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Scikit-Ollama for Scikit-LLM/Ollama Integration
In this article, you will learn how scikit-ollama bridges the scikit-learn interface with locally running...
Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM?
In recent years, generative AI models like LLMs (large language models) have gradually taken over...
Scientists’ First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
arXiv:2506.10521v2 Announce Type: replace-cross Abstract: Scientific discoveries increasingly rely on complex multimodal reasoning based on...
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
arXiv:2504.02438v5 Announce Type: replace Abstract: Long-form video processing fundamentally challenges vision-language models (VLMs) due to...
Scaling Truth: The Confidence Paradox in AI Fact-Checking
arXiv:2509.08803v1 Announce Type: cross Abstract: The rise of misinformation underscores the need for scalable and...
Scaling Multimodal Search and Recommendation with Small Language Models via Upside-Down Reinforcement Learning
arXiv:2502.09854v2 Announce Type: replace Abstract: In this work, we investigate how small language models (SLMs)...
Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis
arXiv:2505.13227v2 Announce Type: replace-cross Abstract: Graphical user interface (GUI) grounding, the ability to map natural...
ScaleFormer: Span Representation Cumulation for Long-Context Transformer
arXiv:2511.10029v1 Announce Type: new Abstract: The quadratic complexity of standard self-attention severely limits the application...
ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
arXiv:2506.19848v1 Announce Type: cross Abstract: This paper presents ScaleCap, an inference-time scalable image captioning strategy...
SAS: Simulated Attention Score
arXiv:2507.07694v1 Announce Type: new Abstract: The attention mechanism is a core component of the Transformer...
Samsung’s chip workers are jumping ship to rival SK Hynix
Lee, an engineer at Samsung’s semiconductor division, clocks out when his shift ends. He used...
Samsung Researchers Introduced ANSE (Active Noise Selection for Generation): A Model-Aware Framework for Improving Text-to-Video Diffusion Models through Attention-Based Uncertainty Estimation
Video generation models have become a core technology for creating dynamic content by transforming text...
