Author: insights

1. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning 🔑 Keywords: DeepSeek-R1-Zero, DeepSeek-R1, Reinforcement Learning, Reasoning Models, Open-source 💡 Category: Reinforcement […]

1. Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training 🔑 Keywords: Large Language Models, Intelligent Agent, Self-Training Framework, Error Correction, […]

1. GameFactory: Creating New Games with Generative Interactive Videos 🔑 Keywords: Generative game engines, scene generalization, video diffusion models, action-controllable 💡 Category: […]

1. Evolving Deeper LLM Thinking 🔑 Keywords: Mind Evolution, Inference time compute, Language model, Natural language planning 💡 Category: Natural Language Processing […]

1. Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps 🔑 Keywords: Generative Models, Large Language Models, Diffusion Models, Inference-time Scaling 💡 […]

1. Towards Best Practices for Open Datasets for LLM Training 🔑 Keywords: Copyright, Legal Challenges, AI Models, Transparency, Open Access 💡 Category: […]

1. MiniMax-01: Scaling Foundation Models with Lightning Attention 🔑 Keywords: MiniMax-01, Lightning Attention, Mixture of Experts, Vision-Language Model 💡 Category: Generative Models […]

1. The Lessons of Developing Process Reward Models in Mathematical Reasoning 🔑 Keywords: Process Reward Models, Large Language Models, Monte Carlo estimation, […]

1. VideoRAG: Retrieval-Augmented Generation over Video Corpus 🔑 Keywords: Retrieval-Augmented Generation, Multi-Modal Learning, VideoRAG, Large Video Language Models, Video Integration 💡 Category: […]

1. The GAN is dead; long live the GAN! A Modern GAN Baseline 🔑 Keywords: GAN Loss, Regularization, AI Native, Modernization, R3GAN […]

1. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking 🔑 Keywords: Small Language Models, Math Reasoning, Monte Carlo Tree […]

1. REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models 🔑 Keywords: Reinforcement Learning, Human Feedback, REINFORCE++, Proximal Policy Optimization, […]