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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

N'hésitez pas à visiter le site du podcast et à soutenir son créateur : dailypapercast.transistor.fm

Auteur

Jingwen Liang, Gengyu Wang

Catégorie

Science

Dernier épisode

14 oct. 2026

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Épisodes

InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis 05.08.2026

🤗 Upvotes: 27 | cs. CV Authors: Jiawei Wang, Hao Yu, Yongzhen Hu, Xinyi Yang, Tao Ni, Xin Zhan, Junbo Chen, Xiaowei Zhou, Ruizhen Hu, Sida Peng Title: InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis Arxiv: http://arxiv.org/abs/2608.02437v2 Abstract: Single-image feed-forward 3D Gaussian Splatting (3DGS) aims to directly generate a renderable 3D scene representa...

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement 04.08.2026

🤗 Upvotes: 79 | cs. AI Authors: Qinsi Wang, Jing Shi, Huazheng Wang, Kun Wan, Yiran Wu, Bo Liu, Qingyun Wu, Hai Helen Li, Yiran Chen, Handong Zhao, Wentian Zhao Title: From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement Arxiv: http://arxiv.org/abs/2607.23802v2 Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has driven recent...

Mental World Modeling 04.08.2026

🤗 Upvotes: 61 | cs. CL Authors: Hao Fei, Yiran Zhao Title: Mental World Modeling Arxiv: http://arxiv.org/abs/2607.27201v1 Abstract: World models enable a predictive substrate for planning and action, yet existing formulations merely answer a physical question: what/where it is, and how will it evolve. Human behavior, however, is driven by hidden mental state (what a person believes, wants, intend...

$N_0$-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens 04.08.2026

🤗 Upvotes: 52 | cs. RO Authors: NeoteAI Team, Fudan TEAI Team Title: $N_0$-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens Arxiv: http://arxiv.org/abs/2607.23782v1 Abstract: We present $N_0$-VTLA, a vision-tactile-language-action (VTLA) foundation model capable of (1) fine-grained contact-rich manipulation with tactile perception and tactile-feedback control, and (2)...

Meshy T2: Fast Native Mesh Generation with Flow Matching 04.08.2026

🤗 Upvotes: 44 | cs. GR, cs. CV Authors: Jiale Xu, Rendong Liang, Yuhao Long, Siyuan Shen, Zangyueyang Xian, Zeyi Xu, Yuanming Hu Title: Meshy T2: Fast Native Mesh Generation with Flow Matching Arxiv: http://arxiv.org/abs/2607.28675v1 Abstract: Polygonal meshes are the standard surface representation of modern 3D pipelines, and generating high-quality meshes with artist-style topology is essential...

Weak-to-Strong On-Policy Distillation 04.08.2026

🤗 Upvotes: 46 | cs. LG Authors: Fangxu Yu, Weijia Xu, Michael Xu, Tianyi Zhou, Zinan Lin Title: Weak-to-Strong On-Policy Distillation Arxiv: http://arxiv.org/abs/2607.26246v2 Abstract: On-policy distillation (OPD), which aligns a student with the teacher's token-level distribution on the student's own rollouts, is an effective paradigm for transferring capabilities across LLMs. Prevailing approac...

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications 04.08.2026

🤗 Upvotes: 32 | cs. AI, cs. CL, cs. CY, cs. HC Authors: Xiangning Lin, Shenzhe Zhu, Shu Yang, Zhenyu Zhang, Haoqian Zhang, Yipeng Zhao, Chengxuan Qian, Tianwei Wang, Ziheng Zhang, Zhenlong Yuan, Dingcheng Wang, Juncheng Wu, Yuan Si, Jiaxin Liu, Baolong Bi, Robert Mahari, Tobin South, Dazza Greenwood, Zexue He, Rishi Bommasani, Sophia Kazinnik, Andreas Haupt, Samuele Marro, Erik Brynjolfsson, Alex...

$N_0$-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation 04.08.2026

🤗 Upvotes: 30 | cs. RO Authors: NeoteAI Team, Fudan TEAI Team Title: $N_0$-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich Manipulation Arxiv: http://arxiv.org/abs/2607.23783v1 Abstract: We present $N_0$-TWAM, a tactile-native world-action model for contact-rich manipulation that predicts both future vision and future contact. To our knowledge, it is the first tactile world-actio...

