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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...

Sampling Without Data is Now Scalable: Meta AI Releases Adjoint Sampling for Reward-Driven Generative Modeling

Data Scarcity in Generative Modeling Generative models traditionally rely on large, high-quality datasets to produce...

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