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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 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...

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...

Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for LLM Agents

AI agents powered by LLMs show great promise for handling complex business tasks, especially in...

Sakana AI Introduces Text-to-LoRA (T2L): A Hypernetwork that Generates Task-Specific LLM Adapters (LoRAs) based on a Text Description of the Task

Transformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation...

SAEMark: Multi-bit LLM Watermarking with Inference-Time Scaling

arXiv:2508.08211v1 Announce Type: new Abstract: Watermarking LLM-generated text is critical for content attribution and misinformation...

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