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arXiv:2603.00977v1 Announce Type: new Abstract: Large language model (LLM) agents have recently demonstrated strong capabilities in interactive decision-making, yet they remain fundamentally limited in long-horizon...
arXiv:2603.00978v1 Announce Type: new Abstract: Removing undesired concepts from large-scale text-to-image (T2I) and text-to-video (T2V) diffusion models while preserving overall generative quality remains a major...
arXiv:2603.00979v1 Announce Type: new Abstract: Vision Transformers (ViTs) excel in 3D medical segmentation but require massive annotated datasets. While Self-Supervised Learning (SSL) mitigates this using...
arXiv:2603.00980v1 Announce Type: new Abstract: Generative Recommenders (GRs), exemplified by the Hierarchical Sequential Transduction Unit (HSTU), have emerged as a powerful paradigm for modeling long...
arXiv:2603.00981v1 Announce Type: new Abstract: This paper is concerned with fault/disturbance compensation control for fully actuated systems. In particular, we explore observer-based control, incorporating an...
arXiv:2603.00983v1 Announce Type: new Abstract: Massive frame redundancy and limited context window make efficient frame selection crucial for long-video understanding with large vision-language models (LVLMs)....
arXiv:2603.00985v1 Announce Type: new Abstract: Vision Transformers (ViTs) have revolutionized medical image analysis, yet their data-hungry nature clashes with the scarcity and privacy constraints of...
arXiv:2603.00986v1 Announce Type: new Abstract: High-Level Synthesis (HLS) is a pivotal electronic design automation (EDA) technology that enables the generation of hardware circuits from high-level...
arXiv:2603.00988v1 Announce Type: new Abstract: Remote sensing (RS) techniques are increasingly crucial for deepening our understanding of the planet. As the volume and diversity of...
arXiv:2603.00989v1 Announce Type: new Abstract: Large Language Models (LLMs) are widely used in software engineering to generate, complete, translate, and fix code, improving developer productivity....
arXiv:2603.00990v1 Announce Type: new Abstract: Freehand 3D ultrasound (US) reconstruction promises volumetric imaging with the flexibility of standard 2D probes, yet existing tracking paradigms face...
arXiv:2603.00991v1 Announce Type: new Abstract: AI agents that interact with the real world through tool calls pose fundamental safety challenges: agents might leak private information,...
arXiv:2603.00992v1 Announce Type: new Abstract: The powerful generative capabilities of diffusion models have raised growing privacy and safety concerns regarding generating sensitive or undesired content....
arXiv:2603.00993v1 Announce Type: new Abstract: Large Language Models (LLMs) have revolutionized AI-generated content evaluation, with the LLM-as-a-Judge paradigm becoming increasingly popular. However, current single-LLM evaluation...
arXiv:2603.00994v1 Announce Type: new Abstract: Multiple-choice questions (MCQs) are a widely used educational tool, particularly in domains such as visualization literacy that require broad conceptual...
arXiv:2603.00996v1 Announce Type: new Abstract: Children today encounter social issues -- climate change, conflict, inequality -- through digital technologies, and the design of that encounter...
arXiv:2603.00997v1 Announce Type: new Abstract: Accurate traffic prediction is a key task for intelligent transportation systems. The core difficulty lies in accurately modeling the complex...
arXiv:2603.01000v1 Announce Type: new Abstract: Motion transfer has emerged as a promising direction for controllable video generation, yet existing methods largely focus on single-object scenarios...
arXiv:2603.01006v1 Announce Type: new Abstract: REPresentation Alignment (REPA) improves the training of generative flow models by aligning intermediate hidden states with pretrained teacher features, but...
arXiv:2603.01007v1 Announce Type: new Abstract: 3D semantic occupancy prediction is crucial for autonomous driving perception, offering comprehensive geometric scene understanding and semantic recognition. However, existing...
arXiv:2603.01009v1 Announce Type: new Abstract: Over the past years, Automated Essay Scoring (AES) systems have gained increasing attention as scalable and consistent solutions for assessing...
arXiv:2603.01010v1 Announce Type: new Abstract: Recent advances in generative modeling have substantially enhanced novel view synthesis, yet maintaining consistency across viewpoints remains challenging. Diffusion-based models...
arXiv:2603.01012v1 Announce Type: new Abstract: Repository-scale code reasoning is a cornerstone of modern AI-assisted software engineering, enabling Large Language Models (LLMs) to handle complex workflows...
arXiv:2603.01013v1 Announce Type: new Abstract: In the social sciences, it is often necessary to debias studies and surveys before valid conclusions can be drawn. Debiasing...