「Fine-tuning」の検索結果
13 件Large language models are increasingly used in K-12 education, but existing benchmarks mainly test exam questi
Text-to-video generation has advanced significantly over the past five years through scaling of model size, da
Structural fidelity is essential to scientific methodology diagrams. To communicate research logic, these diag
Video spatial reasoning is essential for navigation-oriented perception and long-video question answering, whe
In line with the prevailing direction of vision research, we explore the integration of both generation and ed
We propose Token-Level Off-Policy Labeling (TOPL), an off-policy training paradigm that reframes post-training
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. H
The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robo
Reinforcement learning (RL) has become central to improving large language models (LLMs) on complex reasoning
We present Xiaomi-Robotics-1, a foundational vision-language-action (VLA) model capable of (1) following diver
Despite recent scaling successes, multilingual ASR performance remains highly uneven, with long-tail languages
Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning r
Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environment