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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...

SafeMT: Multi-turn Safety for Multimodal Language Models

arXiv:2510.12133v1 Announce Type: new Abstract: With the widespread use of multi-modal Large Language models (MLLMs)...

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...

Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions

arXiv:2508.08287v1 Announce Type: new Abstract: Despite the increasing usage of Large Language Models (LLMs) in...

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)...

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