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arXiv:2512.20113v3 Announce Type: replace Abstract: Subsurface delaminations in concrete bridge decks remain undetectable through conventional visual inspection, necessitating automated non-destructive evaluation methods. This work introduces...
arXiv:2512.21446v2 Announce Type: replace Abstract: Masked diffusion language models (MDLMs) offer the potential for parallel token generation, but most open-source MDLMs decode fewer than 5...
arXiv:2512.21736v3 Announce Type: replace Abstract: High-quality AI-powered video dubbing demands precise audio-lip synchronization, high-fidelity visual generation, and faithful preservation of identity and background. Most existing...
arXiv:2512.22170v2 Announce Type: replace Abstract: Post-training alignment of video generation models with human preferences is a critical goal. Developing effective Reward Models (RMs) for this...
arXiv:2512.22283v3 Announce Type: replace Abstract: PINNs enhance scientific computing by incorporating physical laws into neural network structures, leading to significant advancements in scientific computing. However,...
arXiv:2512.22894v2 Announce Type: replace Abstract: Deceptive UI designs, widely instantiated across the web and commonly known as dark patterns, manipulate users into performing actions misaligned...
arXiv:2512.23075v2 Announce Type: replace Abstract: Policy gradient methods for Large Language Models optimize a policy $\pi_\theta$ via a surrogate objective computed from samples of a...
arXiv:2512.23087v2 Announce Type: replace Abstract: Reinforcement Learning (RL) for Large Language Models (LLMs) faces a fundamental tension: the numerical divergence between high-throughput inference engines and...
arXiv:2512.23213v2 Announce Type: replace Abstract: We propose LLM-PeerReview, an unsupervised LLM Ensemble method that selects the most ideal response from multiple LLM-generated candidates for each...
arXiv:2512.23829v2 Announce Type: replace Abstract: Inverse problems are important mathematical problems that seek to recover model parameters from noisy data. Since inverse problems are often...
arXiv:2512.24985v3 Announce Type: replace Abstract: Vision Language Models (VLMs) are increasingly adopted as central reasoning modules for embodied agents. Existing benchmarks evaluate their capabilities under...
arXiv:2601.01754v2 Announce Type: replace Abstract: Transformers excel empirically on tasks that process well-formed inputs according to some grammar, such as natural language and code. However,...
arXiv:2601.02075v4 Announce Type: replace Abstract: Molecular dynamics (MD) simulations are essential for understanding atomic-scale behaviors in materials science, yet writing LAMMPS scripts remains highly specialized...
arXiv:2601.02243v2 Announce Type: replace Abstract: We develop a mathematical framework for the optimal scheduling of flexible water desalination plants (WDPs) as hybrid generator-load resources. WDPs...
arXiv:2601.02278v2 Announce Type: replace Abstract: Three-phase asynchronous motor are fundamental components in industrial systems, and their failure can lead to significant operational downtime and economic...
arXiv:2601.02885v2 Announce Type: replace Abstract: Defining agency is an extremely important challenge for cognitive science and artificial intelligence. Physics generally describes mechanical happenings, but there...
arXiv:2601.03596v2 Announce Type: replace Abstract: Few-shot segmentation (FSS) aims to rapidly learn novel class concepts from limited examples to segment specific targets in unseen images,...
arXiv:2601.04301v2 Announce Type: replace Abstract: As frontier AI systems are pretrained on web-scale data, test set contamination has become a critical concern for accurately assessing...
arXiv:2601.08052v2 Announce Type: replace Abstract: Dairy farming is an energy intensive sector that relies heavily on grid electricity. With increasing renewable energy integration, sustainable energy...
arXiv:2601.08118v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used as human simulators, both for evaluating conversational systems and for generating fine-tuning data....
arXiv:2601.08414v3 Announce Type: replace Abstract: Real-time multi-camera 3D reconstruction is crucial for 3D perception, immersive interaction, and robotics. Existing methods struggle with multi-view fusion, camera...
arXiv:2601.08776v3 Announce Type: replace Abstract: Cycle-Consistent Adversarial Network (CycleGAN) is very promising in domain adaptation. In this report, an example in medical domain will be...
arXiv:2601.09347v2 Announce Type: replace Abstract: We study the problem of maximizing R{\'e}nyi entropy of order $2$ (equivalently, minimizing the index of coincidence) over the set...
arXiv:2601.14327v2 Announce Type: replace Abstract: Although Mixture-of-Experts (MoE) Large Language Models (LLMs) deliver superior accuracy with a reduced number of active parameters, their pre-training represents...