Category: Papers

1. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training 🔑 Keywords: supervised fine-tuning, reinforcement learning, model generalization, text-based rule […]

1. Baichuan-Omni-1.5 Technical Report 🔑 Keywords: Baichuan-Omni-1.5, omni-modal, audio generation, MLLM 💡 Category: Multi-Modal Learning 🌟 Research Objective: – To introduce Baichuan-Omni-1.5, […]

1. Humanity’s Last Exam 🔑 Keywords: Benchmarks, Large Language Models, LLM Capabilities, Humanity’s Last Exam, Multi-Modal 💡 Category: Natural Language Processing 🌟 […]

1. SRMT: Shared Memory for Multi-agent Lifelong Pathfinding 🔑 Keywords: Multi-agent reinforcement learning, Cooperative multi-agent problems, Shared Recurrent Memory Transformer, Coordination, Decentralized […]

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, […]