
We update every weekday to discuss highest-voted papers from Huggingface Daily Paper (huggingface.co/papers). Both the podcast scripts and audio are generated by AI. Feedback and suggestions are welcome! Email us: dailypapercast.ai@gmail.com Creator: Jingwen Liang, 3D ML, www.linkedin.com/in/jingwen-liang/ Gengyu Wang, LLM ML, wanggengyu.com Listen on: Spotify: open.... more
| Publishes | Daily | Episodes | 2000 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

🤗 Upvotes: 109 | cs.CV
Authors:
Xinhao Li, Yuhan Zhu, Xiangyu Zeng, Yuhao Dong, Haoning Wu, Zhiqiu Zhang, Yuandong Yang, Changlian Ma, Qingyu Zhang, Yansong Shi, Xinyu Chen, Haoran Chen, Zizheng Huang, Jun Zhang, Kun Ouyang... more
🤗 Upvotes: 71 | cs.CL
Authors:
Jinyang Wu, Shuo Yang, Zhengxi Lu, Fan Zhang, Yuhao Shen, Lang Feng, Haoran Luo, Zheng Lian, Shuai Zhang, Zhengqi Wen, Jianhua Tao
Title:
SEED: Self-Evolving On-Polic... more
🤗 Upvotes: 83 | cs.LG, cs.DC
Authors:
Changhai Zhou, Kieran Liu, Yuhua Zhou, Qian Qiao, Jun Gao, Harry Zhang, Irvine Lu, Nolan Ho, Lucian Li, Andrew Lei, Cleon Cheng, Steven Chiang, Yihang Zeng, Di Zhang, Rio Yang, Kaijie C... more
🤗 Upvotes: 36 | cs.LG, cs.RO
Authors:
Qi Li, Xingyi Yang, Xinchao Wang
Title:
BadWAM: When World-Action Models Dream Right but Act Wrong
Arxiv:
arxiv.org/abs/2607.1... more
🤗 Upvotes: 30 | cs.CV
Authors:
Yuqi Tang, Tengfei Liu, Yizheng Lai, Yuran Wang, Yang Shi, Wanshun Su, Zhuoran Zhang, Qixun Wang, Xiaohan Zhang, Xinlei Yu, Xuehai Bai, Xuanyu Zhu, Bohan Zeng, Bozhou Li, Shujie Li, Yifan Dai,... more
🤗 Upvotes: 23 | cs.LG
Authors:
Minh-Quan Le, Armand Comas, Alexandros Lattas, Stylianos Moschoglou, Pedro Vélez, Amit Raj, Aaron Germuth, Thabo Beeler, Dimitris Samaras, Di Qiu
Title:
Concurrent Im... more
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Apple Podcasts | #210 | |
Apple Podcasts | #236 |









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A weekday show that analyzes high-impact AI and machine-learning papers, focusing on practical implications, methodology, and experimental results. Across recent episodes, the hosts unpack topics like general world models, environment-free verification for coding agents, distillation techniques, 3D scene representations, autoregressive image synthesis, diffusion-based video editing, and long-horizon agents. The conversations tend to balance technical depth with accessible explanations, often comparing approaches, highlighting notable performance gains, and outlining potential real-world applications in robotics, vision, and AI tooling. A standout pattern is a strong emphasis on architectural innovations, training strategies, and scalability... more
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