SharpAP significantly enhances the transferability of poisoning attacks on recommender systems, showing improved performance across multiple datasets.

Junsong Xie, Yonghui Yang, Pengyang Shao et al.

ReCast framework improves Pass@1 by 36.6% in generative recommendation, optimizing sparse-hit signals.

Peiyan Zhang, Hanmo Liu, Chengxuan Tong et al.

Concave statistical utility maximization bandits using influence-function gradients.

Matías Carrasco, Alejandro Cholaquidis

ESPRESSO framework implements scalable keyword search with granular visibility constraints and privacy guarantees in Solid-based environments.

Mohamed Ragab, Faria Ferooz, Mohammad Bahrani et al.

LTBs-KAN enhances KAN efficiency with linear-time B-spline computation.

Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello

Lsys encoding excels in neural network evolution, achieving a food count of 3802, surpassing Matrix encoding.

Alexander Stuy, Nodin Weddington

EVENT5Ws: A large dataset for open-domain event extraction, manually annotated and statistically verified.

Praval Sharma, Ashok Samal, Leen-Kiat Soh et al.

Introduces 'sharpness dimension' to explain improved generalization at the edge of stability.

Mario Tuci, Caner Korkmaz, Umut Şimşekli et al.

Study fluctuations of functionals in infinite-width random neural networks on spheres, revealing three distinct limiting behaviors.

Simmaco Di Lillo, Leonardo Maini, Domenico Marinucci

Proposes Safe EWC and CF-EWC algorithms for safe continual reinforcement learning in non-stationary environments.

Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro et al.

FASTER method reduces computational cost by early action sample filtering during denoising while maintaining RL performance.

Perry Dong, Alexander Swerdlow, Dorsa Sadigh et al.

VLA Foundry: A unified framework for training Vision-Language-Action models, enhancing multi-task tabletop manipulation policies.

Jean Mercat, Sedrick Keh, Kushal Arora et al.

Adversarial training enables Vision Transformers to achieve near-zero robust training loss and robust generalization error under moderate perturbation budgets.

Jiaming Zhang, Meng Ding, Shaopeng Fu et al.

Discovering a shared logical subspace in LLMs improves logical reasoning accuracy by up to 11% via alignment of natural-language and symbolic views.

Feihao Fang, My T. Thai, Yuanyuan Lei

Evaluates a VPP dispatch algorithm in smart distribution systems using a co-simulation framework, revealing significant impacts of communication delays.

Houchao Gan

Utilizing determinantal point processes for Monte Carlo integration to enhance estimator variance convergence speed.

Guillaume Gautier, Rémi Bardenet, Michal Valko

A-MAR framework enhances multimodal art retrieval explanation quality through structured reasoning plans.

Shuai Wang, Hongyi Zhu, Jia-Hong Huang et al.

InsightGen generates diverse and relevant insights to enhance open-ended document QA.

Saransh Sharma, Pritika Ramu, Aparna Garimella et al.

Mask World Model predicts semantic masks instead of pixels, enhancing robust robot policy learning, excelling in LIBERO and RLBench.

Yunfan Lou, Xiaowei Chi, Xiaojie Zhang et al.

MATCH method improves peg-in-hole task success rate by 35% under high noise, reducing average force by 30%.

Hunter L. Brown, Geoffrey Hollinger, Stefan Lee