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arXiv:2603.04750v1 Announce Type: new Abstract: Sequential LLM agents fail on long-horizon planning with hard constraints like budgets and diversity requirements. As planning progresses and context...
arXiv:2603.04751v1 Announce Type: new Abstract: Integrating web search tools has significantly extended the capability of LLMs to address open-world, real-time, and long-tail problems. However, evaluating...
arXiv:2603.04754v1 Announce Type: new Abstract: Visual design instructors often provide multi-modal feedback, mixing annotations with text. Prior theory emphasizes the importance of actionable feedback, where...
arXiv:2603.04755v1 Announce Type: new Abstract: Obstructive sleep apnea (OSA) is a sleep disorder that affects nearly one billion people globally and significantly elevates cardiovascular risk....
arXiv:2603.04756v1 Announce Type: new Abstract: MOOSEnger is a tool-enabled AI agent tailored to the Multiphysics Object-Oriented Simulation Environment (MOOSE). MOOSE cases are specified in HIT...
arXiv:2603.04757v1 Announce Type: new Abstract: While modular robots offer versatility, excessive joint torque during locomotion poses a significant risk of mechanical failure, especially for detachable...
arXiv:2603.04759v1 Announce Type: new Abstract: The limited context window of contemporary large language models (LLMs) remains a primary bottleneck for their broader application across diverse...
arXiv:2603.04760v1 Announce Type: new Abstract: Modular reconfigurable robots require reliable mechanisms for automated module exchange, but conventional rigid active couplings often fail due to inevitable...
arXiv:2603.04761v1 Announce Type: new Abstract: Exploring lunar lava tubes requires robots to traverse without human intervention. Because pre-trained policies cannot fully cover all possible terrain...
arXiv:2603.04762v1 Announce Type: new Abstract: When individual robots have limited sensing capabilities or insufficient fault tolerance, it becomes necessary for multiple robots to form teams...
arXiv:2603.04763v1 Announce Type: new Abstract: The transition from task-specific artificial intelligence toward general-purpose foundation models raises fundamental questions about their capacity to support the integrated...
arXiv:2603.04766v1 Announce Type: new Abstract: Existing manual labeling of micro-expressions is subject to errors in accuracy, especially in cross-cultural scenarios where deviation in labeling of...
arXiv:2603.04767v1 Announce Type: new Abstract: Conditional time series generation plays a critical role in addressing data scarcity and enabling causal analysis in real-world applications. Despite...
arXiv:2603.04768v1 Announce Type: new Abstract: Equalizer parameter optimization is critical for signal integrity in high-speed memory systems operating at multi-gigabit data rates. However, existing methods...
arXiv:2603.04770v1 Announce Type: new Abstract: Digital subtraction angiography (DSA) is a key imaging technique for the auxiliary diagnosis and treatment of cerebrovascular diseases. Recent advancements...
arXiv:2603.04771v1 Announce Type: new Abstract: Dental crown restoration is one of the most common treatment modalities for tooth defect, where personalized dental crown design is...
arXiv:2603.04772v1 Announce Type: new Abstract: Despite the exceptional reasoning capabilities of Multimodal Large Language Models (MLLMs), their adaptation into universal embedding models is significantly impeded...
arXiv:2603.04774v1 Announce Type: new Abstract: This is the third of five papers comprising The Semantic Arrow of Time. Parts I and II identified computing's hidden...
arXiv:2603.04775v1 Announce Type: new Abstract: With the increasing deployment of intelligent sensing technologies in highly sensitive environments such as restrooms and locker rooms, visual surveillance...
arXiv:2603.04777v1 Announce Type: new Abstract: Near Field Communication (NFC) is a promising technology for ultra-low-power wearables, yet its short communication range limits its use to...
arXiv:2603.04779v1 Announce Type: new Abstract: The low-altitude economy (LAE) is a rapidly emerging paradigm that builds a service-centric economic ecosystem through large-scale and sustainable uncrewed...
arXiv:2603.04780v1 Announce Type: new Abstract: Causal discovery with latent variables is a fundamental task. Yet most existing methods rely on strong structural assumptions, such as...
arXiv:2603.04782v1 Announce Type: new Abstract: Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads...
arXiv:2603.04783v1 Announce Type: new Abstract: While LLMs demonstrate strong reasoning capabilities when provided with full information in a single turn, they exhibit substantial vulnerability in...