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arXiv:2602.19157v1 Announce Type: new Abstract: Personality control in Role-Playing Agents (RPAs) is commonly achieved via training-free methods that inject persona descriptions and memory through prompts...
arXiv:2602.19158v1 Announce Type: new Abstract: Medical foundation models generate narrative explanations but cannot quantify intervention effects, detect evidence conflicts, or validate literature claims, limiting clinical...
arXiv:2602.19159v1 Announce Type: new Abstract: Prior behavioural work suggests that some LLMs alter choices when options are framed as causing pain or pleasure, and that...
arXiv:2602.19160v1 Announce Type: new Abstract: This paper examines the reasoning capabilities of Large Language Models (LLMs) from a novel perspective, focusing on their ability to...
arXiv:2602.19161v1 Announce Type: new Abstract: Latent diffusion models have enabled high-quality video synthesis, yet their inference remains costly and time-consuming. As diffusion transformers become increasingly...
arXiv:2602.19163v1 Announce Type: new Abstract: AIGC has rapidly expanded from text-to-image generation toward high-quality multimodal synthesis across video and audio. Within this context, joint audio-video...
arXiv:2602.19167v1 Announce Type: new Abstract: Subgraph similarity search over large-scale graphs is a fundamental task that retrieves subgraphs similar to a given query graph from...
arXiv:2602.19169v1 Announce Type: new Abstract: I introduce Virtual Parameter Sharpening (VPS), an inference-time technique that augments frozen transformer linear layers with dynamic, activation-conditioned low-rank perturbations....
arXiv:2602.19170v1 Announce Type: new Abstract: Action Quality Assessment (AQA) aims to score how well an action is performed and is widely used in sports analysis,...
arXiv:2602.19171v1 Announce Type: new Abstract: Parametric computer-aided design (CAD) modeling is fundamental to industrial design, but existing datasets often lack explicit geometric constraints and fine-grained...
arXiv:2602.19172v1 Announce Type: new Abstract: Realizable online regression can behave very differently from online classification. Even without any margin or stochastic assumptions, realizability may enforce...
arXiv:2602.19173v1 Announce Type: new Abstract: Reliable localization is a fundamental requirement for multi-robot systems operating in GPS-denied environments. Visual-inertial odometry (VIO) provides lightweight and accurate...
arXiv:2602.19174v1 Announce Type: new Abstract: Natural language processing for the Turkic language family, spoken by over 200 million people across Eurasia, remains fragmented, with most...
arXiv:2602.19177v1 Announce Type: new Abstract: The increasing use of Large Language Models (LLMs) as proxies for human participants in social science research presents a promising,...
arXiv:2602.19178v1 Announce Type: new Abstract: Deep learning models for medical image analysis often act as black boxes, seldom aligning with clinical guidelines or explicitly linking...
arXiv:2602.19179v1 Announce Type: new Abstract: Gaussian inference on smooth manifolds is central to robotics, but exact marginalization and conditioning are generally non-Gaussian and geometry-dependent. We...
arXiv:2602.19180v1 Announce Type: new Abstract: Human mesh recovery (HMR) from a single RGB image is inherently ambiguous, as multiple 3D poses can correspond to the...
arXiv:2602.19182v1 Announce Type: new Abstract: This paper further develops the Method of Matched Sections (MMS), a robust numerical framework for the solution of boundary value...
arXiv:2602.19183v1 Announce Type: new Abstract: Pharmacovigilance and clinical decision support systems utilize structured drug safety data to guide medical practice. However, existing datasets frequently depend...
arXiv:2602.19184v1 Announce Type: new Abstract: Learning from Demonstration (LfD) offers a promising paradigm for robot skill acquisition. Recent approaches attempt to extract manipulation commands directly...
arXiv:2602.19187v1 Announce Type: new Abstract: We present a method for generating training data for reinforcement learning with verifiable rewards to improve small open-weights language models...
arXiv:2602.19188v1 Announce Type: new Abstract: In recent years, Multi-modal Large Language Models (MLLMs) have achieved strong performance in OCR-centric Visual Question Answering (VQA) tasks, illustrating...
arXiv:2602.19189v1 Announce Type: new Abstract: The decomposition of undirected graphs simplifies complex problems by breaking them into solvable subgraphs, following the philosophy of divide and...
arXiv:2602.19190v1 Announce Type: new Abstract: Research on the intelligent interpretation of all-weather, all-time Synthetic Aperture Radar (SAR) is crucial for advancing remote sensing applications. In...