InfoVis:统一的幻灯片图像生成与编辑#
幻灯片生成与编辑需同时做到准确文字渲染、指令遵循、视觉定位、版式美感与精确编辑。作者定义四项幻灯片任务,构建含 1300 多万条持续预训练数据和 190 万条监督数据的数据引擎及诊断评测,训练统一模型。
▲ 28 AI 摘要 arXiv GitHub Jiahao Wang, Xiyan Jiang, Chenyuan Wu, Haoqiang Zhang · Beijing Academy of Artificial Intelligence
AI 深研院 · 共 8 条
Hugging Face Daily Papers 与 arXiv 精选
幻灯片生成与编辑需同时做到准确文字渲染、指令遵循、视觉定位、版式美感与精确编辑。作者定义四项幻灯片任务,构建含 1300 多万条持续预训练数据和 190 万条监督数据的数据引擎及诊断评测,训练统一模型。
▲ 28 AI 摘要 arXiv GitHub Jiahao Wang, Xiyan Jiang, Chenyuan Wu, Haoqiang Zhang · Beijing Academy of Artificial Intelligence
数据智能体训练受环境构建成本高、隐私与版权限制和开放式结论难验证所困。Data World 先设定文件背后的“世界”再生成文件,用多智能体引擎合成环境、任务与可验证答案,以规模化训练数据分析智能体。
▲ 28 AI 摘要 arXiv GitHub Zhanli Li, Zeyuan Xu, Chaoxu Pang, Zeyuan Liu · LongCat
现有视频字幕去除评测分辨率低、测试集零散,且沿用通用视频修复指标。MFVSR 构建大规模多风格基准,针对局部修复错误、误改、时序不稳和残留等问题设计细粒度、可靠性导向的评估。
▲ 12 AI 摘要 arXiv GitHub Xiyan Huang, Qingdong He, Peng Tang, Bo Yin
Complex and long-horizon agent tasks often rely on frontier models deployed in the cloud to achieve strong performance. However, using these models for every step of a long-horizon trajectory incurs substantial inferenc…
▲ 26 未翻译 arXiv Zeru Shi, Jindong Jiang, Ryo Hachiuma, Yonggan Fu · NVIDIA
Converting verifier outcomes into useful policy updates and partial progress into complete task resolution is crucial for terminal agents. We present Terminal-RSI, which alternates Recursive Self-Rewrite (RSR) of verifi…
▲ 26 未翻译 arXiv Junyao Yang, Zongxia Li, Yucheng Shi, Zhongzhi Li · Tencent
Interactive agents repeatedly choose among a finite set of actions, labels, or ordinal outcomes. Generating a free-form response for each choice adds latency and complicates the interface between a model and its environ…
▲ 25 未翻译 arXiv GitHub Tong Zhu, Zhe Xu, Zefeng He, Yunkai Chai · Intern Large Models
Reinforcement learning can align visual generators with reward signals beyond their pretraining objectives, but existing score-function methods typically introduce stochasticity by perturbing the reverse denoising traje…
▲ 23 未翻译 arXiv Qiuhong Shen, Yiding Yang, Yuxin Zhang, Xinwei Huang · National University of Singapore
Large language model agents solve tasks through long sequences of tool calls, and the prevailing design has a single strong model generate every step, although many steps are routine enough for a much smaller model. Exi…
▲ 21 未翻译 arXiv GitHub Zilin Wang, Yinhong Liu, Chao Chen, Qun Liu