Scaling Properties of Text Conditioning in Visual Generation 04.08.2026

🤗 Upvotes: 27 | cs. CV Authors: Zilong Chen, Chaorui Deng, Kunchang Li, Hongyi Yuan, Haoqi Fan Title: Scaling Properties of Text Conditioning in Visual Generation Arxiv: http://arxiv.org/abs/2607.29679v1 Abstract: We study empirical scaling properties for text conditioning in visual generation. Such properties have rarely been measured because diffusion loss does not scale with the number of toke...

QQWorld: Quantile-Quantile Matching for World Model Regularization 04.08.2026

🤗 Upvotes: 24 | cs. LG, cs. AI, cs. CV, cs. MM, cs. RO Authors: Zhoushun Yu, Xiaoyu Hu, Xiangyu Xu Title: QQWorld: Quantile-Quantile Matching for World Model Regularization Arxiv: http://arxiv.org/abs/2607.28415v1 Abstract: Latent world models enable efficient planning by predicting future states in a compact representation space, but their performance depends critically on the quality of the lea...

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis 01.08.2026

🤗 Upvotes: 285 | cs. CL, cs. AI, cs. IR, cs. LG Authors: Bing Yan, Gregory Wolfe, Stefano Martiniani, Kyunghyun Cho Title: AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis Arxiv: http://arxiv.org/abs/2607.28618v1 Abstract: Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet existing literature-search systems p...

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents 01.08.2026

🤗 Upvotes: 271 | cs. AI, cs. CV Authors: Hanzhang Zhou, Panrong Tong, Xu Zhang, Quyu Kong, Chenglin Cai, Tianyu Xia, Gongjie Zhang, Jianan Zhang, Long Li, Long Chen, Lei Wang, Gaole Dai, Pengxiang Li, Liangyu Chen, Yue Wang, Steven Hoi Title: Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents Arxiv: http://arxiv.org/abs/2607.28227v1 Abstract: GUI agent...

Metis: Memory Foundation Model 01.08.2026

🤗 Upvotes: 245 | cs. CL, cs. LG Authors: Zeyu Zhang, Ziliang Guo, Yihang Sun, Xichong Zhang, Xixuan Hao, Zehao Lin, Yang Zhang, Xiaoyan Zhao, Tong Shen, Bo Tang, Zhi-Qin John Xu, Junchi Yan, Haofen Wang, Xu Chen, Feiyu Xiong, Zhiyu Li, Tat-Seng Chua Title: Metis: Memory Foundation Model Arxiv: http://arxiv.org/abs/2607.26760v1 Abstract: Recent advances in AI agents have increasingly internalized...

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering 01.08.2026

🤗 Upvotes: 158 | cs. CL Authors: Junlin Yang, Che Jiang, Yu Fu, Tianwei Luo, Can Ren, Weizhi Wang, Kaikai Zhao, Hongyi Liu, Yuxin Zuo, Yuru Wang, Yuchen Fan, Kai Tian, Zhenzhao Yuan, Xiaojian Lin, Li Sheng, Rushi Qiang, Guoli Jia, Xingtai Lv, Ermo Hua, Dianqiao Lei, Youbang Sun, Ning Ding, Bowen Zhou, Kaiyan Zhang Title: Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in M...

PhiZero: A World Model Built Around Physical Language 01.08.2026

🤗 Upvotes: 150 | cs. CV Authors: Shuyao Shang, Yuqi Wang, Ruopeng Gao, Xu Chen, Tieniu Tan, Lue Fan, Zhaoxiang Zhang Title: PhiZero: A World Model Built Around Physical Language Arxiv: http://arxiv.org/abs/2607.28624v1 Abstract: We introduce PhiZero, a physical world model built around physical language, a compact discrete representation of world-state transitions. Existing physical world models...

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System 01.08.2026

🤗 Upvotes: 62 | cs. CV, cs. AI Authors: Haodong Li, Tianfei Ren, Xiaoxiao Ma, Chunmei Qing, Zhen Fang, Sipeng He, Ziyu Guo, Haoyu Wu, Juanxi Tian, Yihang Zou, Ruichuan An, Dongzhi Jiang, Boxue Yang, Ji Xie, Xu Huang, Wenhao Yan, Jialv Zou, Zhengrong Yue, Yaxin Luo, Xiaotong Li, Yuzhu Wang, Junyan Ye, Jinjing Zhao, Zehui Chen, Lin Chen, Renye Yan, Feng Zhao, Pheng-Ann Heng Title: VideoCoCo: Code-a...

Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory 01.08.2026

🤗 Upvotes: 48 | cs. CL Authors: Rubin Wei, Jiaqi Cao, Jiarui Wang, Junming Zhang, Qipeng Guo, Bowen Zhou, Zhouhan Lin Title: Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory Arxiv: http://arxiv.org/abs/2607.27919v1 Abstract: Decoder-only language models entangle long-term memory and reasoning in a single parameter set, making it difficult to scale memory capacity independently....

