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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

25:15

LLaDA2.0-Uni: Unifying Multimodal Understanding and...

Daily Paper Cast ·

2026/04/24

🤗 Upvotes: 213 | cs.CVAuthors: Inclusion AI, Tiwei Bie, Haoxing Chen, Tieyuan Chen, Zhenglin Cheng, Long Cui, Kai Gan, Zhicheng Huang, Zhenzhong Lan, Haoquan Li, Jianguo Li, Tao Lin, Qi Qin, Hongjun Wang, Xiaomei Wang, Haoyuan Wu, Yi Xin, Junbo Zhao Title: LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Arxiv: http://arxiv.org/abs/2604.20796v1

en

22:20

Near-Future Policy Optimization

Daily Paper Cast ·

2026/04/24

🤗 Upvotes: 45 | cs.LG Authors: Chuanyu Qin, Chenxu Yang, Qingyi Si, Naibin Gu, Dingyu Yao, Zheng Lin, Peng Fu, Nan Duan, Jiaqi Wang Title: Near-Future Policy Optimization Arxiv: http://arxiv.org/abs/2604.20733v1 Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a core post-training recipe. Introducing suitable off-policy trajectories into on-policy

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24:27

DR-Venus: Towards Frontier Edge-Scale Deep Research...

Daily Paper Cast ·

2026/04/24

🤗 Upvotes: 38 | cs.LG, cs.AI, cs.CL, cs.IR Authors: Venus Team, Sunhao Dai, Yong Deng, Jinzhen Lin, Yusheng Song, Guoqing Wang, Xiaofeng Wu, Yuqi Zhou, Shuo Yang, Zhenzhe Ying, Zhanwei Zhang, Changhua Meng, Weiqiang Wang Title: DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data Arxiv: http://arxiv.org/abs/2604.19859v1 Abstract: Edge-scale deep

en

26:56

OpenMobile: Building Open Mobile Agents with Task and...

Daily Paper Cast ·

2026/04/24

🤗 Upvotes: 26 | cs.AI, cs.CL, cs.CV, cs.HC Authors: Kanzhi Cheng, Zehao Li, Zheng Ma, Nuo Chen, Jialin Cao, Qiushi Sun, Zichen Ding, Fangzhi Xu, Hang Yan, Jiajun Chen, Anh Tuan Luu, Jianbing Zhang, Lewei Lu, Dahua Lin Title: OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis Arxiv: http://arxiv.org/abs/2604.15093v1 Abstract: Mobile agents powered by

en

23:40

DeVI: Physics-based Dexterous Human-Object...

Daily Paper Cast ·

2026/04/24

🤗 Upvotes: 21 | cs.CV Authors: Hyeonwoo Kim, Jeonghwan Kim, Kyungwon Cho, Hanbyul Joo Title: DeVI: Physics-based Dexterous Human-Object Interaction via Synthetic Video Imitation Arxiv: http://arxiv.org/abs/2604.20841v1 Abstract: Recent advances in video generative models enable the synthesis of realistic human-object interaction videos across a wide range of scenarios and object

en

23:57

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On...

Daily Paper Cast ·

2026/04/23

🤗 Upvotes: 82 | cs.CVAuthors: Mengting Chen, Zhengrui Chen, Yongchao Du, Zuan Gao, Taihang Hu, Jinsong Lan, Chao Lin, Yefeng Shen, Xingjian Wang, Zhao Wang, Zhengtao Wu, Xiaoli Xu, Zhengze Xu, Hao Yan, Mingzhou Zhang, Jun Zheng, Qinye Zhou, Xiaoyong Zhu, Bo Zheng Title: Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items Arxiv: http://arxiv.org/abs/2604.19748v2

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21:16

CoInteract: Physically-Consistent Human-Object...

