Training Agents to Evolve with Their Harness: TaoLive Digital Avatar Agent Technical Report
AI-powered digital avatar streamers must answer product questions, engage viewers, and execute marketing strategies i...
每天自动聚合 AI 领域最新动态
AI-powered digital avatar streamers must answer product questions, engage viewers, and execute marketing strategies i...
Reusable skill libraries allow large language model (LLM) agents to reuse procedural knowledge across tasks, but they...
Explicit visual intermediates can help multimodal large language models (MLLMs) externalize spatial evidence and upda...
Recent prominent post-training methods, such as Reinforcement Learning (RL) and On-Policy Self-Distillation (OPSD), h...
Modern video games combine first-person perception, rapid visual changes, persistent world state, and heterogeneous n...
While generative AI has significantly advanced video editing, existing methods primarily focus on single-shot or shor...
Native 3D generators now recover impressive mesh geometry from a single image. However, a dense mesh stays soft where...
A common strategy for scaling world models is to train on more crawled video with more compute. We argue that this st...
Long-horizon agent runs generate experience that can improve both the current run and future work. Most self-improvem...
We introduce LibriBrain100, a large-scale MEG dataset for speech decoding designed from the ground up for reproducibl...
The development of 0.1^{circ} global weather forecasting models based on machine learning (ML) is constrained by the ...
Test-time scaling uses extra test-time compute to improve performance, such as letting language models reason longer ...