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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Autor
Jingwen Liang, Gengyu Wang
Categoría
Web del podcast
Último episodio
14 de oct. de 2026
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Episodios
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness 09.09.2026 19:57
🤗 Upvotes: 134 | cs. CL Authors: NeoHorse Team, Guoliang Cao, Guohao Dai, Tianyu Guo, Kai Han, Hailin Hu, Zihan Jiang, Xiang Kuang, Boxun Li, Yulong Li, Zehua Pei, Yuchuan Tian, Jiamin Wang, Yu Wang, Yunhe Wang, Yihong Wu, Haiyang Xu, Shuo Zhang, Hang Zhou, Siyang Cheng, Jiayu Fan, Wei He, Qingrui Jiao, Hongguang Li, Zhiyuan Li, Runke Liu, Xi Liu, Xinchen Liu, Sinno Jialin Pan, Yi Ren, Liuyang So...
Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation 09.09.2026 21:21
🤗 Upvotes: 57 | cs. LG, cs. CL Authors: Youngrok Park, Sangmin Bae, Hojung Jung, Jongwoo Ko, Yunseon Choi, Young Jin Kim, Pashmina Cameron, Aaron Courville, Se-Young Yun Title: Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation Arxiv: http://arxiv.org/abs/2609.08798v1 Abstract: Weak-to-strong generalization asks whether stronger models can learn from weaker supervisors an...
Omni Interaction Agent Technical Report 09.09.2026 22:23
🤗 Upvotes: 57 | eess. AS, cs. AI, cs. LG, cs. MM, cs. SD Authors: Orantqing, Shengpeng Ji, Junlong Tong, Jialong Zuo, Dongjie Fu, Di Cao, Yangzhuo Li, Shangda Wu, Franz, Evan, Theron Veyra, Changhao Pan, Jingyu Lu, Dongchao Yang, Zhifei Xie, Yang Tan, Xiaoyu Shen, Xiaoda Yang, Wenfu Wang, Teddysun, Steveyves, Zhou Zhao, Bryanytian Title: Omni Interaction Agent Technical Report Arxiv: http://arxiv...
DriveZero: End-to-End Driving Beyond Human Demonstrations 09.09.2026 22:13
🤗 Upvotes: 43 | cs. CV Authors: Hao He, Chengcheng Hu, Zirun Su, Heng Zhang, Haisong Liu, Jinke Li, Haochen Tian, Zhenwei Shen, Hongyang Li, Zhichao Li, Yunchen Yang, Bochao Huang, Siyu Zhang, Kuangye Chen, Xiongjie Zhang, Wentao Dai, Hengchen Dai, Siyuan Liu, Zehao Huang, Naiyan Wang Title: DriveZero: End-to-End Driving Beyond Human Demonstrations Arxiv: http://arxiv.org/abs/2609.06055v1 Abstrac...
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation 09.09.2026 20:06
🤗 Upvotes: 37 | cs. RO, cs. CV Authors: AgiBot Research Team, Renhang Liu, Wenzhi Zhao, Zhuo Yang, Liliang Chen, Pengfei Zhou, Shengcong Chen, Guanghui Ren, Youlun Peng, Rongjun Jin, Nan Wang, Sukai Wang, Xindong He, Jinyuan Feng, Ziyu Xiong, Linqing Zhong, Yifei Wei, Feng Han, Long Zhang, Da Huang, Nanshu Zhao, Chenghao Yin, Mo Wu, Zhaodong Yan, Kongtao Hu, Yuxiang Yan, Aogelijiang Niyazi, Yu Fa...
Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout 09.09.2026 20:55
🤗 Upvotes: 34 | cs. CV Authors: Zhuoran Zhao, Shengju Qian, Tongtong Liang, Xianghao Kong, Songchun Zhang, Junchao Huang, Guian Fang, Xin Wang, Pan Hui, Anyi Rao Title: Mask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout Arxiv: http://arxiv.org/abs/2609.09123v1 Abstract: Autoregressive (AR) video diffusion models have shown great potential in real-ti...
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing 09.09.2026 19:31
🤗 Upvotes: 30 | cs. SD, cs. CL, cs. MM Authors: Ziyang Ma, Zhikang Niu, Wenming Tu, Tianrui Wang, Ruiqi Yan, Junxi Liu, Yanru Huo, Nickk Huang, Yang Liu, Qicong Xie, Zeyu Xie, Hui Wang, Haitao Li, Zixuan Jiang, Yalin Li, Jie Fang, Yifan Duan, Zeyue Tian, Guangzheng Li, Haina Zhu, Shuyi Wang, Jinwen Wang, Mingyu Cui, Tian Tan, Auden, Sen Liang, Steve Yves, Shan Yang, Liefeng Bo, Zilong Zheng, Kai...
