Jingwen Liang, Gengyu Wang
Daily Paper Cast
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.comCreator:Jingwen Liang, 3D ML, https://www.linkedin.com/in/jingwen-liang/Gengyu Wang, LLM ML, http://wanggengyu.comListen on: Spotify: https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXLApple Podcast: https://podcasts.apple.com/us/podcast/daily-paper-cast/id1777620236Cover Image by Kawen Kuang https://kawen.art
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Jingwen Liang, Gengyu Wang
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Dernier épisode
15 oct. 2026
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Épisodes
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models 02.07.2026 21:01
🤗 Upvotes: 41 | cs. LG, cs. RO Authors: Nikita Kachaev, Andrey Moskalenko, Matvey Skripkin, Nikita Kurlaev, Daria Pugacheva, Albina Burlova, Mikhail Kolosov, Denis Shepelev, Andrey Kuznetsov, Elena Tutubalina, Aleksandr I. Panov, Alexey K. Kovalev, Vlad Shakhuro Title: Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models Arxiv: http:/...
Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views 02.07.2026 23:55
🤗 Upvotes: 36 | cs. CV, cs. GR Authors: Mijin Yoo, In Cho, Subin Jeon, Jiwoo Lee, Eunbyung Park, Seon Joo Kim Title: Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Arxiv: http://arxiv.org/abs/2606.29513v1 Abstract: A 3D scene is understood through its objects, not the primitives that compose them. Yet feed-forward reconstruction methods output dense, uns...
GEAR: Guided End-to-End AutoRegression for Image Synthesis 02.07.2026 26:30
🤗 Upvotes: 28 | cs. CV Authors: Bin Lin, Zheyuan Liu, Chenguo Lin, Sixiang Chen, Yunyang Ge, Yunlong Lin, Jianwei Zhang, Miles Yang, Zhao Zhong, Liefeng Bo, Li Yuan Title: GEAR: Guided End-to-End AutoRegression for Image Synthesis Arxiv: http://arxiv.org/abs/2606.32039v1 Abstract: Visual generative models are typically trained in two stages. A tokenizer is first trained for reconstruction and the...
Multi-Block Diffusion Language Models 02.07.2026 23:52
🤗 Upvotes: 23 | cs. LG, cs. CL Authors: Yijie Jin, Jiajun Xu, Yuxuan Liu, Chenkai Xu, Yi Tu, Jiajun Li, Dandan Tu, Xiaohui Yan, Kai Yu, Pengfei Liu, Zhijie Deng Title: Multi-Block Diffusion Language Models Arxiv: http://arxiv.org/abs/2606.29215v2 Abstract: Block Diffusion Language Models (BD-LMs) improve diffusion-based text generation with KV caching and flexible-length generation. A natural nex...
Agentic Abstention: Do Agents Know When to Stop Instead of Act? 01.07.2026 24:13
🤗 Upvotes: 124 | cs. AI Authors: Han Luo, Bingbing Wen, Lucy Lu Wang Title: Agentic Abstention: Do Agents Know When to Stop Instead of Act? Arxiv: http://arxiv.org/abs/2606.28733v1 Abstract: LLM agents are expected to act over multiple turns, using search, browsing interfaces, and terminal tools to complete user goals. Yet not every goal is well specified or achievable in the available environmen...
LiveEdit: Towards Real-Time Diffusion-Based Streaming Video Editing 01.07.2026 23:18
🤗 Upvotes: 72 | cs. CV Authors: Xinyu Wang, Chongbo Zhao, Fangneng Zhan, Yue Ma Title: LiveEdit: Towards Real-Time Diffusion-Based Streaming Video Editing Arxiv: http://arxiv.org/abs/2606.26740v1 Abstract: Streaming video editing has made rapid progress, yet practical deployment is still limited by two core issues: maintaining stable backgrounds and non-edited regions over time, and achieving the...
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent 01.07.2026 26:23
🤗 Upvotes: 69 | cs. CL Authors: Lei Bai, Zongsheng Cao, Yang Chen, Zhiyao Cui, Shangheng Du, Yue Fan, Shiyang Feng, Zijie Guo, Haonan He, Liang He, Xiaohan He, Shuyue Hu, Yusong Hu, Songtao Huang, Yichen Jiang, Hao Li, Xin Li, Dahua Lin, Weihao Lin, Fenghua Ling, Dongrui Liu, Zhuo Liu, Runmin Ma, Chunjiang Mu, Haoyang Peng, Tianshuo Peng, Jinxin Shi, Luohe Shi, Boyuan Sun, Zelin Tan, Shengji Tang...
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents 01.07.2026 22:43
🤗 Upvotes: 44 | cs. SE, cs. AI Authors: Shoufa Chen, Luyuan Wang, Xuan Yang, Zhiheng Liu, Yuren Cong, Yuanfeng Ji, Feiyan Zhou, Xiaohui Zhang, Fanny Yang, Belinda Zeng Title: TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents Arxiv: http://arxiv.org/abs/2606.28480v1 Abstract: As large language models and harness frameworks continue to advance, agents operating in terminals are increas...
