Notizie
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)...
Roblox breaks ground on data center in Brazil for early 2026
At Gamescom Latam, Roblox announced it has broken ground on a new data center in Brazil...
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
arXiv:2411.08165v2 Announce Type: replace-cross Abstract: The Knowledge Graph Completion~(KGC) task aims to infer the missing...
Rethinking Verification for LLM Code Generation: From Generation to Testing
arXiv:2507.06920v2 Announce Type: replace Abstract: Large language models (LLMs) have recently achieved notable success in...
Rethinking AI: DeepSeek’s playbook shakes up the high-spend, high-compute paradigm
DeepSeek’s advancements were inevitable, but the company brought them forward a few years earlier than...
Retail Resurrection: David’s Bridal bets its future on AI after double bankruptcy
How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model...
Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective
arXiv:2506.02553v1 Announce Type: cross Abstract: We study a common challenge in reinforcement learning for large...
Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPO
The effectiveness of language models relies on their ability to simulate human-like step-by-step deduction. However...
