: We envisage that this study will help support evidence-based medicine and inform clinical practice guidelines on the optimal rate of sequencing of anti-heart failure therapies. A third placebo arm was considered, but costs would be too much and not providing study participants with therapies with known morbidity and mortality benefits may be unethical, in… →
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CONCLUSION: Serum B3 used for 5 months and HQ4% applied for 3 months, followed by a 2-month use of Serum B3, had a similar efficacy profile, with Serum B3 having a better local tolerance and patient acceptability. →
CONCLUSION: The HABC-M is capable of monitoring the recovery of older trauma survivors. →
Generating code with execution feedback is difficult because errors often require multiple corrections, and fixing them in a structured way is not simple. Training models to learn from execution feedback is necessary but approaches face challenges. Some methods attempt to correct errors in a single step but fail when multiple refinements are needed. Others use… →