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arXiv:2601.17733v1 Announce Type: new Abstract: Boundary Representation (B-Rep) is the widely adopted standard in Computer-Aided Design (CAD) and manufacturing. However, generative modeling of B-Reps remains...
arXiv:2601.17735v1 Announce Type: new Abstract: Relational databases (RDBs) play a crucial role in many real-world web applications, supporting data management across multiple interconnected tables. Beyond...
arXiv:2601.17736v1 Announce Type: new Abstract: Interactivity is crucial for effective data visualizations. However, it is often challenging to implement interactions for existing static visualizations, since...
arXiv:2601.17737v2 Announce Type: new Abstract: Recent advances in video generation have produced models capable of synthesizing stunning visual content from simple text prompts. However, these...
arXiv:2601.17740v1 Announce Type: new Abstract: Sewing patterns define the structural foundation of garments and are essential for applications such as fashion design, fabrication, and physical...
arXiv:2601.17741v1 Announce Type: new Abstract: Implicit Neural Representations (INRs) have emerged as a promising paradigm for video compression. However, existing INR-based frameworks typically suffer from...
arXiv:2601.17743v1 Announce Type: new Abstract: Video compression has recently benefited from implicit neural representations (INRs), which model videos as continuous functions. INRs offer compact storage...
arXiv:2601.17744v1 Announce Type: new Abstract: Autonomous agent systems increasingly trigger real-world side effects: deploying infrastructure, modifying databases, moving money, and executing workflows. Yet most agent...
arXiv:2601.17745v1 Announce Type: new Abstract: Prior studies on the effectiveness of professional jury consultants in predicting juror proclivities have yielded mixed results, and few have...
arXiv:2601.17747v1 Announce Type: new Abstract: Change detection (CD) aims to identify surface changes from multi-temporal remote sensing imagery. In real-world scenarios, Pixel-level change labels are...
arXiv:2601.17753v1 Announce Type: new Abstract: Research keyloggers are essential for cognitive studies of text production, yet most fail to capture the on-screen transformations performed by...
arXiv:2601.17754v1 Announce Type: new Abstract: The Cerebras Wafer-Scale Engine (WSE) delivers performance at an unprecedented scale of over 900,000 compute units, all connected via a...
arXiv:2601.17755v1 Announce Type: new Abstract: Graph Retrieval-Augmented Generation (GraphRAG) has been successfully applied in various knowledge-intensive question answering tasks by organizing external knowledge into structured...
arXiv:2601.17756v2 Announce Type: new Abstract: Existing Subject-to-Video Generation (S2V) methods have achieved high-fidelity and subject-consistent video generation, yet remain constrained to single-view subject references. This...
arXiv:2601.17761v1 Announce Type: new Abstract: Real-world perception and interaction are inherently multimodal, encompassing not only language but also vision and speech, which motivates the development...
arXiv:2601.17762v1 Announce Type: new Abstract: Software vulnerability management has become increasingly critical as modern systems scale in size and complexity. However, existing automated approaches remain...
arXiv:2601.17764v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved significant success in recent years; yet, issues of intrinsic gender bias persist, especially in...
arXiv:2601.17767v1 Announce Type: new Abstract: Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urgent need for intelligent and data-driven diagnostic tools....
arXiv:2601.17768v1 Announce Type: new Abstract: In LLM inference, the same prompt may yield different outputs across different runs. At the system level, this non-determinism arises...
arXiv:2601.17769v1 Announce Type: new Abstract: Creative coding requires continuous translation between evolving concepts and computational artifacts, making reflection essential yet difficult to sustain. Creators often...
arXiv:2601.17772v1 Announce Type: new Abstract: Are there hidden dynamical common patterns in the evolution of social and cultural history? While the growing availability of digitized...
arXiv:2601.17774v1 Announce Type: new Abstract: Distributed Graph Neural Network (GNN) training suffers from substantial communication overhead due to the inherent neighborhood dependency in graph-structured data....
arXiv:2601.17777v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is a crucial step for adapting large language models (LLMs) to downstream tasks. However, conflicting objectives across...
arXiv:2601.17781v1 Announce Type: new Abstract: The way our eyes move while reading can tell us about the cognitive effort required to process the text. In...