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arXiv:2601.18284v1 Announce Type: new Abstract: Traffic congestion remains a major challenge for urban transportation, leading to significant economic and environmental impacts. Traffic Signal Control (TSC)...
arXiv:2601.18285v1 Announce Type: new Abstract: Large language model (LLM)-based agents have been successfully deployed in many tool-augmented settings, but their scalability is fundamentally constrained by...
arXiv:2601.18289v1 Announce Type: new Abstract: Quest2ROS2 is an open-source ROS2 framework for bi-manual teleoperation designed to scale robot data collection. Extending Quest2ROS, it overcomes workspace...
arXiv:2601.18292v1 Announce Type: new Abstract: In recent years, safety risks associated with large language models have become increasingly prominent, highlighting the urgent need to mitigate...
arXiv:2601.18294v1 Announce Type: new Abstract: Cooperative control of groups of autonomous vehicles (AVs), i.e., platoons, is a promising direction to improving the efficiency of autonomous...
arXiv:2601.18296v1 Announce Type: new Abstract: Temporal Knowledge Graph Question Answering (TKGQA) is inherently challenging, as it requires sophisticated reasoning over dynamic facts with multi-hop dependencies...
arXiv:2601.18298v1 Announce Type: new Abstract: Traditional cellular networks struggle with poor quality of service (QoS) for cell-edge users, while cell-free (CF) systems offer uniform QoS...
arXiv:2601.18300v1 Announce Type: new Abstract: Simulation techniques such as the finite element method are essential for designing electrical devices, but their computational cost can be...
arXiv:2601.18301v1 Announce Type: new Abstract: Range-view projection provides an efficient method for transforming 3D LiDAR point clouds into 2D range image representations, enabling effective processing...
arXiv:2601.18302v1 Announce Type: new Abstract: This paper discusses the internal behavior of Transformer language models. Many recent pre-trained models have been reported to exhibit only...
arXiv:2601.18303v1 Announce Type: new Abstract: Consider a 4-player version of Matching Pennies where a team of three players competes against the Devil. Each player simultaneously...
arXiv:2601.18305v1 Announce Type: new Abstract: With the widespread adoption of Graphical User Interface (GUI) agents for automating GUI interaction tasks, substantial research focused on improving...
arXiv:2601.18306v1 Announce Type: new Abstract: Quantization is an effective technique for reducing the storage footprint and computational costs of Large Language Models (LLMs), but it...
arXiv:2601.18308v1 Announce Type: new Abstract: As climate-related hazards intensify, conventional early warning systems (EWS) disseminate alerts rapidly but often fail to trigger timely protective actions,...
arXiv:2601.18313v1 Announce Type: new Abstract: This paper presents a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference...
arXiv:2601.18314v1 Announce Type: new Abstract: We report the design, protocol, and outcomes of a student reproducibility hackathon focused on replicating the results of three influential...
arXiv:2601.18315v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into wireless networks presents significant potential for automating system design. However, unlike conventional...
arXiv:2601.18320v1 Announce Type: new Abstract: Real-world visualization tasks involve complex, multi-modal requirements that extend beyond simple text-to-chart generation, requiring reference images, code examples, and iterative...
arXiv:2601.18321v1 Announce Type: new Abstract: Multimodal emotion analysis is shifting from static classification to generative reasoning. Beyond simple label prediction, robust affective reasoning must synthesize...
arXiv:2601.18323v1 Announce Type: new Abstract: The vision-language-action (VLA) paradigm has enabled powerful robotic control by leveraging vision-language models, but its reliance on large-scale, high-quality robot...
arXiv:2601.18326v1 Announce Type: new Abstract: We propose a drone signal out-of-distribution detection (OODD) algorithm based on the cognitive fusion of Zadoff-Chu (ZC) sequences and time-frequency...
arXiv:2601.18328v1 Announce Type: new Abstract: We introduce the notion of an Active Proxy interface, i.e. tangible models as proxies for physical data referents, supporting interactive...
arXiv:2601.18329v1 Announce Type: new Abstract: We propose a drone signal out-of-distribution (OOD) detection algorithm based on discriminability-driven spatial-channel selection with a gradient norm. Time-frequency image...
arXiv:2601.18334v1 Announce Type: new Abstract: As LLMs are increasingly integrated into clinical workflows, their tendency for sycophancy, prioritizing user agreement over factual accuracy, poses significant...