Daily Paper Cast ·

2026/04/23

🤗 Upvotes: 69 | cs.CV Authors: Xiangyang Luo, Xiaozhe Xin, Tao Feng, Xu Guo, Meiguang Jin, Junfeng Ma Title: CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation Arxiv: http://arxiv.org/abs/2604.19636v1 Abstract: Synthesizing human--object interaction (HOI) videos has broad practical value in e-commerce, digital

en

22:39

AgentSPEX: An Agent SPecification and EXecution Language

Daily Paper Cast ·

2026/04/23

🤗 Upvotes: 52 | cs.CL Authors: Pengcheng Wang, Jerry Huang, Jiarui Yao, Rui Pan, Peizhi Niu, Yaowenqi Liu, Ruida Wang, Renhao Lu, Yuwei Guo, Tong Zhang Title: AgentSPEX: An Agent SPecification and EXecution Language Arxiv: http://arxiv.org/abs/2604.13346v1 Abstract: Language-model agent systems commonly rely on reactive prompting, in which a single instruction guides the model

en

24:31

AnyRecon: Arbitrary-View 3D Reconstruction with Video...

Daily Paper Cast ·

2026/04/23

🤗 Upvotes: 35 | cs.CV Authors: Yutian Chen, Shi Guo, Renbiao Jin, Tianshuo Yang, Xin Cai, Yawen Luo, Mingxin Yang, Mulin Yu, Linning Xu, Tianfan Xue Title: AnyRecon: Arbitrary-View 3D Reconstruction with Video Diffusion Model Arxiv: http://arxiv.org/abs/2604.19747v1 Abstract: Sparse-view 3D reconstruction is essential for modeling scenes from casual captures, but remain

en

23:30

TEMPO: Scaling Test-time Training for Large Reasoning...

Daily Paper Cast ·

2026/04/23

🤗 Upvotes: 26 | cs.LG Authors: Qingyang Zhang, Xinke Kong, Haitao Wu, Qinghua Hu, Minghao Wu, Baosong Yang, Yu Cheng, Yun Luo, Ganqu Cui, Changqing Zhang Title: TEMPO: Scaling Test-time Training for Large Reasoning Models Arxiv: http://arxiv.org/abs/2604.19295v1 Abstract: Test-time training (TTT) adapts model parameters on unlabeled test instances during inference time, which

en

20:55

Extending One-Step Image Generation from Class Labels...

Daily Paper Cast ·

2026/04/22

🤗 Upvotes: 87 | cs.CVAuthors: Chenxi Zhao, Chen Zhu, Xiaokun Feng, Aiming Hao, Jiashu Zhu, Jiachen Lei, Jiahong Wu, Xiangxiang Chu, Jufeng Yang Title: Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation Arxiv: http://arxiv.org/abs/2604.18168v1 Abstract: Few-step generation has been a long-standing goal, with recent one-step

en

26:31

OneVL: One-Step Latent Reasoning and Planning with...

Daily Paper Cast ·

2026/04/22

🤗 Upvotes: 67 | cs.CV, cs.CL, cs.RO Authors: Jinghui Lu, Jiayi Guan, Zhijian Huang, Jinlong Li, Guang Li, Lingdong Kong, Yingyan Li, Han Wang, Shaoqing Xu, Yuechen Luo, Fang Li, Chenxu Dang, Junli Wang, Tao Xu, Jing Wu, Jianhua Wu, Xiaoshuai Hao, Wen Zhang, Tianyi Jiang, Lingfeng Zhang, Lei Zhou, Yingbo Tang, Jie Wang, Yinfeng Gao, Xizhou Bu, Haochen Tian, Yihang Qiu, Feiyang Jia, Lin Liu, Yigu Ge, Hanbing Li, Yuannan Shen, Jianwei Cui, Hongwei Xie,

en

24:00

Agent-World: Scaling Real-World Environment Synthesis...

