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arXiv:2602.14512v1 Announce Type: new Abstract: Medical image generation is pivotal in applications like data augmentation for low-resource clinical tasks and privacy-preserving data sharing. However, developing...
arXiv:2602.14514v1 Announce Type: new Abstract: We introduce the Nexus Adapters, novel text-guided efficient adapters to the diffusion-based framework for the Structure Preserving Conditional Generation (SPCG)....
arXiv:2602.14516v1 Announce Type: new Abstract: With the rapid evolution of Large Language Models (LLMs), multi-round workflows, such as autonomous agents and iterative retrieval, have become...
arXiv:2602.14517v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong mathematical reasoning in English, but whether these capabilities reflect genuine multilingual reasoning or reliance...
arXiv:2602.14518v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) in long chain-of-thought reasoning often fail when different knowledge sources provide conflicting signals. We formalize...
arXiv:2602.14519v1 Announce Type: new Abstract: This paper presents DeepMTL2R, an open-source deep learning framework for Multi-task Learning to Rank (MTL2R), where multiple relevance criteria must...
arXiv:2602.14523v1 Announce Type: new Abstract: Rapid and accurate building damage assessment in the immediate aftermath of tornadoes is critical for coordinating life-saving search and rescue...
arXiv:2602.14524v1 Announce Type: new Abstract: Optical Character Recognition (OCR) of eighteenth-century printed texts remains challenging due to degraded print quality, archaic glyphs, and non-standardized orthography....
arXiv:2602.14525v1 Announce Type: new Abstract: Domain-generalized LiDAR semantic segmentation (LSS) seeks to train models on source-domain point clouds that generalize reliably to multiple unseen target...
arXiv:2602.14526v1 Announce Type: new Abstract: Robotic knot-tying represents a fundamental challenge in robotics due to the complex interactions between deformable objects and strict topological constraints....
arXiv:2602.14528v1 Announce Type: new Abstract: Long COVID represents an unprecedented case of patient-led illness definition, emerging through Twitter in May 2020 when patients began collectively...
arXiv:2602.14529v1 Announce Type: new Abstract: Failures in large language models (LLMs) are often analyzed from a behavioral perspective, where incorrect outputs in factual question answering...
arXiv:2602.14534v1 Announce Type: new Abstract: Human motion understanding and generation are crucial for vision and robotics but remain limited in reasoning capability and test-time planning....
arXiv:2602.14536v1 Announce Type: new Abstract: Large Language Models (LLMs) have seen remarkable advancements, achieving state-of-the-art results in diverse applications. Fine-tuning, an important step for adapting...
arXiv:2602.14539v1 Announce Type: new Abstract: Advances in quantum computing increasingly threaten the security and privacy of data protected by current cryptosystems, particularly those relying on...
arXiv:2602.14540v1 Announce Type: new Abstract: Autonomous driving in complex traffic requires reasoning under uncertainty. Common approaches rely on prediction-based planning or risk-aware control, but these...
arXiv:2602.14543v1 Announce Type: new Abstract: We study the constrained variant of the \emph{multi-armed bandit} (MAB) problem, in which the learner aims not only at minimizing...
arXiv:2602.14544v1 Announce Type: new Abstract: We propose a new approach in cryptanalysis based on an evolution of the concept of \textit{Combinatorial Equivalence}. The aim is...
arXiv:2602.14550v1 Announce Type: new Abstract: Pseudo-deterministic algorithms are randomized algorithms that, with high constant probability, output a fixed canonical solution. The study of pseudo-deterministic algorithms...
arXiv:2602.14551v1 Announce Type: new Abstract: Human-Robot Collaboration (HRC) plays an important role in assembly tasks by enabling robots to plan and adjust their motions based...
arXiv:2602.14552v1 Announce Type: new Abstract: Image-based Virtual Try-On (VTON) concerns the synthesis of realistic person imagery through garment re-rendering under human pose and body constraints....
arXiv:2602.14553v1 Announce Type: new Abstract: Despite legal mandates for the right to be forgotten, AI operators routinely fail to comply with data deletion requests. While...
arXiv:2602.14559v1 Announce Type: new Abstract: The primary focus of multi-agent reinforcement learning (MARL) has been to study interactions among a fixed number of agents embedded...
arXiv:2602.14561v1 Announce Type: new Abstract: This paper presents a simulation-driven approach for automating the force-controlled assembly of electrical terminals on DIN-rails, a task traditionally hindered...