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Alignment Is All You Need For X-to-4D Generation
This paper addresses the challenging problem of generating coherent 4D content (dynamic 3D with temporal motion) conditioned on arbitrary input modalities.
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Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
This paper addresses the challenge of scalable and reliable grading of Linux/bash command-line examination responses, which are typically short text.
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Beyond Pixel Diffs: Benchmarking Image Change Captioning for Web UI Visual Regression Testing
This paper addresses a significant shortcoming in Visual Regression Testing (VRT) for web user interfaces (UIs), where the dominant pixel-level comparison.
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Beyond Skepticism: Evaluating LLMs Pedagogical Intent Reasoning with the Adaptive Pedagogical Vigilance Framework
This paper addresses the underexplored problem of whether large language models (LLMs) can reason about pedagogical intent in instructional communication.
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Choreographing the Way of Water: A Computational Framework for Aquatic Robotic Art
This paper addresses the complex problem of choreographing autonomous surface vessels (ASVs) for artistic aquatic performances in unpredictable and.
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Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning
This paper addresses key challenges in visual token pruning for vision-language models (VLMs), which aim to accelerate inference by selecting a smaller.
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Cone domains separate FS-domains from RB-domains
This paper addresses a long-standing question in domain theory posed by Keimel regarding the classification of cone domains as FS-domains and RB-domains.
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Congestion-Based Slot Pricing in a Railway Auction Game
This paper addresses the challenge of allocating discrete, congested railway infrastructure slots among heterogeneous train operators in a deregulated market.
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DemoPSD: Disagreement-Modulated Policy Self-Distillation
This paper addresses a critical challenge in on-policy self-distillation (OPSD) for large language models: privileged information leakage.
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Distributed Attacks in Persistent-State AI Control
This paper investigates a novel security challenge in AI-assisted software development: distributed and timed attacks conducted by potentially misaligned.
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EAGLE-360: Embodied Active Global-to-Local Exploration in 360$^\circ$
EAGLE-360 addresses the fundamental challenge of active visual search in 360-degree panoramic environments, where conventional Multimodal Large Language.
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Extreme Adaptive Transformer for Time Series Forecasting
This paper addresses the challenge of accurately forecasting time series that contain rare but crucial extreme events, with a focus on hydrologic.