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cs.RO2025

Autonomous Oil Spill Response Through Liquid Neural Trajectory Modeling and Coordinated Marine Robotics

Hadas C. Kuzmenko, David Ehevich, Oren Gal

Marine oil spills pose grave environmental and economic risks, threatening marine ecosystems, coastlines, and dependent industries. Predicting and managing oil spill trajectories i…

cs.SD2025

Token-Based Audio Inpainting via Discrete Diffusion

Tali Dror, Iftach Shoham, Moshe Buchris +4

Audio inpainting seeks to restore missing segments in degraded recordings. Previous diffusion-based methods exhibit impaired performance when the missing region is large. We introd…

cs.IR2025

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems

Haochen Zhang, Tianyi Zhang, Junze Yin +3

Recommender systems play a pivotal role in providing relevant content to users. With the rapid development of large language models (LLMs), researchers have begun utilizing LLMs to…

cs.RO2025

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning

Assaf Lahiany, Oren Gal

Current visual SLAM systems face significant challenges in balancing computational efficiency with robust loop closure handling. Traditional approaches require careful manual tunin…

cs.SD2025

Unmasking Deepfakes: Leveraging Augmentations and Features Variability for Deepfake Speech Detection

Inbal Rimon, Oren Gal, Haim Permuter

Deepfake speech detection presents a growing challenge as generative audio technologies continue to advance. We propose a hybrid training framework that advances detection performa…