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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...

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...

ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features

arXiv:2508.13953v1 Announce Type: new Abstract: In the hospitality industry, understanding the factors that drive customer...

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...

Retrieval-augmented reasoning with lean language models

arXiv:2508.11386v1 Announce Type: new Abstract: This technical report details a novel approach to combining reasoning...

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...

REST: A Stress-Testing Framework for Evaluating Multi-Problem Reasoning in Large Reasoning Models

Large Reasoning Models (LRMs) have rapidly advanced, exhibiting impressive performance in complex problem-solving tasks across...

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...

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