每日AI论文

我们每个工作日更新，解读 Hugging Face Daily Papers（https://huggingface.co/papers）中得票最高的论文。播客文稿和音频均由 AI 生成。欢迎反馈与建议！邮箱：dailypapercast.ai@gmail.com 创作者： Jingwen Liang，3D 机器学习，https://www.linkedin.com/in/jingwen-liang/ Gengyu Wang，LLM ML，http://wanggengyu.com 英文版收听： Spotify：https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXL Apple Podcasts：https://podcasts.apple.com/us/podcast/daily-paper-cast/id1777620236 封面图片：Kawen Kuang https://kawen.art

每日AI论文 is a general podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts 每日AI论文, a general show with 0 episodes published.

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• Episode #43

  LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers

  Aug 14, 202617 minS0

  <p>🤗 Upvotes: 90 | cs.CL</p> <p>作者:<br> Tao Feng, Fangxu Yu, Haozhen Zhang, Zhongjie Dai, Liangqi Yuan, Zijie Lei, Weizhi Zhang, Kunlun Zhu, Haodong Yue, Keyang Xuan, Ge Liu, Jiaxuan You</p> <p>标题:<br> LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers</p> <p>Arxiv:<br> http://arxiv.org/abs/2608.06867v1</p> <p>摘要:<br> No single large language model (LLM) is optimal across all queries and budget constraints, making model routing essential for cost-effective deployment. Existing routers adopt diverse formulations and implementations, making fair comparison and extension difficult. We present a unified formulation of LLM routing as a sequential deci...

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• Episode #42

  Alaya-EVOKE: From Linear-Scaling Supervision to Endless World

  Aug 14, 202618 minS0

  <p>🤗 Upvotes: 82 | cs.CV</p> <p>作者:<br> Yuanyang Yin, Gongxuan Wang, Yifan Zhan, Chuanhao Li, Kaipeng Zhang, Feng Zhao</p> <p>标题:<br> Alaya-EVOKE: From Linear-Scaling Supervision to Endless World</p> <p>Arxiv:<br> http://arxiv.org/abs/2608.13546v1</p> <p>摘要:<br> Interactive world models must support persistent memory, responsive interaction, and long-horizon generation, yet these requirements place conflicting demands on the model. Maintaining history in the denoiser context or key-value cache incurs growing cost, forcing a trade-off between session length and retained memory, while low-latency interaction relies on few-step generation whose capabilities are bounded by its teacher. Evoke addresses both limitations by...

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• Episode #41

  DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation

  Aug 14, 202615 minS0

  <p>🤗 Upvotes: 79 | cs.CV, cs.RO</p> <p>作者:<br> DreamX Team, Rui Chen, Xiangxiang Chu, Geng Li, Jifan Li, Qingfeng Shi, Datao Tang, Jing Tang, Jun Wang, Pengfei Zhang</p> <p>标题:<br> DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation</p> <p>Arxiv:<br> http://arxiv.org/abs/2608.13489v1</p> <p>摘要:<br> We present \textbf{DreamX-Phi 1.0}, an action-conditioned video world model for robotic manipulation that, given an observed frame, a language instruction, and a prescribed action sequence comprising end-effector poses and gripper states, predicts the resulting future observations. Yet realism alone does not guarantee faithfulness: a convincing rollout can still move the wrong...

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• Episode #40

  DarwinX: Evolving Agent Harnesses Through Natural Selection

  Aug 14, 202617 minS0

  <p>🤗 Upvotes: 59 | cs.NE, cs.AI, cs.LG, cs.SE</p> <p>作者:<br> Yifan Zhang, Yutong Dai, Juntao Tan, Luyu Yang, Rishi Mullur, Thai Hoang, Zhiyuan Hu, James Zhu, Phil Mui, Silvio Savarese, Ran Xu, Zeyuan Chen</p> <p>标题:<br> DarwinX: Evolving Agent Harnesses Through Natural Selection</p> <p>Arxiv:<br> http://arxiv.org/abs/2608.07545v1</p> <p>摘要:<br> An LLM agent's capability depends not only on model weights but on its harness: prompts, tools, skills, and control flow. Self-improvement loops already edit harnesses, yet single-lineage search is path-dependent and local wins often regress other tasks. We introduce DarwinX, which treats self-evo...

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• Episode #39

  Intern-S2-Preview: Scientific Agentic Foundation Model

  Aug 14, 202615 minS0

  <p>🤗 Upvotes: 43 | cs.LG, cs.CL, cs.CV</p> <p>作者:<br> Lei Bai, Jiaqi Cao, Chiyu Chen, Guanzhou Chen, Kai Chen, Guangran Cheng, Erfei Cui, Xuanlang Dai, Shengyuan Ding, Shangheng Du, Yanhui Duan, Yue Fan, Youqing Fang, Quan Gan, Yuanyuan Gao, Jiaye Ge, Lixin Gu, Yuzhe Gu, Qipeng Guo, Junjun He, Xin Hong, Ming Hu, Zhouqi Hua, Haian Huang, Junhao Huang, Zixian Huang, Minxi Jin, Lingkai Kong, Alexander Lam, Zehao Li, Zonglin Li, Tianhao Liang, Dahua Lin, Junyao Lin, Tianyang Lin, Zhouhan Lin, Jiangning Liu, Jin Liu, Kuikun Liu, Wenran Liu, Yifei Liu, Yuhong Liu, Yuhong Liu, Zhoumianze Liu, Ziyan Liu, Zi...

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