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arXiv:2510.18533v2 Announce Type: replace Abstract: Robust speaker verification under noisy conditions remains an open challenge. Conventional deep learning methods learn a robust unified speaker representation...
arXiv:2510.18584v2 Announce Type: replace Abstract: A treedepth decomposition of an undirected graph $G$ is a rooted forest $F$ on the vertex set of $G$ such...
arXiv:2510.19207v2 Announce Type: replace Abstract: When large language model (LLM) agents are increasingly deployed to automate tasks and interact with untrusted external data, prompt injection...
arXiv:2510.21112v2 Announce Type: replace Abstract: High-definition 3D city maps enable city planning and change detection, which is essential for municipal compliance, map maintenance, and asset...
arXiv:2510.21423v2 Announce Type: replace Abstract: The problem of minimizing fuzzy interpretations in fuzzy description logics (FDLs) is important both theoretically and practically. For instance, fuzzy...
arXiv:2510.21618v2 Announce Type: replace Abstract: Large reasoning models have demonstrated strong problem-solving abilities, yet real-world tasks often require external tools and long-horizon interactions. Existing agent...
arXiv:2510.23026v4 Announce Type: replace Abstract: Recent studies demonstrate that diffusion planners benefit from sparse-step planning over single-step planning. Training models to skip steps in their...
arXiv:2510.23819v2 Announce Type: replace Abstract: Cardiac auscultation is an essential clinical skill, requiring excellent hearing to distinguish subtle differences in timing and pitch of heart...
arXiv:2510.24366v2 Announce Type: replace Abstract: Teacher-student frameworks have emerged as a leading approach in semi-supervised medical image segmentation, demonstrating strong performance across various tasks. However,...
arXiv:2510.25110v3 Announce Type: replace Abstract: Accurately modeling opinion change through social interactions is crucial for understanding and mitigating polarization, misinformation, and societal conflict. Recent work...
arXiv:2510.26064v2 Announce Type: replace Abstract: Symbolic regression (SR) aims to discover the underlying mathematical expressions that explain observed data. This holds promise for both gaining...
arXiv:2510.26069v2 Announce Type: replace Abstract: Text prompt is the most common way for human-generative AI (GenAI) communication. Though convenient, it is challenging to convey fine-grained...
arXiv:2510.26275v3 Announce Type: replace Abstract: Generative AI (GenAI) is rapidly transforming software engineering (SE) practices, influencing how SE processes are executed, as well as how...
arXiv:2510.26521v3 Announce Type: replace Abstract: Diacritics restoration in Hebrew is a fundamental task for ensuring accurate word pronunciation and disambiguating textual meaning. Despite the language's...
arXiv:2510.27675v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated impressive capabilities across a wide range of coding tasks, including summarization, translation, completion, and...
arXiv:2511.00640v2 Announce Type: replace Abstract: Large Reasoning Models (LRMs) achieve remarkable inference-time improvements through parallel thinking. However, existing methods rely on redundant sampling of reasoning...
arXiv:2511.01587v2 Announce Type: replace Abstract: This paper concerns the numerical valuation of swing options with discrete action times under a linear two-factor mean-reverting model with...
arXiv:2511.02463v3 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards(RLVR) has demonstrated great potential in enhancing the reasoning capabilities of large language models (LLMs). However,...
arXiv:2511.02552v2 Announce Type: replace Abstract: This work presents a mathematical model to enable rapid prediction of airborne contaminant transport based on scarce sensor measurements. The...
arXiv:2511.05059v2 Announce Type: replace Abstract: During laparoscopic surgery, smoke generated by tissue cauterization degrade endoscopic frames quality, increasing surgical risk and hindering both clinical decision-making...
arXiv:2511.08585v3 Announce Type: replace Abstract: The landscape of video generation is shifting, from a focus on generating visually appealing clips to building virtual environments that...
arXiv:2511.08947v2 Announce Type: replace Abstract: Time series forecasting plays a crucial role in decision-making across many real-world applications. Despite substantial progress, most existing methods still...
arXiv:2511.09554v2 Announce Type: replace Abstract: Open-vocabulary detectors achieve impressive performance on COCO, but often fail to generalize to real-world datasets with out-of-distribution classes not typically...
arXiv:2511.10308v2 Announce Type: replace Abstract: Reliable pedestrian detection represents a crucial step towards automated driving systems. However, the current performance benchmarks exhibit weaknesses. The currently...