Rephonic
Artwork for Daily Paper Cast
Large Language Models
Reinforcement Learning
Artificial Intelligence
Huggingface
Multimodal Large Language Models
Vision Language Models
Diffusion Models
Openclaw
Diffusion Transformer
Transformers
Autonomous Driving
Video Generation
Robotics
Self-Distillation
NVIDIA
Real-Time Interactive Video Generation
Vision-Language Models
Multimodal Memory
Video Diffusion Models
Multimodal AI

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

PublishesDailyEpisodes2000Founded2 years ago
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Latest Episodes

🤗 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: 49 | cs.AI, cs.IR

Authors:

Yuyao Zhang, Junjie Gao, Zhengxian Wu, Jiaming Fan, Jin Zhang, Shihan Ma, Yao Yao, Weiran Qi, Chuyan Jin, Guiyu Ma, Xingzhong Xu, Kai Yang, Ji-Rong Wen, Zhicheng Dou

Title:... 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: 29 | cs.CV, cs.SD

Authors:

Xiaohan Zhang, Yuqing Wen, Junlin Chen, Yuqi Tang, Yiting He, Lizhuo Shao, Weiming Zhu, Tengfei Liu, Yang Shi, Jialu Chen, Yuanxing Zhang, Huaxiong Li

Title:

M... 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

Key Facts

Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Recent Guests

John Doe
Author from Tsinghua University
Tsinghua University
Episode: PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Jane Smith
Author from MIT
MIT
Episode: PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Alan Turing
Author from Stepfun
Stepfun
Episode: PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Shaobo Wang
Co-author on the discussed paper, researcher at Epic Lab
Epic Lab, Shanghai Jiao Tong University
Episode: Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
Jiaming Wang
Co-author on the discussed paper, researcher at Epic Lab
Epic Lab, Shanghai Jiao Tong University
Episode: Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
Linfeng Zhang
Co-author on the discussed paper, researcher at Epic Lab
Epic Lab, Shanghai Jiao Tong University
Episode: Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
Yuying Ge
Researcher and team member from ARC Lab
Tencent PCG
Episode: ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts
Zhenyang Cai
One of the authors of the research paper discussed
Chinese University of Hong Kong, Shenzhen
Episode: On the Compositional Generalization of Multimodal LLMs for Medical Imaging
Junying Chen
One of the authors of the research paper discussed
Chinese University of Hong Kong, Shenzhen
Episode: On the Compositional Generalization of Multimodal LLMs for Medical Imaging

Hosts

Echo
Host of Daily Paper Cast; co-host who introduces sections and guides discussions
Nova
Co-host of Daily Paper Cast; prompts and summarizes sections

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#210
Israel/Science
Apple Podcasts
#236
Taiwan/Science

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Talking Points

Recent interactions between the hosts and their guests.

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
Q: What does QeRL aim to solve?
QeRL aims to solve the efficiency and exploration issues in reinforcement learning for large language models.
BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments
Q: How does BitStack tackle memory availability?
BitStack breaks down the weight matrices of large language models iteratively using singular value decomposition, which allows for dynamic adjustments based on available memory.
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Q: How does the IXC-2.5-Reward work?
The IXC-2.5-Reward model aims to enhance multimodal conversations using reinforcement learning by constructing a comprehensive multimodal preference dataset across diverse domains and using this data to train more robust AI models.
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
Q: What data sets or benchmarks did they use to validate all of this?
They validated AHGT on IEEE benchmarks, particularly scenarios involving renewable energy sources and perturbed grid networks.
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
Q: What exactly does EENH pool bring to the table?
EENH pool integrates both global and local features, maintaining critical structural information while simplifying the graph.

Audience Metrics

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Frequently Asked Questions About Daily Paper Cast

What is Daily Paper Cast about and what kind of topics does it cover?

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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Daily Paper Cast launched 2 years ago and published 2000 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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Recent guests on Daily Paper Cast include:

1. John Doe
2. Jane Smith
3. Alan Turing
4. Shaobo Wang
5. Jiaming Wang
6. Linfeng Zhang
7. Yuying Ge
8. Zhenyang Cai

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