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PODCAST

Daily Paper Cast

Jingwen Liang, Gengyu Wang

We update every weekday to discuss highest-voted papers from Huggingface Daily Paper (https://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, https://www.linkedin.com/in/jingwen-liang/ Gengyu Wang, LLM ML, http://wanggengyu.com Listen on: Spotify: https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXL Apple Podcast:

science

All Episodes

20:46

Hunyuan3D 2.0: Scaling Diffusion Models for High...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 16 | cs.CV Authors: Zibo Zhao, Zeqiang Lai, Qingxiang Lin, Yunfei Zhao, Haolin Liu, Shuhui Yang, Yifei Feng, Mingxin Yang, Sheng Zhang, Xianghui Yang, Huiwen Shi, Sicong Liu, Junta Wu, Yihang Lian, Fan Yang, Ruining Tang, Zebin He, Xinzhou Wang, Jian Liu, Xuhui Zuo, Zhuo Chen, Biwen Lei, Haohan Weng, Jing Xu, Yiling Zhu, Xinhai Liu, Lixin Xu, Changrong Hu, Tianyu Huang, Lifu Wang, Jihong Zhang, Meng Chen, Liang Dong, Yiwen Jia, Yulin Cai,

en

19:28

Learn-by-interact: A Data-Centric Framework for...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 15 | cs.LG, cs.AI Authors: Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan Ö. Arık Title: Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments Arxiv: http://arxiv.org/abs/2501.10893v1 Abstract: Autonomous agents powered by large language models (LLMs) have the potential to enhance human capabilities,

en

22:49

GameFactory: Creating New Games with Generative...

Daily Paper Cast ·

2025/01/22

🤗 Upvotes: 48 | cs.CV Authors: Jiwen Yu, Yiran Qin, Xintao Wang, Pengfei Wan, Di Zhang, Xihui Liu Title: GameFactory: Creating New Games with Generative Interactive Videos Arxiv: http://arxiv.org/abs/2501.08325v1 Abstract: Generative game engines have the potential to revolutionize game development by autonomously creating new content and reducing manual workload. However,

en

19:25

VideoWorld: Exploring Knowledge Learning from...

Daily Paper Cast ·

2025/01/22

🤗 Upvotes: 8 | cs.CV Authors: Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin Title: VideoWorld: Exploring Knowledge Learning from Unlabeled Videos Arxiv: http://arxiv.org/abs/2501.09781v1 Abstract: This work explores whether a deep generative model can learn complex knowledge solely from visual input, in contrast to the prevalent focus on

en

22:16

SEAL: Entangled White-box Watermarks on Low-Rank...

Daily Paper Cast ·

2025/01/22

🤗 Upvotes: 2 | cs.AI, cs.CR Authors: Giyeong Oh, Saejin Kim, Woohyun Cho, Sangkyu Lee, Jiwan Chung, Dokyung Song, Youngjae Yu Title: SEAL: Entangled White-box Watermarks on Low-Rank Adaptation Arxiv: http://arxiv.org/abs/2501.09284v2 Abstract: Recently, LoRA and its variants have become the de facto strategy for training and sharing task-specific versions of large pretrained

en

18:53

The Lessons of Developing Process Reward Models in...

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 53 | cs.CL, cs.AI, cs.LGAuthors: Zhenru Zhang, Chujie Zheng, Yangzhen Wu, Beichen Zhang, Runji Lin, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin Title: The Lessons of Developing Process Reward Models in Mathematical Reasoning Arxiv: http://arxiv.org/abs/2501.07301v1 Abstract: Process Reward Models (PRMs) emerge as a promising approach for process supervision in

en

20:57

Tensor Product Attention Is All You Need

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 38 | cs.CL, cs.AI, cs.LG Authors: Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao Title: Tensor Product Attention Is All You Need Arxiv: http://arxiv.org/abs/2501.06425v1 Abstract: Scaling language models to handle longer input sequences typically necessitates large key-value (KV) caches, resulting in substantial memory

en

26:40

$\text{Transformer}^2$: Self-adaptive LLMs

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 25 | cs.LG, cs.AI, cs.CL Authors: Qi Sun, Edoardo Cetin, Yujin Tang Title: $\text{Transformer}^2$: Self-adaptive LLMs Arxiv: http://arxiv.org/abs/2501.06252v2 Abstract: Self-adaptive large language models (LLMs) aim to solve the challenges posed by traditional fine-tuning methods, which are often computationally intensive and static in their ability to handle diverse

en

23:32

MinMo: A Multimodal Large Language Model for Seamless...

