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Large Language Models
Learning Video Representations Without Natural Videos
Synthetic Data
Artificial Intelligence
Action Classification
Research Methodology
UCF101
Videomae
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

PublishesDailyEpisodes1184Foundeda year ago
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Latest Episodes

🤗 Upvotes: 95 | cs.LG, cs.CL

Authors:

Guochao Jiang, Wenfeng Feng, Guofeng Quan, Chuzhan Hao, Yuewei Zhang, Guohua Liu, Hao Wang

Title:

VCRL: Variance-based Curriculum Reinforcement Learning for La... more

🤗 Upvotes: 76 | cs.CL

Authors:

Yizhou Wang, Chen Tang, Han Deng, Jiabei Xiao, Jiaqi Liu, Jianyu Wu, Jun Yao, Pengze Li, Encheng Su, Lintao Wang, Guohang Zhuang, Yuchen Ren, Ben Fei, Ming Hu, Xin Chen, Dongzhan Zhou, Junjun ... more

🤗 Upvotes: 67 | cs.CV

Authors:

Sicong Leng, Jing Wang, Jiaxi Li, Hao Zhang, Zhiqiang Hu, Boqiang Zhang, Yuming Jiang, Hang Zhang, Xin Li, Lidong Bing, Deli Zhao, Wei Lu, Yu Rong, Aixin Sun, Shijian Lu

Title:

... more

🤗 Upvotes: 58 | cs.LG, cs.AI

Authors:

Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu

Title:

Tree Search for LLM Agent Reinforcement Learning

Arxiv:

... more

🤗 Upvotes: 46 | cs.CV

Authors:

Team Seedream, Yunpeng Chen, Yu Gao, Lixue Gong, Meng Guo, Qiushan Guo, Zhiyao Guo, Xiaoxia Hou, Weilin Huang, Yixuan Huang, Xiaowen Jian, Huafeng Kuang, Zhichao Lai, Fanshi Li, Liang Li, Xiao... more

🤗 Upvotes: 28 | cs.CV, cs.AI

Authors:

Team Hunyuan3D, :, Bowen Zhang, Chunchao Guo, Haolin Liu, Hongyu Yan, Huiwen Shi, Jingwei Huang, Junlin Yu, Kunhong Li, Linus, Penghao Wang, Qingxiang Lin, Sicong Liu, Xianghui Yang, Yi... more

🤗 Upvotes: 22 | cs.CL

Authors:

Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov

Title:

AutoIntent: AutoML for Text Classification

Arxiv:

arxiv.org/... more

🤗 Upvotes: 49 | cs.LG, cs.AI, cs.CV, cs.RO

Authors:

Thaddäus Wiedemer, Yuxuan Li, Paul Vicol, Shixiang Shane Gu, Nick Matarese, Kevin Swersky, Been Kim, Priyank Jaini, Robert Geirhos

Title:

Video m... more

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Recent Guests

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
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

Hosts

Echo
Host, focusing on current AI research and methodologies.
Nova
Co-host with a focus on applications of AI in technology.
Jingwen Liang
Creator with expertise in 3D ML.
Gengyu Wang
Creator with a focus on NLP.

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Talking Points

Recent interactions between the hosts and their guests.

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.
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
Q: Can you walk us through these challenges in more detail?
Generating proposals that are both creative and scientifically valid is tricky, as AI relies on existing data and patterns.

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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?

This series features daily discussions on ten AI research papers, drawing from those rated highest on a popular academic platform. Each episode is generated using advanced AI technologies that create both the audio and script content. The hosts analyze various topics within artificial intelligence, including natural language processing, machine learning, and the implications of recent breakthroughs in AI technology. Listeners can expect a rapid-fire format that keeps pace with the fast-evolving landscape of AI research, making complex topics accessible and engaging. Noteworthy is the focus on the community aspect, encouraging feedback and collaboration with listeners.

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2. Y Combinator Startup Podcast
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Daily Paper Cast launched a year ago and published 1184 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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2. Zhenyang Cai
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4. Benyou Wang

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