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This paper addresses the challenge of improving large language model (LLM) reasoning capabilities through reinforcement learning (RL) when sparse reward signals are insufficient due to limited base…
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This paper addresses the increasingly cross-channel nature of SMS fraud, where a fraudulent text message directs a user to a webpage and risk depends on the joint consistency of the SMS claim, webp…
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This paper investigates the complex challenges and opportunities for integrating AI technologies into Emergency Medical Services (EMS), a high-stakes healthcare domain characterized by distributed …
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This paper addresses the emerging shift in web user tracking from traditional third-party tracking techniques to first-party tracking (FPT) and server-side tracking (SST)
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This paper addresses the gap between human dexterous grasping capabilities and multi-fingered robot grasping generality by directly learning from large-scale, in-the-wild human grasp data
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KVEraser addresses the computational challenge of post-hoc localized context erasing in long-context large language model (LLM) inference
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LabOSBench addresses the challenge of evaluating computer-use AI agents on scientific instrument GUIs, where controlling sophisticated devices involves complex, procedural, feedback-driven workflows
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This survey paper addresses the emerging field of shape space analysis, a mathematical and computational framework for studying datasets whose observations have intrinsic geometric structure
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This study tackles the observational gap linking nuclear quasar winds to their extended galactic-scale outflows across parsec-to-kiloparsec scales
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MYPCBENCH addresses a significant gap in evaluating personal assistant agents for computers — current benchmarks test agents in impersonal, empty environments, lacking persistent user data, context,…
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This work addresses the significant bottleneck in training computer-use agents (CUAs), models that interact with full graphical desktop environments via screenshots and keyboard/mouse actions
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This paper addresses a major challenge in robotic Vision-Language-Action (VLA) model post-training, specifically for complex humanoid robots with dexterous hands
