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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

24:31

$δ$-mem: Efficient Online Memory for Large Language...

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 90 | cs.AI Authors: Jingdi Lei, Di Zhang, Junxian Li, Weida Wang, Kaixuan Fan, Xiang Liu, Qihan Liu, Xiaoteng Ma, Baian Chen, Soujanya Poria Title: $δ$-mem: Efficient Online Memory for Large Language Models Arxiv: http://arxiv.org/abs/2605.12357v1 Abstract: Large language models increasingly need to accumulate and reuse historical information in long-term assistants

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22:37

RubricEM: Meta-RL with Rubric-guided Policy...

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 66 | cs.CL, cs.LG Authors: Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang, Jun Yan, Yanfei Chen, Chun-Liang Li, Long T. Le, Rujun Han, George Lee, Hanghang Tong, Chen-Yu Lee, Tomas Pfister Title: RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards Arxiv: http://arxiv.org/abs/2605.10899v1 Abstract: Training deep research agents, namely

en

22:41

Do Enterprise Systems Need Learned World Models? The...

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 53 | cs.AI, cs.CL, cs.LG Authors: Jishnu Sethumadhavan Nair, Patrice Bechard, Rishabh Maheshwary, Surajit Dasgupta, Sravan Ramachandran, Aakash Bhagat, Shruthan Radhakrishna, Pulkit Pattnaik, Johan Obando-Ceron, Shiva Krishna Reddy Malay, Sagar Davasam, Seganrasan Subramanian, Vipul Mittal, Sridhar Krishna Nemala, Christopher Pal, Srinivas Sunkara, Sai Rajeswar Title: Do Enterprise Systems Need Learned World Models

en

24:43

World Action Models: The Next Frontier in Embodied AI

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 51 | cs.RO, cs.CL, cs.CV Authors: Siyin Wang, Junhao Shi, Zhaoyang Fu, Xinzhe He, Feihong Liu, Chenchen Yang, Yikang Zhou, Zhaoye Fei, Jingjing Gong, Jinlan Fu, Mike Zheng Shou, Xuanjing Huang, Xipeng Qiu, Yu-Gang Jiang Title: World Action Models: The Next Frontier in Embodied AI Arxiv: http://arxiv.org/abs/2605.12090v1 Abstract: Vision-Language-Action (VLA) models

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25:20

Beyond the Last Layer: Multi-Layer Representation...

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 30 | cs.CV, cs.AI Authors: Xuanyu Zhu, Yan Bai, Yang Shi, Yihang Lou, Yuanxing Zhang, Jing Jin, Yuan Zhou Title: Beyond the Last Layer: Multi-Layer Representation Fusion for Visual Tokenization Arxiv: http://arxiv.org/abs/2605.10780v2 Abstract: Representation autoencoders that reuse frozen pretrained vision encoders as visual tokenizers have achieved strong

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24:35

Efficient Pre-Training with Token Superposition

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 30 | cs.CL Authors: Bowen Peng, Théo Gigant, Jeffrey Quesnelle Title: Efficient Pre-Training with Token Superposition Arxiv: http://arxiv.org/abs/2605.06546v1 Abstract: Pre-training of Large Language Models is often prohibitively expensive and inefficient at scale, requiring complex and invasive modifications in order to achieve high data throughput. In this work, we

en

23:59

AlphaGRPO: Unlocking Self-Reflective Multimodal...

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 28 | cs.CV, cs.AI, cs.LG Authors: Runhui Huang, Jie Wu, Rui Yang, Zhe Liu, Hengshuang Zhao Title: AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward Arxiv: http://arxiv.org/abs/2605.12495v1 Abstract: In this paper, we propose AlphaGRPO, a novel framework that applies Group Relative Policy Optimization (GRPO) to

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21:44

MCP-Cosmos: World Model-Augmented Agents for Complex...

Daily Paper Cast ·

2026/05/14

🤗 Upvotes: 27 | cs.AI, cs.MA Authors: Giridhar Ganapavarapu, Dhaval Patel Title: MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments Arxiv: http://arxiv.org/abs/2605.09131v1 Abstract: The Model Context Protocol (MCP) has unified the interface between Large Language Models (LLMs) and external tools, yet a fundamental gap remains in how agents

en

23:03

Qwen-Image-2.0 Technical Report

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 78 | cs.CVAuthors: Bing Zhao, Chenfei Wu, Deqing Li, Hao Meng, Jiahao Li, Jie Zhang, Jingren Zhou, Junyang Lin, Kaiyuan Gao, Kuan Cao, Kun Yan, Liang Peng, Lihan Jiang, Niantong Li, Ningyuan Tang, Shengming Yin, Tianhe Wu, Xiao Xu, Xiaoyue Chen, Xihua Wang, Yan Shu, Yanran Zhang, Yi Wang, Yilei Chen, Ying Ba, Yixian Xu, Yujia Wu, Yuxiang Chen, Zecheng Tang, Zekai Zhang, Zhendong Wang, Zihao Liu, Zikai Zhou, An Yang, Chen Cheng, Chenxu Lv,

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23:59

Soohak: A Mathematician-Curated Benchmark for...

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 66 | cs.CL Authors: Guijin Son, Seungone Kim, Catherine Arnett, Hyunwoo Ko, Hyein Lee, Hyeonah Kang, Jiang Longxi, Jin Yun, JungYup Lee, Kyungmin Lee, Sam Yoosuk Kim, Sang Park, Seunghyeok Hong, SeungJae Lee, Seungyeop Yi, Shinae Shin, SunHye Bok, Sunyoung Shin, Yonghoon Ji, Youngtaek Kim, Hanearl Jung, Akari Asai, Graham Neubig, Sean Welleck, Youngjae Yu, Akshelin R, Alexander B. Ivanov, Boboev Muhammadjon, Chaeyoung Han, Christian Stump,

en

25:26

CollabVR: Collaborative Video Reasoning with...