Miles v0.1: Production-Level Post-Training 09.09.2026 20:34
🤗 Upvotes: 29 | cs. LG, cs. CL Authors: RadixArk, Tom Chen, Mao Cheng, Shi Dong, Kangrui Du, Yanbin Jiang, Jiajun Li, Yiming Li, Tao Lin, Yusheng Su, Andy Ye, Yueming Yuan, Zhichen Zeng Title: Miles v0.1: Production-Level Post-Training Arxiv: http://arxiv.org/abs/2609.08368v1 Abstract: We present Miles v0.1, a full-stack, production-ready system for frontier post-training. Building upon the clean...
SceneMosaic: Efficient and Diverse Simulation-Ready Scene Generation via Hybrid Agentic Layout Evolution 09.09.2026 18:20
🤗 Upvotes: 26 | cs. CV Authors: Xingjian Ran, Xiaoye Mo, Sihao Liu, Jianyu Zhang, Li Luo, Bo Dai Title: SceneMosaic: Efficient and Diverse Simulation-Ready Scene Generation via Hybrid Agentic Layout Evolution Arxiv: http://arxiv.org/abs/2609.05594v1 Abstract: Diverse and simulation-ready indoor scenes are essential for interactive entertainment and embodied AI, yet their scalable generation remai...
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes 04.09.2026 22:49
🤗 Upvotes: 75 | cs. CV, cs. AI Authors: Chuyan Chen, Haoxing Chen, Kun Chen, Zhenglin Cheng, Long Cui, Ruishan Fang, Zhangxuan Gu, Zhicheng Huang, Zhenzhong Lan, Yuanting Lei, Haoquan Li, Jianguo Li, Rongchuan Li, Sidu Li, Tao Lin, Deyuan Liu, Jiacheng Liu, Lin Liu, Yuxuan Lou, Zhisheng Lu, Yuxin Ma, Shuheng Shen, Peng Sun, Chaoyang Wang, Hongjun Wang, Xiaomei Wang, Yongxin Wang, Chengzhang Wu, H...
LatentPress: Context Compression Beyond Text and Vision 04.09.2026 20:22
🤗 Upvotes: 52 | cs. LG, cs. AI Authors: Zhengze Zhou, Hejian Sang Title: LatentPress: Context Compression Beyond Text and Vision Arxiv: http://arxiv.org/abs/2609.01507v2 Abstract: Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPress, which writes conversational histories and lo...
Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM 04.09.2026 20:03
🤗 Upvotes: 51 | cs. AI Authors: Sergii Kozyrev, Davyd Maiboroda Title: Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM Arxiv: http://arxiv.org/abs/2609.04098v1 Abstract: Hybrid LLMs pair softmax attention with linear-attention layers such as Gated DeltaNet (GDN), whose recurrent state summarizes the context in fixed size. Early community 4-bit...
Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning 04.09.2026 20:37
🤗 Upvotes: 50 | cs. CL Authors: Heng Wang, Jielin Qiu, Wenting Zhao, Cheng Qian, Liangwei Yang, Jiawei Han, Heng Ji, Silvio Savarese, Shelby Heinecke, Huan Wang Title: Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning Arxiv: http://arxiv.org/abs/2609.03430v1 Abstract: Large language models achieve superior performance on tasks that require extended reasoning, but long chains...
Rethinking On-Policy Distillation of Large Language Models II: One Training Example 04.09.2026 22:12
🤗 Upvotes: 43 | cs. AI, cs. CL Authors: Zixuan Fu, Bingxiang He, Yuxin Zuo, Haohuan Huang, Jinqian Zhang, Ruhang Xiao, Cheng Qian, Qinyu Luo, Huan-ang Gao, Yudong Wang, Zhiyuan Liu, Ning Ding, Chaojun Xiao Title: Rethinking On-Policy Distillation of Large Language Models II: One Training Example Arxiv: http://arxiv.org/abs/2609.04172v1 Abstract: On-policy distillation (OPD) combines student-gener...
Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States 04.09.2026 22:03
🤗 Upvotes: 29 | cs. CV Authors: Kang Liao, Yihang Luo, Xiao-Ming Wu, Linyi Jin, Size Wu, Chunyu Lin, Yao Zhao, Fei Wang, Wei Li, Chen Change Loy Title: Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States Arxiv: http://arxiv.org/abs/2609.04196v1 Abstract: We propose Puffin-World, a unified multimodal architecture that integrates physical understanding, spatial simulation,...
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments 04.09.2026 22:02
🤗 Upvotes: 23 | cs. AI, cs. CL Authors: Jie Wu, Zhenru Zhang, Beichen Zhang, Xuwu Wang, Yuhui Su, Mouxiang Chen, Peng Wang, Zhihai Wang, Que Shen, Hao Zhou, An Yang, Fei Huang, Yujiu Yang, Dayiheng Liu Title: Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments Arxiv: http://arxiv.org/abs/2609.04148v1 Abstract: As terminal-based code agents become prevalent, agent tra...
