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Achieving an order-of-magnitude improvement in force direction prediction, CliffordSTF redefines the capabilities of interatomic potentials.
Segmentation can be achieved directly from 4D Gaussian representations without the need for costly external masks, revealing that intrinsic scene cues hold significant object structure information.
The best LLM for judging AI agents flips depending on the language you use, revealing a hidden bias in current benchmarks.
Unsupervised learning of physical dynamics from video gets a much-needed dose of reality with IRIS, a benchmark dataset of 220 real-world videos, complete with ground truth and a standardized evaluation protocol.
Achieve state-of-the-art image tokenization by learning the quantization geometry itself, outperforming existing methods like FSQ and SimVQ with fewer active codes and lower representation rates.
Don't chase higher accuracy in scientific reasoning tasks; strategically abstaining when evidence is weak yields far greater reliability gains.
