评估多模态大模型操作中心链式思维推理能力的新基准，强调接地与可验证性。
arXiv:2605.19559v1 Announce Type: new Abstract: The rapid development of Multimodal Large Language Models (MLLMs) has led to growing interest in egoce…
闭环验证推理突破复杂视觉生成，用可验证的多步推理解决规划幻觉问题，效果惊艳。
arXiv:2605.14876v1 Announce Type: cross Abstract: Despite rapid advancements, current text-to-image (T2I) models predominantly rely on a single-step g…
视频扩散模型不再只求逼真，引入强化学习实现时空逻辑约束下的可验证推理，提升智能体规划能力。
arXiv:2605.15458v1 Announce Type: new Abstract: Video diffusion models have made rapid progress in perceptual realism and temporal coherence, but they…
SpeakerLLM 将说话人理解与验证推理整合到自然语言界面，不仅区分‘是谁’，还能解释声音轮廓、录音条件等证据，为可解释的说话人认知铺平道路——这比单纯打分有用得多。
arXiv:2605.15044v1 Announce Type: cross Abstract: As audio-first agents become increasingly common in physical AI, conversational robots, and screenle…