Daily Paper Cast ·

2026/04/22

🤗 Upvotes: 66 | cs.AI, cs.CL Authors: Guanting Dong, Junting Lu, Junjie Huang, Wanjun Zhong, Longxiang Liu, Shijue Huang, Zhenyu Li, Yang Zhao, Xiaoshuai Song, Xiaoxi Li, Jiajie Jin, Yutao Zhu, Hanbin Wang, Fangyu Lei, Qinyu Luo, Mingyang Chen, Zehui Chen, Jiazhan Feng, Ji-Rong Wen, Zhicheng Dou Title: Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Arxiv:

en

25:31

OpenGame: Open Agentic Coding for Games

Daily Paper Cast ·

2026/04/22

🤗 Upvotes: 51 | cs.SE Authors: Yilei Jiang, Jinyuan Hu, Qianyin Xiao, Yaozhi Zheng, Ruize Ma, Kaituo Feng, Jiaming Han, Tianshuo Peng, Kaixuan Fan, Manyuan Zhang, Xiangyu Yue Title: OpenGame: Open Agentic Coding for Games Arxiv: http://arxiv.org/abs/2604.18394v1 Abstract: Game development sits at the intersection of creative design and intricate software engineering, demanding

en

21:41

MultiWorld: Scalable Multi-Agent Multi-View Video...

Daily Paper Cast ·

2026/04/22

🤗 Upvotes: 36 | cs.CV Authors: Haoyu Wu, Jiwen Yu, Yingtian Zou, Xihui Liu Title: MultiWorld: Scalable Multi-Agent Multi-View Video World Models Arxiv: http://arxiv.org/abs/2604.18564v2 Abstract: Video world models have achieved remarkable success in simulating environmental dynamics in response to actions by users or agents. They are modeled as action-conditioned video

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27:05

EasyVideoR1: Easier RL for Video Understanding

Daily Paper Cast ·

2026/04/22

🤗 Upvotes: 32 | cs.CV, cs.LG Authors: Chuanyu Qin, Chenxu Yang, Qingyi Si, Naibin Gu, Dingyu Yao, Zheng Lin, Peng Fu, Nan Duan, Jiaqi Wang Title: EasyVideoR1: Easier RL for Video Understanding Arxiv: http://arxiv.org/abs/2604.16893v1 Abstract: Reinforcement learning from verifiable rewards (RLVR) has demonstrated remarkable effectiveness in improving the reasoning capabilities

en

22:07

Elucidating the SNR-t Bias of Diffusion Probabilistic...

Daily Paper Cast ·

2026/04/21

🤗 Upvotes: 69 | cs.CV Authors: Meng Yu, Lei Sun, Jianhao Zeng, Xiangxiang Chu, Kun Zhan Title: Elucidating the SNR-t Bias of Diffusion Probabilistic Models Arxiv: http://arxiv.org/abs/2604.16044v1 Abstract: Diffusion Probabilistic Models have demonstrated remarkable performance across a wide range of generative tasks. However, we have observed that these models often suffer from

en

22:28

Maximal Brain Damage Without Data or Optimization:...

Daily Paper Cast ·

2026/04/21

🤗 Upvotes: 42 | cs.LG, cs.AI, cs.CV Authors: Ido Galil, Moshe Kimhi, Ran El-Yaniv Title: Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips Arxiv: http://arxiv.org/abs/2502.07408v2 Abstract: Deep Neural Networks (DNNs) can be catastrophically disrupted by flipping only a handful of parameter bits. We introduce Deep Neural Lesion

en

24:57

PersonaVLM: Long-Term Personalized Multimodal LLMs

Daily Paper Cast ·

2026/04/21

🤗 Upvotes: 39 | cs.CL, cs.CV Authors: Chang Nie, Chaoyou Fu, Yifan Zhang, Haihua Yang, Caifeng Shan Title: PersonaVLM: Long-Term Personalized Multimodal LLMs Arxiv: http://arxiv.org/abs/2604.13074v1 Abstract: Multimodal Large Language Models (MLLMs) serve as daily assistants for millions. However, their ability to generate responses aligned with individual preferences remains

en

24:57

Qwen3.5-Omni Technical Report

Daily Paper Cast ·

2026/04/21

🤗 Upvotes: 28 | cs.CL, eess.AS Authors: Qwen Team Title: Qwen3.5-Omni Technical Report Arxiv: http://arxiv.org/abs/2604.15804v1 Abstract: In this work, we present Qwen3.5-Omni, the latest advancement in the Qwen-Omni model family. Representing a significant evolution over its predecessor, Qwen3.5-Omni scales to hundreds of billions of parameters and supports a 256k context

en

1,800 results

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