Scaling and Transferability of Annealing Strategies in Large Language Model Training
arXiv:2512.13705v1 Announce Type: cross Abstract: Learning rate scheduling is crucial for training large language models, yet understanding the optimal annealing…
MultiBanAbs: A Comprehensive Multi-Domain Bangla Abstractive Text Summarization Dataset
arXiv:2511.19317v1 Announce Type: cross Abstract: This study developed a new Bangla abstractive summarization dataset to generate concise summaries of Bangla…
Leveraging LLMs for Structured Data Extraction from Unstructured Patient Records
arXiv:2512.13700v1 Announce Type: new Abstract: Manual chart review remains an extremely time-consuming and resource-intensive component of clinical research, requiring experts…
Non-Resolution Reasoning (NRR): A Computational Framework for Contextual Identity and Ambiguity Preservation
arXiv:2512.13478v2 Announce Type: replace-cross Abstract: Current artificial intelligence systems, despite remarkable capabilities in text generation and pattern recognition, exhibit a…
Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity
arXiv:2512.14320v1 Announce Type: cross Abstract: Text-guided image editing via diffusion models, while powerful, raises significant concerns about misuse, motivating efforts…
From YOLO to VLMs: Advancing Zero-Shot and Few-Shot Detection of Wastewater Treatment Plants Using Satellite Imagery in MENA Region
arXiv:2512.14312v1 Announce Type: cross Abstract: In regions of the Middle East and North Africa (MENA), there is a high demand…
Efficient Adaptive Rejection Sampling for Accelerating Speculative Decoding in Large Language Models
arXiv:2512.13194v2 Announce Type: replace-cross Abstract: Speculative Decoding is a prominent technique for accelerating the autoregressive inference of large language models…
A Monad-Based Clause Architecture for Artificial Age Score (AAS) in Large Language Models
arXiv:2512.11835v1 Announce Type: new Abstract: Large language models (LLMs) are often deployed as powerful yet opaque systems, leaving open how…
WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
arXiv:2512.11047v2 Announce Type: replace-cross Abstract: Humanoid robots require precise locomotion and dexterous manipulation to perform challenging loco-manipulation tasks. Yet existing…
Content Adaptive based Motion Alignment Framework for Learned Video Compression
arXiv:2512.12936v1 Announce Type: cross Abstract: Recent advances in end-to-end video compression have shown promising results owing to their unified end-to-end…