Proposed a model-based bootstrap method for finite controlled Markov chains, improving confidence interval coverage.
Ziwei Su, Imon Banerjee, Diego Klabjan
Q-DAPS estimates question difficulty by computing the entropy of plausibility scores, excelling on four QA datasets.
Jamshid Mozafari, Bhawna Piryani, Adam Jatowt
SafeManip uses LTLf to evaluate temporal safety in robotic manipulation, revealing task success does not equal safe execution.
Chengyue Huang, Khang Vo Huynh, Sebastian Elbaum et al.
MedHopQA evaluates biomedical QA via multi-hop reasoning with 1,000 expert-curated question-answer pairs.
Rezarta Islamaj, Robert Leaman, Joey Chan et al.
Real-time whole-body teleoperation using Virdyn IMU motion capture, validated on Unitree G1 robot with Sim2Sim and Sim2Real.
Hamza Ahmed Durrani, Suleman Khan
Sentiment and emotion classification of Indonesian e-commerce reviews using Multi-Task BiLSTM and AutoML, achieving high accuracy.
Hermawan Manurung, Ibrahim Al-Kahfi, Ahmad Rizqi et al.
Proposes HDET method to improve optimization quality and generalization of large models via automatic learning rate exploration.
Hailing Cheng, Tao Huang, Chen Zhu et al.
Introduced a passage-aware structural mapping method for RGB-D Visual SLAM to effectively detect doors and traversable openings.
Ali Tourani, Miguel Fernandez-Cortizas, Saad Ejaz et al.
Energy-Arena is a dynamic benchmarking platform enhancing transparency and comparability in energy forecasting.
Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser et al.
SciCrafter evaluates AI's discovery-to-application ability in Minecraft; current models achieve only 26% success.
Zhou Ziheng, Huacong Tang, Jinyuan Zhang et al.
MoT-HRA framework learns human-intention priors from large-scale demonstrations, enhancing motion plausibility and control robustness in robotic manipulation.
Yifan Xie, YuAn Wang, Guangyu Chen et al.
Radar-KISSICP and Radar-IMU improve trajectory estimation in off-road environments.
Shaunak Kolhe, Peng Jiang, Maggie Wigness et al.
ACO-MoE recovers 95.3% performance under dynamic perturbations, enhancing visual RL robustness.
Zhengru Fang, Yu Guo, Fei Liu et al.
Integrating data-driven computational design with feedback-driven co-robotic fabrication for material reuse in architecture.
Arash Adel, Daniel Ruan, Ruxin Xie
DenSNet enhances molecular dynamics by predicting electronic structures using equivariant neural networks and a $Δ$-learning strategy.
Mihail Bogojeski, Muhammad R. Hasyim, Leslie Vogt-Maranto et al.
Efficient learning by implicit exploration in bandit problems with side observations, achieving near-optimal regret guarantees.
Tomas Kocak, Gergely Neu, Michal Valko et al.
Deployment-aligned low-precision NAS enhances spaceborne edge AI performance, achieving 0.826 mIoU.
Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema et al.
Generate complex path vector fields using Score-Induced Guiding Vector Field (SGVF) to enhance robotic navigation.
Zirui Chen, Shiliang Guo, Shiyu Zhao
SeaEvo enhances algorithm discovery via strategy space evolution, achieving 21% improvement in system optimization tasks.
Sichun Luo, Yi Huang, Haochen Luo et al.
A divergence-based method outperforms traditional weighting in small sample scenarios.
Olav Benjamin Vassend