Rephonic
Artwork for Daily Paper Cast
Large Language Models
Learning Video Representations Without Natural Videos
Synthetic Data
Artificial Intelligence
Action Classification
Research Methodology
Videomae
UCF101
Machine Learning
HMDB51
Natural Images
Llamo
Imagenet
Code Generation
Natural Language Processing
Gpt-4
Kinetics 400
Constraint Back Translation
Instruction Tuning
Bitstack

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

PublishesDailyEpisodes1380Foundeda year ago
Number of ListenersCategories
ScienceTechnology

Listen to this Podcast

Artwork for Daily Paper Cast

Latest Episodes

🤗 Upvotes: 87 | cs.CL, cs.AI, cs.CV

Authors:

Yunxin Li, Xinyu Chen, Shenyuan Jiang, Haoyuan Shi, Zhenyu Liu, Xuanyu Zhang, Nanhao Deng, Zhenran Xu, Yicheng Ma, Meishan Zhang, Baotian Hu, Min Zhang

Title:

... more

🤗 Upvotes: 107 | cs.LG, cs.AI, cs.CL

Authors:

Jiacheng Chen, Qianjia Cheng, Fangchen Yu, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Yun Luo, Yufeng Zhao, Futing Wang, Li Sheng, Chengxin... more

🤗 Upvotes: 104 | cs.CL

Authors:

MiroMind Team, Song Bai, Lidong Bing, Carson Chen, Guanzheng Chen, Yuntao Chen, Zhe Chen, Ziyi Chen, Jifeng Dai, Xuan Dong, Wenhan Dou, Yue Deng, Yunjie Fu, Junqi Ge, Chenxia Han, Tammy Huang... more

🤗 Upvotes: 75 | cs.CL

Authors:

Shalini Maiti, Amar Budhiraja, Bhavul Gauri, Gaurav Chaurasia, Anton Protopopov, Alexis Audran-Reiss, Michael Slater, Despoina Magka, Tatiana Shavrina, Roberta Raileanu, Yoram Bachrach

... more

Key Facts

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

Similar Podcasts

People also subscribe to these shows.

Recent Guests

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
Benyou Wang
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
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
Nova
Co-host of Daily Paper Cast

Chart Rankings

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

Apple Podcasts
#232
South Korea/Science

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

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Daily Paper Cast

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

Focused on the latest advancements in artificial intelligence and machine learning, notable discussions cover cutting-edge academic research papers voted on by the Hugging Face community. Topics range from natural language processing innovations to efficient training techniques for large language models. The format combines insightful analysis of each paper's key findings with robust technical explanations, making complex subjects accessible to a broader audience. The unique selling point is the deployment of AI-generated scripts and audio for every episode, attributing an innovative, modern twist to information dissemination in the tech space.

Where can I find podcast stats for Daily Paper Cast?

Rephonic provides a wide range of podcast stats for Daily Paper Cast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Daily Paper Cast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Daily Paper Cast get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Daily Paper Cast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Daily Paper Cast?

Rephonic provides comprehensive predictive audience data for Daily Paper Cast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Daily Paper Cast have?

To see how many followers or subscribers Daily Paper Cast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Daily Paper Cast?

These podcasts share a similar audience with Daily Paper Cast:

1. Into the Impossible With Brian Keating

How many episodes of Daily Paper Cast are there?

Daily Paper Cast launched a year ago and published 1380 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Daily Paper Cast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Daily Paper Cast?

Rephonic pulls ratings and reviews for Daily Paper Cast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Daily Paper Cast?

Rephonic provides full transcripts for episodes of Daily Paper Cast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Daily Paper Cast?

Recent guests on Daily Paper Cast include:

1. Shaobo Wang
2. Jiaming Wang
3. Linfeng Zhang
4. Yuying Ge
5. Benyou Wang
6. Zhenyang Cai
7. Junying Chen

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days