Beyond IID: How General Are Tabular Foundation Models, Really? 01.07.2026 22:43
🤗 Upvotes: 36 | cs. LG, cs. AI Authors: Lennart Purucker, Andrej Tschalzev, Nick Erickson, Gioia Blayer, David Holzmüller, Alan Arazi, Alexander Pfefferle, Mustafa Tajjar, Gaël Varoquaux, Frank Hutter Title: Beyond IID: How General Are Tabular Foundation Models, Really? Arxiv: http://arxiv.org/abs/2606.30410v1 Abstract: Foundation models for predictive machine learning on tabular data have recent...
Trimming the Long-Tail of Visual World Modeling Evaluation 01.07.2026 25:54
🤗 Upvotes: 35 | cs. CV Authors: Bingxuan Li, Yining Hong, Cheng Qian, Hyeonjeong Ha, Jiateng Liu, Zhenhailong Wang, Yue Guo, Yunzhu Li, Heng Ji Title: Trimming the Long-Tail of Visual World Modeling Evaluation Arxiv: http://arxiv.org/abs/2606.24256v1 Abstract: Physical interactions follow a long-tailed distribution: a set of common and regular interactions dominates human experience and visual da...
AsyncOPD: How Stale Can On-Policy Distillation Be? 01.07.2026 22:38
🤗 Upvotes: 23 | cs. LG Authors: Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjun Kang, Sanghyun Park, Donghoon Kim, Minjae Lee, Minseo Kim, Rishabh Tiwari, Yuchen Zeng, Hyung Il Koo, Kangwook Lee Title: AsyncOPD: How Stale Can On-Policy Distillation Be? Arxiv: http://arxiv.org/abs/2606.24143v1 Abstract: On-policy distillation (OPD) trains a student on its own rollouts guided by teacher feedback and...
Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning 01.07.2026 20:40
🤗 Upvotes: 23 | cs. CV Authors: Hohin Kwan, Hongyu Li, Ray Zhang, Manyuan Zhang, Xianghao Kong, Anyi Rao, Jiahao Xie, Si Liu Title: Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning Arxiv: http://arxiv.org/abs/2606.27828v1 Abstract: Recent interest in multimodal large language models (MLLMs) raises a central question: can they reason over dynamic visual evi...
Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction 01.07.2026 22:50
🤗 Upvotes: 22 | cs. CV, cs. AI Authors: Sunqi Fan, Qingle Liu, Runqi Yin, Meng-Hao Guo, Shuojin Yang Title: Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction Arxiv: http://arxiv.org/abs/2606.29445v1 Abstract: Video understanding is a fundamental capability for multimodal intelligence, and recent Multimodal Large Language Models (MLLMs) have achieved remarkable pe...
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation 30.06.2026 21:18
🤗 Upvotes: 42 | cs. CV, cs. AI, cs. RO Authors: Peiwen Zhang, Yufan Deng, Shangkun Sun, Juncheng Ma, Duomin Wang, Jonas Du, Zilin Pan, Ye Huang, Hao Liang, Songyan Huang, Ruihua Zhang, Enze Xie, Ming-Yu Liu, Daquan Zhou Title: PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation Arxiv: http://arxiv.org/abs/2606.28128v1 Abstract: Video generation models have emerged as a prom...
Translation as a Bridging Action: Transferring Manipulation Skills from Humans to Robots 30.06.2026 23:56
🤗 Upvotes: 34 | cs. RO, cs. CV Authors: Sijin Chen, Kaixuan Jiang, Haixin Shi, Yanhui Wang, Weiheng Zhong, Haosheng Li, Bo Jiang, Yuxiao Liu, Xihui Liu Title: Translation as a Bridging Action: Transferring Manipulation Skills from Humans to Robots Arxiv: http://arxiv.org/abs/2606.28133v1 Abstract: We study whether we can learn novel manipulation skills from human actions to a bi-manual robot with...
Qwen-Image-2.0-RL Technical Report 30.06.2026 27:10
🤗 Upvotes: 33 | cs. CV, cs. LG Authors: Yixian Xu, Kaiyuan Gao, Yuxiang Chen, Yilei Chen, Zecheng Tang, Zihao Liu, Zikai Zhou, Deqing Li, Hao Meng, Kuan Cao, Jiahao Li, Jie Zhang, Liang Peng, Lihan Jiang, Ningyuan Tang, Shengming Yin, Tianhe Wu, Xiaoyue Chen, Yan Shu, Yanran Zhang, Yi Wang, Yu Wu, Yujia Wu, Zekai Zhang, Zhendong Wang, Xiao Xu, Kun Yan, Chenfei Wu Title: Qwen-Image-2.0-RL Technica...
