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nuTruck reveals critical insights into the performance of autonomous driving planners for heavy-duty trucks, emphasizing the importance of dynamical safety in planning trajectories.
SAMBA achieves state-of-the-art performance in SAR target recognition with fewer parameters by harnessing the unique scattering properties of SAR imagery.
OASIF achieves up to 16.9 percentage points improvement in instruction-following success rates for LLMs facing commercial-grade obfuscation, redefining the limits of automated binary analysis.
High-entropy search tasks can now be evaluated without the constraints of incomplete ground truth, thanks to a novel framework that ensures LLMs genuinely traverse entire search spaces.
PriFT achieves state-of-the-art performance in supervised fine-tuning by leveraging a stable token reweighting signal from a frozen pretrained model, drastically improving generalization.
Training VLA policies without human demos is now feasible, with LEGS achieving better performance than traditional methods at a fraction of the cost.
Tencent's SIREN model boosts ad revenue by up to 3.87% in Weixin by unifying multi-modal and collaborative data into a single transformer, outperforming traditional late-fusion approaches.
Representing highly nonlinear vehicle dynamics in a lifted linear space via Koopman operator theory enables state-of-the-art long-term state estimation for complex electric trucks.
