LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder
We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmen...
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We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmen...
Prefill and decode reward different approaches to quantization: low-precision arithmetic accelerates prompt processin...
Latent world models predict the consequences of actions, but accurate prediction does not guarantee that latent dista...
Merging low-rank adapters (LoRAs) promises to eliminate the overhead of swapping task-specific weights at inference t...
Time series agents answer analytical questions by calling external tools, and which tools they carry is decided by pe...
On-policy distillation (OPD) corrects a student on the responses it writes, but its signal is the teacher's next-toke...
We introduce Kaggle Game Arena, an open and ever-expanding platform to evaluate large language models (LLMs) through ...
Generative AI is reshaping the cultural infrastructures through which knowledge is found, synthesized, and held accou...
Forecasting short-horizon mid-price movements from limit order book (LOB) data is central to algorithmic trading, yet...
Despite the growing capabilities of large language models (LLMs), prompt design remains largely heuristic and ad hoc....
Large language models (LLMs) exhibit substantial performance disparities between high- and low-resource languages. Be...
We present ClearGS for 3D Gaussian Splatting (3DGS) from handheld videos with uneven viewpoint coverage and mixed fra...