arXiv:2604.00058v1 Announce Type: cross
Abstract: Genotype imputation enables dense variant coverage for genome-wide association and risk-prediction studies, yet conventional reference-panel methods remain limited by ancestry bias and reduced rare-var…
arXiv:2510.09997v2 Announce Type: replace-cross
Abstract: Level of Detail (LoD) is a fundamental technique in real-time computer graphics for managing the rendering costs of complex scenes while preserving visual fidelity. Traditionally, LoD is implem…
arXiv:2602.00750v2 Announce Type: replace-cross
Abstract: Large language models (LLMs) are increasingly used in interactive and retrieval-augmented systems, but they remain vulnerable to prompt injection attacks, where injected secondary prompts force…
arXiv:2604.00725v1 Announce Type: new
Abstract: End-to-end OCR for historical newspapers remains challenging, as models must handle long text sequences, degraded print quality, and complex layouts. While Transformer-based recognizers dominate current …
arXiv:2604.00057v1 Announce Type: cross
Abstract: Soccer commentary plays a crucial role in enhancing the soccer game viewing experience for audiences. Previous studies in automatic soccer commentary generation typically adopt an end-to-end method to …
arXiv:2507.16962v3 Announce Type: replace-cross
Abstract: Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protocols, or imagin…
arXiv:2512.00234v2 Announce Type: replace
Abstract: There has been significant progress in open-source text-only translation large language models (LLMs) with better language coverage and quality. However, these models can be only used in cascaded pip…
arXiv:2604.00696v1 Announce Type: new
Abstract: Recent video reasoning models have shown strong results on temporal and multimodal understanding, yet they depend on large-scale supervised data and multi-stage training pipelines, making them costly to …
arXiv:2604.00053v1 Announce Type: cross
Abstract: As large language models (LLMs) are increasingly used in domain-specific applications, including climate change and environmental research, understanding their energy footprint has become an important …
arXiv:2603.30008v2 Announce Type: replace
Abstract: Camouflaged object detection (COD) aims to identify targets that are highly blended with their backgrounds. Recent works have shown that the optical characteristics of polarization cues play a signif…