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arXiv:2511.07176v2 Announce Type: replace Abstract: Internet of Agents (IoA) envisions a unified, agent-centric paradigm where heterogeneous large language model (LLM) agents can interconnect and collaborate...
arXiv:2511.10515v2 Announce Type: replace Abstract: Olympiad-level physics problem-solving significantly challenges both humans and artificial intelligence (AI), as it requires integrating appropriate modeling, application of physical...
arXiv:2511.10831v2 Announce Type: replace Abstract: Quantum kernel methods are a promising branch of quantum machine learning, yet their effectiveness on diverse, high-dimensional, real-world data remains...
arXiv:2511.12158v2 Announce Type: replace Abstract: Many bioacoustics, neuroscience, and linguistics research utilize birdsongs as proxy models to acquire knowledge in diverse areas. Developing models generally...
arXiv:2511.13494v2 Announce Type: replace Abstract: Recent vision-language models (VLMs) such as CLIP, OpenCLIP, EVA02-CLIP and SigLIP achieve strong zero-shot performance, but it is unclear how...
arXiv:2511.14406v2 Announce Type: replace Abstract: Large models adaptation through Federated Learning (FL) addresses a wide range of use cases and is enabled by Parameter-Efficient Fine-Tuning...
arXiv:2511.15242v2 Announce Type: replace Abstract: The clinical translation of dermatological AI is hindered by opaque reasoning and systematic performance disparities across skin tones. Here we...
arXiv:2511.15656v4 Announce Type: replace Abstract: Many ecological questions center on complex phenomena, such as species interactions, behaviors, phenology, and responses to disturbance, that are inherently...
arXiv:2511.16659v2 Announce Type: replace Abstract: UV unwrapping flattens 3D surfaces to 2D with minimal distortion, often requiring the complex surface to be decomposed into multiple...
arXiv:2511.17178v2 Announce Type: replace Abstract: Various methods for robot design optimization have been developed so far. These methods are diverse, ranging from numerical optimization to...
arXiv:2511.17774v2 Announce Type: replace Abstract: Fabrication uncertainties, such as tolerance accumulation and material imperfections, pose a significant challenge to contact-rich robotic manipulation in construction by...
arXiv:2511.18203v5 Announce Type: replace Abstract: Generalizing from individual skill executions to solving long-horizon tasks remains a core challenge in building autonomous agents. A promising direction...
arXiv:2511.22581v2 Announce Type: replace Abstract: We prove that in any Dec-POMDP, sufficiently high entropy regularization ensures that policy gradient ascent with tabular softmax parametrization always...
arXiv:2512.00036v2 Announce Type: replace Abstract: Future intelligent indoor wireless environments require fast and reliable beam alignment to sustain high-throughput links under mobility and blockage. Exhaustive...
arXiv:2512.01991v2 Announce Type: replace Abstract: Humans are increasingly forming parasocial relationships with AI systems, and modern AI shows an increasing tendency to display social and...
arXiv:2512.02691v2 Announce Type: replace Abstract: Consider a high-multiplicity Bin Packing instance $I$ with $d$ distinct item types. In 2014, Goemans and Rothvoss gave an algorithm...
arXiv:2512.03310v3 Announce Type: replace Abstract: The current literature on memorization in Natural Language Models, especially Large Language Models (LLMs), poses severe security and privacy risks,...
arXiv:2512.03363v2 Announce Type: replace Abstract: Federated learning (FL) deployed over quantum enabled and heterogeneous classical networks faces significant performance degradation due to uneven client quality,...
arXiv:2512.07680v3 Announce Type: replace Abstract: This paper presents an aerially deployable crawler designed for adaptive locomotion and manipulation within tree canopies. The system combines compliant...
arXiv:2512.10861v2 Announce Type: replace Abstract: We consider the problem of modularizing control flow in a generic abstract interpretation framework. A generic abstract interpretation framework is...
arXiv:2512.12850v2 Announce Type: replace Abstract: Low-latency, resource-efficient neural network inference on FPGAs is essential for applications demanding real-time capability and low power. Lookup table (LUT)-based...
arXiv:2512.17882v3 Announce Type: replace Abstract: Cognitive training for sustained attention and working memory is vital across domains relying on robust mental capacity such as education...
arXiv:2512.18454v2 Announce Type: replace Abstract: Predictive machine learning models generally excel on in-distribution data, but their performance degrades on out-of-distribution (OOD) inputs. Reliable deployment therefore...
arXiv:2512.20334v2 Announce Type: replace Abstract: With the rapid development of large language models in code generation, AI-powered editors such as GitHub Copilot and Cursor are...