ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models

ImpossibleBench: Measuring LLMs’ Propensity of Exploiting Test Cases

Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

Reasoning with Sampling: Your Base Model is Smarter Than You Think

DeepSeek-OCR: Contexts Optical Compression

The Markovian Thinker

DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL

Towards a Physics Foundation Model

Scalable Option Learning in High-Throughput Environments

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reverse-Engineered Reasoning for Open-Ended Generation

Scaling Performance of Large Language Model Pretraining

General Social Agents

We need a new ethics for a world of AI agents

Hierarchical Reasoning Model

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

Small Language Models are the Future of Agentic AI

Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents

Why Language Models Hallucinate