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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

22:31

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like...

Daily Paper Cast ·

2025/01/24

🤗 Upvotes: 13 | cs.CL Authors: Haotian Luo, Li Shen, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Naiqiang Tan, Xiaochun Cao, Dacheng Tao Title: O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning Arxiv: http://arxiv.org/abs/2501.12570v1 Abstract: Recently, long-thought reasoning LLMs, such as OpenAI's O1, adopt extended reasoning processes similar to how

en

22:07

Pairwise RM: Perform Best-of-N Sampling with Knockout...

Daily Paper Cast ·

2025/01/24

🤗 Upvotes: 13 | cs.CL Authors: Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li Title: Pairwise RM: Perform Best-of-N Sampling with Knockout Tournament Arxiv: http://arxiv.org/abs/2501.13007v1 Abstract: Best-of-N (BoN) sampling, a common strategy for test-time scaling of Large Language Models (LLMs), relies on reward models to select the best candidate solution from

en

24:44

IntellAgent: A Multi-Agent Framework for Evaluating...

Daily Paper Cast ·

2025/01/24

🤗 Upvotes: 7 | cs.CL, cs.AI, cs.LG Authors: Elad Levi, Ilan Kadar Title: IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems Arxiv: http://arxiv.org/abs/2501.11067v1 Abstract: Large Language Models (LLMs) are transforming artificial intelligence, evolving into task-oriented systems capable of autonomous planning and execution. One of the primary

en

21:35

Fast3R: Towards 3D Reconstruction of 1000+ Images in...

Daily Paper Cast ·

2025/01/24

🤗 Upvotes: 3 | cs.CV, cs.AI, cs.GR, cs.RO Authors: Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli Title: Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass Arxiv: http://arxiv.org/abs/2501.13928v1 Abstract: Multi-view 3D reconstruction remains a core challenge in computer vision,

en

20:45

Agent-R: Training Language Model Agents to Reflect...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 61 | cs.AI Authors: Siyu Yuan, Zehui Chen, Zhiheng Xi, Junjie Ye, Zhengyin Du, Jiecao Chen Title: Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Arxiv: http://arxiv.org/abs/2501.11425v1 Abstract: Large Language Models (LLMs) agents are increasingly pivotal for addressing complex tasks in interactive environments. Existing work mainly

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25:15

MMVU: Measuring Expert-Level Multi-Discipline Video...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 59 | cs.CV, cs.AI, cs.CL Authors: Yilun Zhao, Lujing Xie, Haowei Zhang, Guo Gan, Yitao Long, Zhiyuan Hu, Tongyan Hu, Weiyuan Chen, Chuhan Li, Junyang Song, Zhijian Xu, Chengye Wang, Weifeng Pan, Ziyao Shangguan, Xiangru Tang, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan Title: MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Arxiv: http://arxiv.org/abs/2501.12380v1

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23:40

Demons in the Detail: On Implementing Load Balancing...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 51 | cs.LG, cs.CL Authors: Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin Title: Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Arxiv: http://arxiv.org/abs/2501.11873v1 Abstract: This paper revisits the implementation of

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26:00

TokenVerse: Versatile Multi-concept Personalization...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 32 | cs.CV Authors: Daniel Garibi, Shahar Yadin, Roni Paiss, Omer Tov, Shiran Zada, Ariel Ephrat, Tomer Michaeli, Inbar Mosseri, Tali Dekel Title: TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space Arxiv: http://arxiv.org/abs/2501.12224v1 Abstract: We present TokenVerse -- a method for multi-concept personalization, leveraging a pre-trained

en

20:57

UI-TARS: Pioneering Automated GUI Interaction with...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 31 | cs.AI, cs.CL, cs.CV, cs.HC Authors: Yujia Qin, Yining Ye, Junjie Fang, Haoming Wang, Shihao Liang, Shizuo Tian, Junda Zhang, Jiahao Li, Yunxin Li, Shijue Huang, Wanjun Zhong, Kuanye Li, Jiale Yang, Yu Miao, Woyu Lin, Longxiang Liu, Xu Jiang, Qianli Ma, Jingyu Li, Xiaojun Xiao, Kai Cai, Chuang Li, Yaowei Zheng, Chaolin Jin, Chen Li, Xiao Zhou, Minchao Wang, Haoli Chen, Zhaojian Li, Haihua Yang, Haifeng Liu, Feng Lin, Tao Peng, Xin Liu,

en

21:26

InternLM-XComposer2.5-Reward: A Simple Yet Effective...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 26 | cs.CV, cs.CL Authors: Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Ziyu Liu, Shengyuan Ding, Shenxi Wu, Yubo Ma, Haodong Duan, Wenwei Zhang, Kai Chen, Dahua Lin, Jiaqi Wang Title: InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Arxiv: http://arxiv.org/abs/2501.12368v1 Abstract: Despite the promising performance of Large Vision

en

23:22

Mobile-Agent-E: Self-Evolving Mobile Assistant for...

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 20 | cs.CL, cs.CV Authors: Zhenhailong Wang, Haiyang Xu, Junyang Wang, Xi Zhang, Ming Yan, Ji Zhang, Fei Huang, Heng Ji Title: Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks Arxiv: http://arxiv.org/abs/2501.11733v1 Abstract: Smartphones have become indispensable in modern life, yet navigating complex tasks on mobile devices often remains frustrating

en

21:43

Reasoning Language Models: A Blueprint

Daily Paper Cast ·

2025/01/23

🤗 Upvotes: 18 | cs.AI, cs.CL Authors: Maciej Besta, Julia Barth, Eric Schreiber, Ales Kubicek, Afonso Catarino, Robert Gerstenberger, Piotr Nyczyk, Patrick Iff, Yueling Li, Sam Houliston, Tomasz Sternal, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Łukasz Flis, Hannes Eberhard, Hubert Niewiadomski, Torsten Hoefler Title: Reasoning Language Models: A Blueprint Arxiv:

en

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

1,967 results

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