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills 03.09.2026 21:16
🤗 Upvotes: 257 | cs. AI, cs. CL Authors: Jianlyu Chen, Yuyang Hu, Hongjin Qian, Jiawei Liu, Wenqing Wei, Xiaolong Chen, Defu Lian, Zhicheng Dou, Chaozhuo Li, Qiwei Ye, Zheng Liu Title: Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Arxiv: http://arxiv.org/abs/2609.02749v1 Abstract: Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agent...
SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models 03.09.2026 20:41
🤗 Upvotes: 103 | cs. CV Authors: Junchao Huang, Guian Fang, Shengju Qian, Xianghao Kong, Zhuoran Zhao, Wei Huang, Yihua Du, Zixin Zhang, Justin Cui, Yuchao Gu, Yukang Chen, Xinting Hu, Tianyu He, Shaoshuai Shi, Zhuotao Tian, Xin Wang, Mike Zheng Shou, Li Jiang Title: SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models Arxiv: http://arxiv.org/abs/2609.02886v1 Abstract: We...
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction 03.09.2026 21:05
🤗 Upvotes: 70 | cs. CL Authors: Yuling Shi, Zhensu Sun, Junsen Dong, Chengcheng Wan, David Lo, Xiaodong Gu Title: EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction Arxiv: http://arxiv.org/abs/2609.02783v1 Abstract: Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single pass of a frontier model over an agentic benchmark c...
It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning 03.09.2026 20:41
🤗 Upvotes: 60 | cs. IR, cs. CL Authors: Runpeng Dai, Kaili Huang, Changsung Kang, Ciya Liao Title: It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning Arxiv: http://arxiv.org/abs/2609.00638v1 Abstract: Retrieval is the first stage of modern search and advertising systems, selecting a candidate set from a large item universe for downstream ranking and auction. Recen...
Language Models Can Control Their Own Attention 03.09.2026 20:59
🤗 Upvotes: 37 | cs. CL, cs. AI, cs. LG Authors: Namgyu Ho, Huzama Ahmad, Woosung Koh, Se-Young Yun, Tal Schuster, Cicero Nogueira dos Santos Title: Language Models Can Control Their Own Attention Arxiv: http://arxiv.org/abs/2609.02737v1 Abstract: Language models spend most of their attention on a small fraction of context, yet they read the entire KV cache to find the few tokens that matter. If t...
On the Design Fundamentals of Pixel Text Representation Learning 03.09.2026 19:42
🤗 Upvotes: 24 | cs. CV, cs. CL Authors: Chaohao Yuan, Ruifeng Yuan, Zhuoxu Huang, Yu Rong, Hong Cheng, Hou Pong Chan, Chenghao Xiao Title: On the Design Fundamentals of Pixel Text Representation Learning Arxiv: http://arxiv.org/abs/2609.01147v1 Abstract: Text-rich visual inputs require models that can read, retrieve, and compress language directly in pixel space, yet existing pixel-text encoders...
StudentSim: Training LLM-based Student Simulators 02.09.2026 20:48
🤗 Upvotes: 196 | cs. CL Authors: Ke Yang, Chenglong Wang, Michel Galley, Chandan Singh, Jeevana Priya Inala, ChengXiang Zhai, Jianfeng Gao Title: StudentSim: Training LLM-based Student Simulators Arxiv: http://arxiv.org/abs/2609.01591v1 Abstract: AI tutors are most useful when they adapt to each student's strengths, weaknesses, and preferred guidance, but evidence about which guidance works for w...
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers 02.09.2026 21:08
🤗 Upvotes: 53 | cs. LG Authors: Shaowen Wang, Ge Zhang, Kairong Luo, Yuhao Wu, Shaofan Liu, Jiaheng Liu, Wenhao Huang, Shen Yan, Jian Li Title: SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers Arxiv: http://arxiv.org/abs/2609.01343v1 Abstract: Looped Transformers increase effective depth by iterating a shared block of layers, but most evaluations compare at fixed model size, confla...
UI-Venus-2 Technical Report 02.09.2026 23:04
🤗 Upvotes: 49 | cs. AI, cs. CL, cs. CV, cs. LG Authors: Venus Team, Zhuohan Cai, Haoxing Chen, Jiaxuan Chen, Weizhi Chen, Changlong Gao, Zhangxuan Gu, Yuan Guo, Yusong Hu, Jianrong Jiang, Jianguo Li, Runze Li, Jinzhen Lin, Zhenyu Ma, Changhua Meng, Han Peng, Xinyu Qiu, Shuheng Shen, Zhongyi Shui, Weiqiang Wang, Ming Wen, Zhuoer Xu, Hang Yan, Kaiwen Yang, Ruilin Yao, Nanjun Yu, Zhengwen Zeng, Lian...
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