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This paper addresses the underexplored problem of evaluating factual completeness in long-form open-ended generation, a complementary dimension of.
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This work addresses the fundamental challenge of maintaining the fidelity and trustworthiness of neural-network-based Digital Twins under evolving.
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This paper addresses the practical limitations in dengue transmission modeling by incorporating finite hospital capacity and a threshold-based fogging.
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This paper addresses the critical challenge of enabling effective AI agent communications within the emerging AI-native 6G network paradigm.
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This paper addresses the challenge of anomaly detection in large-scale cloud systems (LCSs), where continuous telemetry logs produce extremely.
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This paper addresses the core challenge in physical AI systems of enabling multiple heterogeneous sensing devices to efficiently coordinate and perform.
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This paper addresses the problem of subgroup fairness in clustering when multiple sensitive attributes induce an exponential number of subgroups, many of.
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This paper addresses the problem of customizing prerecorded orchestral accompaniments in Music Minus One (MMO) recordings to better synchronize with a.
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This paper addresses the challenge of deploying large language models (LLMs) for customer-service bots with strict evidence grounding, compliance to.
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The paper addresses the challenge of Human-Object Centric Video Personalization (HOCVP), a subject-driven video generation task that aims to generate.
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This paper addresses the sim-to-real gap challenge in reinforcement learning (RL) based locomotion for quadruped robots.
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This paper addresses the challenge of panoptic segmentation in scenes with occlusions, a common problem where current transformer-based methods still.