DanceOPD: On-Policy Generative Field Distillation 28.06.2026 25:46
🤗 Upvotes: 64 | cs. CV, cs. CL, cs. LG Authors: Wei Zhou, Xiongwei Zhu, Zelin Xu, Bo Dong, Lixue Gong, Yongyuan Liang, Meng Chu, Leigang Qu, Lingdong Kong, Wei Liu, Tat-Seng Chua Title: DanceOPD: On-Policy Generative Field Distillation Arxiv: http://arxiv.org/abs/2606.27377v1 Abstract: Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I),...
In-Context World Modeling for Robotic Control 28.06.2026 23:23
🤗 Upvotes: 44 | cs. RO, cs. CV Authors: Siyin Wang, Junhao Shi, Senyu Fei, Zhaoyang Fu, Li Ji, Jingjing Gong, Xipeng Qiu Title: In-Context World Modeling for Robotic Control Arxiv: http://arxiv.org/abs/2606.26025v2 Abstract: Modern Vision-Language-Action (VLA) models often fail to generalize to novel setups, such as altered camera viewpoints or robot morphologies, because they are typically condi...
Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation 28.06.2026 21:26
🤗 Upvotes: 41 | cs. CV Authors: Zekai Zhang, Jiahao Li, Jie Zhang, Kaiyuan Gao, Kun Yan, Lihan Jiang, Ningyuan Tang, Shengming Yin, Tianhe Wu, Xiaoyue Chen, Xiao Xu, Yan Shu, Yanran Zhang, Yixian Xu, Yuxiang Chen, Zhendong Wang, Zihao Liu, Zikai Zhou, Huishuai Zhang, Dongyan Zhao, Chenfei Wu Title: Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation Arxiv: http://arxiv.org/a...
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning 28.06.2026 23:52
🤗 Upvotes: 40 | cs. CL Authors: Shuo Yang, Jinyang Wu, Zhengxi Lu, Yuhao Shen, Fan Zhang, Lang Feng, Shuai Zhang, Haoran Luo, Zheng Lian, Zhengqi Wen, Jianhua Tao Title: OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning Arxiv: http://arxiv.org/abs/2606.26790v1 Abstract: Outcome-based reinforcement learning provides a stable optimization backbone for language agents, but its sp...
The Verification Horizon: No Silver Bullet for Coding Agent Rewards 28.06.2026 22:55
🤗 Upvotes: 38 | cs. AI, cs. CL Authors: Binghai Wang, Chenlong Zhang, Dayiheng Liu, Jiajun Zhang, Jiawei Chen, Mouxiang Chen, Rongyao Fang, Siyuan Zhang, Xuwu Wang, Yuheng Jing, Zeyao Ma, Zeyu Cui Title: The Verification Horizon: No Silver Bullet for Coding Agent Rewards Arxiv: http://arxiv.org/abs/2606.26300v1 Abstract: A classical intuition holds that verifying a solution is easier than produci...
ViQ: Text-Aligned Visual Quantized Representations at Any Resolution 28.06.2026 25:52
🤗 Upvotes: 37 | cs. CV Authors: Xumin Yu, Zuyan Liu, Zhenyu Yang, Yuhao Dong, Shengsheng Qian, Jiwen Lu, Han Hu, Yongming Rao Title: ViQ: Text-Aligned Visual Quantized Representations at Any Resolution Arxiv: http://arxiv.org/abs/2606.27313v1 Abstract: A unified representation for text and vision is a natural pursuit, as it enables simpler multimodal modeling and more efficient training. However,...
JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting 28.06.2026 20:40
🤗 Upvotes: 30 | cs. CL Authors: Lanxiang Hu, Zhaoxiang Feng, Yulun Wu, Haoran Yuan, Yujie Zhao, Yu-Yang Qian, Bojun Wang, Peng Zhao, Daxin Jiang, Yibo Zhu, Tajana Rosing, Hao Zhang Title: JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting Arxiv: http://arxiv.org/abs/2606.18394v3 Abstract: Speculative decoding (SD) accelerates autoregressive Large Language Mo...
GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents 28.06.2026 23:49
🤗 Upvotes: 26 | cs. AI Authors: Xiao Zhou, Siyue Zhang, Yilun Zhao, Jinbiao Wei, Tingyu Song, Arman Cohan, Chen Zhao Title: GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents Arxiv: http://arxiv.org/abs/2606.24551v1 Abstract: Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces, but existing eva...
Fast LeWorldModel 28.06.2026 24:41
🤗 Upvotes: 22 | cs. LG, cs. CV, cs. RO Authors: Yuntian Gao, Xiangyu Xu Title: Fast LeWorldModel Arxiv: http://arxiv.org/abs/2606.26217v1 Abstract: Joint-Embedding Predictive Architectures (JEPAs), including recent LeWorldModel (LeWM), have become a promising foundation for reconstruction-free visual world models. For visual planning, however, LeWM evaluates candidate action sequences by repeated...
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