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 21 | cs.CL, cs.AI, cs.HC, cs.SD, eess.AS Authors: Qian Chen, Yafeng Chen, Yanni Chen, Mengzhe Chen, Yingda Chen, Chong Deng, Zhihao Du, Ruize Gao, Changfeng Gao, Zhifu Gao, Yabin Li, Xiang Lv, Jiaqing Liu, Haoneng Luo, Bin Ma, Chongjia Ni, Xian Shi, Jialong Tang, Hui Wang, Hao Wang, Wen Wang, Yuxuan Wang, Yunlan Xu, Fan Yu, Zhijie Yan, Yexin Yang, Baosong Yang, Xian Yang, Guanrou Yang, Tianyu Zhao, Qinglin Zhang, Shiliang Zhang, Nan Zhao,

en

21:43

VideoAuteur: Towards Long Narrative Video Generation

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 21 | cs.CV Authors: Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Jiepeng Cen, Zhibei Ma, Alan Yuille, Lu Jiang Title: VideoAuteur: Towards Long Narrative Video Generation Arxiv: http://arxiv.org/abs/2501.06173v1 Abstract: Recent video generation models have shown promising results in producing high-quality video clips lasting several seconds. However, these models

en

24:56

O1 Replication Journey -- Part 3: Inference-time...

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 18 | cs.CL Authors: Zhongzhen Huang, Gui Geng, Shengyi Hua, Zhen Huang, Haoyang Zou, Shaoting Zhang, Pengfei Liu, Xiaofan Zhang Title: O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning Arxiv: http://arxiv.org/abs/2501.06458v1 Abstract: Building upon our previous investigations of O1 replication (Part 1: Journey Learning [Qin et al., 2024]

en

24:03

WebWalker: Benchmarking LLMs in Web Traversal

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 16 | cs.CL, cs.AI Authors: Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang Title: WebWalker: Benchmarking LLMs in Web Traversal Arxiv: http://arxiv.org/abs/2501.07572v2 Abstract: Retrieval-augmented generation (RAG) demonstrates remarkable performance across tasks in open-domain

en

20:43

SPAM: Spike-Aware Adam with Momentum Reset for Stable...

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 12 | cs.LG, cs.AI, cs.CL Authors: Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu Title: SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training Arxiv: http://arxiv.org/abs/2501.06842v1 Abstract: Large Language Models (LLMs) have demonstrated exceptional performance across diverse tasks, yet their training remains highly

en

21:50

UnCommon Objects in 3D

Daily Paper Cast ·

2025/01/15

🤗 Upvotes: 8 | cs.CV, cs.AI, cs.GR Authors: Xingchen Liu, Piyush Tayal, Jianyuan Wang, Jesus Zarzar, Tom Monnier, Konstantinos Tertikas, Jiali Duan, Antoine Toisoul, Jason Y. Zhang, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny Title: UnCommon Objects in 3D Arxiv: http://arxiv.org/abs/2501.07574v1 Abstract: We introduce Uncommon Objects in 3D (uCO3D), a new

en

22:20

VideoRAG: Retrieval-Augmented Generation over Video...

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 43 | cs.CV, cs.AI, cs.CL, cs.IR, cs.LG Authors: Soyeong Jeong, Kangsan Kim, Jinheon Baek, Sung Ju Hwang Title: VideoRAG: Retrieval-Augmented Generation over Video Corpus Arxiv: http://arxiv.org/abs/2501.05874v1 Abstract: Retrieval-Augmented Generation (RAG) is a powerful strategy to address the issue of generating factually incorrect outputs in foundation models by

en

22:27

OVO-Bench: How Far is Your Video-LLMs from Real-World...

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 29 | cs.CV, cs.AI Authors: Yifei Li, Junbo Niu, Ziyang Miao, Chunjiang Ge, Yuanhang Zhou, Qihao He, Xiaoyi Dong, Haodong Duan, Shuangrui Ding, Rui Qian, Pan Zhang, Yuhang Zang, Yuhang Cao, Conghui He, Jiaqi Wang Title: OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Arxiv: http://arxiv.org/abs/2501.05510v1 Abstract: Temporal

en

27:51

Enabling Scalable Oversight via Self-Evolving Critic

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 22 | cs.CL, cs.AI, cs.LG Authors: Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin Title: Enabling Scalable Oversight via Self-Evolving Critic Arxiv: http://arxiv.org/abs/2501.05727v1 Abstract: Despite their remarkable performance, the development of Large Language Models (LLMs)

en

21:58

Migician: Revealing the Magic of Free-Form...

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 14 | cs.CL, cs.AI, cs.CV Authors: You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun Title: Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models Arxiv: http://arxiv.org/abs/2501.05767v2 Abstract: The recent advancement of Multimodal Large Language

en

22:48

ReFocus: Visual Editing as a Chain of Thought for...

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 10 | cs.CV, cs.CL Authors: Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang Title: ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding Arxiv: http://arxiv.org/abs/2501.05452v1 Abstract: Structured image understanding, such as interpreting tables and charts, requires

en

23:39

ConceptMaster: Multi-Concept Video Customization on...

Daily Paper Cast ·

2025/01/14

🤗 Upvotes: 10 | cs.CV Authors: Yuzhou Huang, Ziyang Yuan, Quande Liu, Qiulin Wang, Xintao Wang, Ruimao Zhang, Pengfei Wan, Di Zhang, Kun Gai Title: ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning Arxiv: http://arxiv.org/abs/2501.04698v1 Abstract: Text-to-video generation has made remarkable advancements through diffusion

en

2,195 results

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