Beacon: Knowing When and How to Perform Agentic Visual Reasoning 01.08.2026

🤗 Upvotes: 45 | cs. CV Authors: Qixun Wang, Yang Shi, Letian Cheng, Zhuoran Zhang, Yan He, Yuqi Tang, Qi Zhang, Xinlei Yu, Ruizhe Chen, Tianrun Xu, Yuanxing Zhang, Pengfei Wan, Haotian Wang, Xianghua Ying Title: Beacon: Knowing When and How to Perform Agentic Visual Reasoning Arxiv: http://arxiv.org/abs/2607.28595v1 Abstract: The fundamental goal of agentic visual reasoning is to improve the succ...

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms 01.08.2026

🤗 Upvotes: 39 | cs. CL Authors: Pengyu Wang, Benfeng Xu, Shaohan Wang, Xin Zeng, Huarui Wu, Lei Zhang, Licheng Zhang Title: BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms Arxiv: http://arxiv.org/abs/2607.26497v2 Abstract: Retrieval-augmented generation (RAG) spans lexical and dense retrieval, graph-based indexing, and agentic search, but these paradigms are usuall...

Flux-OPD: On-Policy Distillation with Evolving Contexts 01.08.2026

🤗 Upvotes: 38 | cs. LG, cs. AI Authors: Yuran Wang, Zekun Wang, Bohan Zeng, Ruixu Zhang, Wenxuan Liu, Liu Yang, Yifan Dai, Yang Shi, Bozhou Li, Chengzhuo Tong, Daili Hua, Yuanxing Zhang, Wentao Zhang Title: Flux-OPD: On-Policy Distillation with Evolving Contexts Arxiv: http://arxiv.org/abs/2607.28022v1 Abstract: Large language model training in open-ended domains lacks verifiable rewards, making...

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM 31.07.2026

🤗 Upvotes: 122 | cs. CV, cs. RO Authors: Hengyi Xie, Chenfei Yao, Xianjin Wu, Xuanyang Xi, Yiping Tang, Di Xu, Yingying Zhu, Dingkang Liang, Xiang Bai, Han Ding Title: TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with &lt;1 GB VRAM Arxiv: http://arxiv.org/abs/2607.27205v1 Abstract: Vision-language-action (VLA) models commonly adopt an LLM-centric $V \to L \to A$ pathwa...

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization 31.07.2026

🤗 Upvotes: 78 | cs. AI Authors: Bo-Wen Zhang, Junwei He, Wen Wang, Song-Lin Lv, Wentao Ma, Rongyi Lin, Shuhan Zhong, Lan-Zhe Guo Title: CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization Arxiv: http://arxiv.org/abs/2607.25659v1 Abstract: Rubric-based reinforcement learning enriches language model training by evaluating model outputs against explicit criteria. Yet in GRP...

HumanCLAW: Can Vision-Language Models Act Through a Body? 31.07.2026

🤗 Upvotes: 67 | cs. CV, cs. RO Authors: Siyao Li, Jiawei Gu, Shuai Liu, Kairui Hu, Zekun Li, Linjie Li, Chengcheng Tang, Po-Chen Wu, Ivan Shugurov, Lingni Ma, Michael Zollhoefer, Sizhe An, Abhay Mittal, Amy Zhao, Ranjay Krishna, Manling Li, Ziwei Liu, Chuan Guo Title: HumanCLAW: Can Vision-Language Models Act Through a Body? Arxiv: http://arxiv.org/abs/2607.27180v1 Abstract: Evaluating whether a...

DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space 31.07.2026

🤗 Upvotes: 57 | cs. AI Authors: Jiangwang Chen, Zixin Song, Junlin Liu, Shuaiyu Zhou, Haiyan Wu, Haihan Shi, Chenxi Zhou, Hanqing Li, Xiao Yang, Da Zhu, Guanjun Jiang, Hai Wan, Xibin Zhao Title: DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space Arxiv: http://arxiv.org/abs/2607.25675v1 Abstract: Text-space optimization adapts large language models (LLMs) by...

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition 31.07.2026

🤗 Upvotes: 41 | cs. CV, cs. AI, cs. CL, cs. LG Authors: Lai Wei, Chengqi Li, Jiapeng Li, Ruina Hu, Yue Wang, Weiran Huang Title: CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition Arxiv: http://arxiv.org/abs/2607.25294v1 Abstract: Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained knowledge. Whil...

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