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Rethinking RL for LLM Reasoning: It’s Sparse Policy Selection, Not Capability Learning

arXiv:2605.06241v1 Announce Type: new Abstract: Reinforcement learning has become the standard for improving reasoning in...

Rethinking organizational design in the age of agentic AI

Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and...

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey

arXiv:2602.06052v3 Announce Type: replace Abstract: The research of artificial intelligence is undergoing a paradigm shift...

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...

Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models

arXiv:2602.01698v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) have recently achieved strong mathematical and...

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...

Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces

arXiv:2512.08960v1 Announce Type: cross Abstract: Low-Rank Adaptation (LoRA) enables efficient Continual Learning but often suffers...

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