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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...

s3: The new RAG framework that trains search agents with minimal data

S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with...

RSAC 2025: Why the AI agent era means more demand for CISOS

RSAC 2025 made one thing clear: AI agents are entering security workflows, but boards want...

Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning

arXiv:2505.00001v1 Announce Type: new Abstract: Large Language Models (LLMs) are primarily trained on high-resource natural...

Robust Multimodal Large Language Models Against Modality Conflict

arXiv:2507.07151v1 Announce Type: cross Abstract: Despite the impressive capabilities of multimodal large language models (MLLMs)...

RoboBrain 2.0: The Next-Generation Vision-Language Model Unifying Embodied AI for Advanced Robotics

Advancements in artificial intelligence are rapidly closing the gap between digital reasoning and real-world interaction...
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