Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
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2504.01990
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Published
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272
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InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 251 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 53 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 52 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 100 -
Rethinking Reflection in Pre-Training
Paper • 2504.04022 • Published • 77 -
AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
Paper • 2504.01014 • Published • 67 -
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing
Paper • 2504.07964 • Published • 61 -
An Empirical Study of GPT-4o Image Generation Capabilities
Paper • 2504.05979 • Published • 62 -
The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
Paper • 2504.15521 • Published • 62 -
Inference-Time Scaling for Generalist Reward Modeling
Paper • 2504.02495 • Published • 54 -
One-Minute Video Generation with Test-Time Training
Paper • 2504.05298 • Published • 100 -
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 83 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 27 -
Improving Video Generation with Human Feedback
Paper • 2501.13918 • Published • 50 -
ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
Paper • 2503.11647 • Published • 140 -
Survey on Evaluation of LLM-based Agents
Paper • 2503.16416 • Published • 89 -
Token-Efficient Long Video Understanding for Multimodal LLMs
Paper • 2503.04130 • Published • 94 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 114 -
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Paper • 2501.09732 • Published • 72 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 276 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 74 -
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
Paper • 2501.04001 • Published • 46 -
A Survey of Interactive Generative Video
Paper • 2504.21853 • Published • 36