AI Research Made Simple
Research papers are such a pain to read. We break down the latest AI studies into clear, simple language that even your grandma can understand. Dive into the latest AI papers with straightforward explanations.
LLaDA2.1: Speeding Up Text Diffusion via Token Editing
2026 February
Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models
2026 February
AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents
2026 February
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
2026 February
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
2026 February
RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI
2026 February
Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning
2026 February
Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO
2026 February
GEBench: Benchmarking Image Generation Models as GUI Environments
2026 February
Towards Agentic Intelligence for Materials Science
2026 February
MOVA: Towards Scalable and Synchronized Video-Audio Generation
2026 February
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
2026 February