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 54 | cs.CV Authors: Joowon Kim, Seungho Shin, Joonhyung Park, Eunho Yang Title: CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models Arxiv: http://arxiv.org/abs/2605.08735v1 Abstract: Recent "Thinking with Video" approaches use Video Generation Models (VGMs) for visual reasoning by producing temporally coherent Chain-of-Frames as

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23:17

TMAS: Scaling Test-Time Compute via Multi-Agent Synergy

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 44 | cs.AI Authors: George Wu, Nan Jing, Qing Yi, Chuan Hao, Ming Yang, Feng Chang, Yuan Wei, Jian Yang, Ran Tao, Bryan Dai Title: TMAS: Scaling Test-Time Compute via Multi-Agent Synergy Arxiv: http://arxiv.org/abs/2605.10344v1 Abstract: Test-time scaling has become an effective paradigm for improving the reasoning ability of large language models by allocating

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22:55

PaperFit: Vision-in-the-Loop Typesetting Optimization...

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 29 | cs.AI, cs.SE Authors: Bihui Yu, Xinglong Xu, Junjie Jiang, Jiabei Cheng, Caijun Jia, Siyuan Li, Conghui He, Jingxuan Wei, Cheng Tan Title: PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents Arxiv: http://arxiv.org/abs/2605.10341v1 Abstract: A LaTeX manuscript that compiles without error is not necessarily publication-ready. The

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21:44

Model Merging Scaling Laws in Large Language Models

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 26 | cs.AI Authors: Yuanyi Wang, Yanggan Gu, Yiming Zhang, Qi Zhou, Zhaoyi Yan, Congkai Xie, Xinyao Wang, Jianbo Yuan, Hongxia Yang Title: Model Merging Scaling Laws in Large Language Models Arxiv: http://arxiv.org/abs/2509.24244v4 Abstract: We study empirical scaling laws for language model merging measured by cross-entropy. Despite its wide practical use, merging

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21:27

SEIF: Self-Evolving Reinforcement Learning for...

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 25 | cs.CL Authors: Qingyu Ren, Qianyu He, Jiajie Zhu, Xingzhou Chen, Jingwen Chang, Zeye Sun, Han Xia, Fei Yu, Jiaqing Liang, Yanghua Xiao Title: SEIF: Self-Evolving Reinforcement Learning for Instruction Following Arxiv: http://arxiv.org/abs/2605.07465v1 Abstract: Instruction following is a fundamental capability of large language models (LLMs), yet continuously

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22:26

WorldReasonBench: Human-Aligned Stress Testing of...

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 24 | cs.CV Authors: Keming Wu, Yijing Cui, Wenhan Xue, Qijie Wang, Xuan Luo, Zhiyuan Feng, Zuhao Yang, Sudong Wang, Sicong Jiang, Haowei Zhu, Zihan Wang, Ping Nie, Wenhu Chen, Bin Wang Title: WorldReasonBench: Human-Aligned Stress Testing of Video Generators as Future World-State Predictors Arxiv: http://arxiv.org/abs/2605.10434v1 Abstract: Commercial video generation

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22:29

Memory-Efficient Looped Transformer: Decoupling...

Daily Paper Cast ·

2026/05/13

🤗 Upvotes: 21 | cs.CL, cs.AI, cs.LG Authors: Victor Conchello Vendrell, Arnau Padres Masdemont, Niccolò Grillo, Jordi Ros-Giralt, Arash Behboodi, Fabio Valerio Massoli Title: Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models Arxiv: http://arxiv.org/abs/2605.07721v1 Abstract: Recurrent LLM architectures have emerged as a promising

en

21:53

Mean Mode Screaming: Mean--Variance Split Residuals...

Daily Paper Cast ·

2026/05/12

🤗 Upvotes: 106 | cs.LG, cs.CV Authors: Pengqi Lu Title: Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers Arxiv: http://arxiv.org/abs/2605.06169v1 Abstract: Scaling Diffusion Transformers (DiTs) to hundreds of layers introduces a structural vulnerability: networks can enter a silent, mean-dominated collapse state that homogenizes token

en

26:15

Flow-OPD: On-Policy Distillation for Flow Matching...

Daily Paper Cast ·

2026/05/12

🤗 Upvotes: 79 | cs.CV, cs.AI Authors: Zhen Fang, Wenxuan Huang, Yu Zeng, Yiming Zhao, Shuang Chen, Kaituo Feng, Yunlong Lin, Lin Chen, Zehui Chen, Shaosheng Cao, Feng Zhao Title: Flow-OPD: On-Policy Distillation for Flow Matching Models Arxiv: http://arxiv.org/abs/2605.08063v1 Abstract: Existing Flow Matching (FM) text-to-image models suffer from two critical bottlenecks under

en

25:21

HyperEyes: Dual-Grained Efficiency-Aware...

Daily Paper Cast ·

2026/05/12

🤗 Upvotes: 57 | cs.LG, cs.AI Authors: Guankai Li, Jiabin Chen, Yi Xu, Xichen Zhang, Yuan Lu Title: HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents Arxiv: http://arxiv.org/abs/2605.07177v1 Abstract: Existing multimodal search agents process target entities sequentially, issuing one tool call per entity and accumulating

en

1,967 results

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