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cs.CL 2604.24720

Sentiment and Emotion Classification of Indonesian E-Commerce Reviews via Multi-Task BiLSTM and AutoML Benchmarking

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.

2026-04-28 26
cs.LG 2604.24708

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models

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.

2026-04-28 24
cs.RO 2604.24707

Passage-Aware Structural Mapping for RGB-D Visual SLAM

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.

2026-04-28 26
econ.EM 2604.24705

Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting

Energy-Arena is a dynamic benchmarking platform enhancing transparency and comparability in energy forecasting.

Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser et al.

2026-04-28 16
cs.AI 2604.24697

Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft

SciCrafter evaluates AI's discovery-to-application ability in Minecraft; current models achieve only 26% success.

Zhou Ziheng, Huacong Tang, Jinyuan Zhang et al.

2026-04-28 20
cs.RO 2604.24681

Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation

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.

2026-04-28 23
cs.RO 2604.24674

Pushing Radar Odometry Beyond the Pavement: Current Capabilities and Challenges

Radar-KISSICP and Radar-IMU improve trajectory estimation in off-road environments.

Shaunak Kolhe, Peng Jiang, Maggie Wigness et al.

2026-04-28 25
cs.RO 2604.24661

Agent-Centric Visual Reinforcement Learning under Dynamic Perturbations

ACO-MoE recovers 95.3% performance under dynamic perturbations, enhancing visual RL robustness.

Zhengru Fang, Yu Guo, Fei Liu et al.

2026-04-28 40
cs.RO 2604.24648

Computational Design and Co-Robotic Fabrication for Material Reuse in Architecture

Integrating data-driven computational design with feedback-driven co-robotic fabrication for material reuse in architecture.

Arash Adel, Daniel Ruan, Ruxin Xie

2026-04-28 33
physics.chem-ph 2604.24563

Enhancing molecular dynamics with equivariant machine-learned densities

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.

2026-04-27 15
cs.LG 2604.24555

Efficient learning by implicit exploration in bandit problems with side observations

Efficient learning by implicit exploration in bandit problems with side observations, achieving near-optimal regret guarantees.

Tomas Kocak, Gergely Neu, Michal Valko et al.

2026-04-27 140 citations 39
cs.CV 2604.24492

Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI

Deployment-aligned low-precision NAS enhances spaceborne edge AI performance, achieving 0.826 mIoU.

Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema et al.

2026-04-27 36
cs.RO 2604.24487

Guiding Vector Field Generation via Score-based Diffusion Model

Generate complex path vector fields using Score-Induced Guiding Vector Field (SGVF) to enhance robotic navigation.

Zirui Chen, Shiliang Guo, Shiyu Zhao

2026-04-27 43
cs.CL 2604.24372

SeaEvo: Advancing Algorithm Discovery with Strategy Space Evolution

SeaEvo enhances algorithm discovery via strategy space evolution, achieving 21% improvement in system optimization tasks.

Sichun Luo, Yi Huang, Haochen Luo et al.

2026-04-27 23
stat.ML 2604.24172

A Divergence-Based Method for Weighting and Averaging Model Predictions

A divergence-based method outperforms traditional weighting in small sample scenarios.

Olav Benjamin Vassend

2026-04-27 24
cs.CL 2604.24040

Improving Robustness of Tabular Retrieval via Representational Stability

Improving tabular retrieval robustness via representational stability using centroid averaging to reduce format-specific variance.

Kushal Raj Bhandari, Adarsh Singh, Jianxi Gao et al.

2026-04-27 21
cs.CV 2604.24029

DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery

DeepTaxon: An interpretable retrieval-augmented multimodal framework significantly improves species identification and discovery accuracy.

Jiawei Wang, Ming Lei, Yaning Yang et al.

2026-04-27 34
cs.LG 2604.23765

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks

Kolmogorov-Arnold Networks achieve universality with a single non-affine function.

Vugar Ismailov

2026-04-26 21
cs.CV 2604.23403

Learn&Drop: Fast Learning of CNNs based on Layer Dropping

Learn&Drop accelerates CNN training by layer dropping, reducing ResNet-152 forward propagation FLOPs by 83.74%.

Giorgio Cruciata, Luca Cruciata, Liliana Lo Presti et al.

2026-04-26 2 citations 34
cs.NE 2604.23256

Why Architecture Choice Matters in Symbolic Regression

Study shows architecture choice crucial for symbolic regression target recovery using EML operator.

Chakshu Gupta

2026-04-25 50
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