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arXiv:2601.22175v1 Announce Type: new Abstract: For now 10 years, the Action Learning has allowed employees of University of Angers, private and public Companies to be...
arXiv:2601.22178v1 Announce Type: new Abstract: Utility-driven mining is an essential task in data science, as it can provide deeper insight into the real world. High-utility...
arXiv:2601.22179v1 Announce Type: new Abstract: Within the domain of data mining, one critical objective is the discovery of sequential rules with high utility. The goal...
arXiv:2601.22181v1 Announce Type: new Abstract: Rotary Position Embedding (RoPE)-extension refers to modifying or generalizing the Rotary Position Embedding scheme to handle longer sequences than those...
arXiv:2601.22182v1 Announce Type: new Abstract: Webshells remain a primary foothold for attackers to compromise servers, particularly within PHP ecosystems. However, existing detection mechanisms often struggle...
arXiv:2601.22183v1 Announce Type: new Abstract: Location-based services rely heavily on efficient methods that search for relevant points-of-interest (POIs) near a given location. A k Nearest...
arXiv:2601.22184v1 Announce Type: new Abstract: In tacit coordination games with multiple outcomes, purely rational solution concepts, such as Nash equilibria, provide no guidance for which...
arXiv:2601.22185v1 Announce Type: new Abstract: The meme coin ecosystem has grown into one of the most active yet least observable segments of the cryptocurrency market,...
arXiv:2601.22191v1 Announce Type: new Abstract: Logically constrained term rewrite systems (LCTRSs) are a rewriting formalism that naturally supports built-in data structures, including integers and bit-vectors....
arXiv:2601.22195v1 Announce Type: new Abstract: Quantum machine learning (QML) has gained increasing attention as a potential solution to address the challenges of computation requirements in...
arXiv:2601.22197v1 Announce Type: new Abstract: Generating clinical reports that summarize abnormal patterns, diagnostic findings, and clinical interpretations from long-term EEG recordings remains labor-intensive. We curate...
arXiv:2601.22198v1 Announce Type: new Abstract: An optimal solution to the localization problem is essential for developing autonomous robotic systems. Apart from autonomous vehicles, precision agriculture...
arXiv:2601.22199v1 Announce Type: new Abstract: Robotics education fosters computational thinking, creativity, and problem-solving, but remains challenging due to technical complexity. Game-based learning (GBL) and gamification...
arXiv:2601.22201v1 Announce Type: new Abstract: Social media platforms face increasing scrutiny over the rapid spread of misinformation. In response, many have adopted community-based content moderation...
arXiv:2601.22204v1 Announce Type: new Abstract: Federated learning (FL) encounters substantial challenges due to heterogeneity, leading to gradient noise, client drift, and partial client participation errors,...
arXiv:2601.22206v1 Announce Type: new Abstract: We study offline imitation learning (IL) when part of the decision-relevant state is observed only through noisy measurements and the...
arXiv:2601.22208v1 Announce Type: new Abstract: Root cause analysis (RCA) is essential for diagnosing failures within complex software systems to ensure system reliability. The highly distributed...
arXiv:2601.22209v1 Announce Type: new Abstract: Multi-agent systems (MAS) increasingly solve complex tasks by orchestrating agents and tools selected from rapidly growing marketplaces. As these marketplaces...
arXiv:2601.22211v1 Announce Type: new Abstract: Reinforcement learning (RL) with combinatorial action spaces remains challenging because feasible action sets are exponentially large and governed by complex...
arXiv:2601.22218v1 Announce Type: new Abstract: Visual Question Answering (VQA) has become an important benchmark for assessing how large multimodal models (LMMs) interpret images. However, most...
arXiv:2601.22228v1 Announce Type: new Abstract: Vision-Language Models (VLMs) perform well in 2D perception and semantic reasoning compared to their limited understanding of 3D spatial structure....
arXiv:2601.22230v1 Announce Type: new Abstract: Test-time scaling for code generation commonly relies on Best-of-N selection, in which multiple candidate solutions are sampled from a base...
arXiv:2601.22231v1 Announce Type: new Abstract: This paper revisits the role of positional embeddings (PEs) within vision transformers (ViTs) from a geometric perspective. We show that...
arXiv:2601.22240v1 Announce Type: new Abstract: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) and large language models (LLMs) has been accompanied by...