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arXiv:2601.17680v1 Announce Type: new Abstract: The Mixture of Experts (MoE) selects a few feed-forward networks (FFNs) per token, achieving an effective trade-off between computational cost...
arXiv:2601.17683v1 Announce Type: new Abstract: Control barrier functions guarantee safety but typically require accurate system models. Parametric uncertainty invalidates these guarantees. Existing robust methods maintain...
arXiv:2601.17684v1 Announce Type: new Abstract: Due to the fundamental connection between next-symbol prediction and compression, modern predictive models, such as large language models (LLMs), can...
arXiv:2601.17685v1 Announce Type: new Abstract: Recently, some window functions have been introduced into the nonuniform fast Fourier transform and the regularized Shannon sampling. Inspired by...
arXiv:2601.17687v1 Announce Type: new Abstract: Language models are revolutionizing the biochemistry domain, assisting scientists in drug design and chemical synthesis with high efficiency. Yet current...
arXiv:2601.17689v1 Announce Type: new Abstract: Applications of Implicit Neural Representations (INRs) have emerged as a promising deep learning approach for compactly representing large volumetric datasets....
arXiv:2601.17690v1 Announce Type: new Abstract: Audio fingerprinting provides an identifiable representation of acoustic signals, which can be later used for identification and retrieval systems. To...
arXiv:2601.17692v1 Announce Type: new Abstract: Statute retrieval is essential for legal assistance and judicial decision support, yet real-world legal queries are often implicit, multi-issue, and...
arXiv:2601.17697v1 Announce Type: new Abstract: Representing artistic style is challenging due to its deep entanglement with semantic content. We propose StyleDecoupler, an information-theoretic framework that...
arXiv:2601.17699v1 Announce Type: new Abstract: While large language models (LLMs) have substantially improved Text-to-SQL generation, a pronounced gap remains between AI systems and human experts...
arXiv:2601.17702v1 Announce Type: new Abstract: Large language models are increasingly applied to multi-document and long-form inputs, yet long-context inference remains memory- and noise-inefficient. Key-value (KV)...
arXiv:2601.17703v1 Announce Type: new Abstract: Understanding sickle cell dynamics requires accurate identification of morphological transitions under diverse biophysical conditions, particularly in densely packed and overlapping...
arXiv:2601.17705v1 Announce Type: new Abstract: A measure of similarity between text embeddings can be considered adequate only if it adheres to the human perception of...
arXiv:2601.17706v1 Announce Type: new Abstract: Images often communicate more than they literally depict: a set of tools can suggest an occupation and a cultural artifact...
arXiv:2601.17707v1 Announce Type: new Abstract: Balanced butterfly counting, corresponding to counting balanced (2, 2)-bicliques, is a fundamental primitive in the analysis of signed bipartite graphs...
arXiv:2601.17708v1 Announce Type: new Abstract: High-order meshes are crucial for achieving optimal convergence rates in curvilinear domains, preserving symmetry, and aligning with key flow features...
arXiv:2601.17711v1 Announce Type: new Abstract: Distributed microphone array (DMA) is a promising next-generation platform for speech interaction, where speech enhancement (SE) is still required to...
arXiv:2601.17713v1 Announce Type: new Abstract: With the rapid development of the Internet of Things (IoT), AI model training on private data such as human sensing...
arXiv:2601.17716v1 Announce Type: new Abstract: Large Language Models (LLMs) excel at many tasks but still struggle with a critical ability for LLM-based agents: asking good...
arXiv:2601.17717v2 Announce Type: new Abstract: Large Language Models (LLMs) have emerged as powerful tools for generating data across various modalities. By transforming data from a...
arXiv:2601.17720v1 Announce Type: new Abstract: Reconstructing accurate surfaces with radiance fields has progressed rapidly, yet two promising explicit representations, 3D Gaussian Splatting and sparse-voxel rasterization,...
arXiv:2601.17722v1 Announce Type: new Abstract: Recent advances in Multimodal Large Language Models (MLLMs) have enabled agents to operate in open-ended web and operating system environments....
arXiv:2601.17723v1 Announce Type: new Abstract: Implicit neural representation (INR) has become the standard approach for arbitrary-scale image super-resolution (ASSR). To date, no empirical study has...
arXiv:2601.17728v1 Announce Type: new Abstract: As AI systems become pervasive, grounding their behavior in human values is critical. Prior work suggests that language models (LMs)...