Yuxuan Chen

Layer-Selective Attention Caching achieves a 25% reduction in computation while enhancing audio quality retention by up to 6.7 times, revolutionizing efficiency in audio separation models.

Novelty-driven interaction enables agents to explore more effectively while using memory efficiently, outperforming traditional methods in open-ended environments.

An open-source 8B model can now rival proprietary LLMs on a range of complex chemistry tasks by plugging in modules that give it explicit molecular "cognition".

Turns out, deep learning models trained to predict breast density from ultrasound images generalize surprisingly well to external datasets, but still struggle with heterogeneously dense breasts.

Ignoring the nuanced interplay between services and hosts in microservice architectures leaves nearly 50% of root causes undiscovered.

LLMs crush traditional methods in recipe nutrient estimation, but the accuracy boost comes at a steep computational price, forcing a trade-off between precision and real-time performance.