Jingwen Liang, Gengyu Wang

Daily Paper Cast

Science EN ↓ 2343 episodes

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

Be sure to visit the podcast's website and support the creator: dailypapercast.transistor.fm

Author

Jingwen Liang, Gengyu Wang

Category

Science

Latest episode

Oct 13, 2026

Where to listen?

Podcasts in the app Replaio Radio Coming soon

Podcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts

Get it on Google Play Install for free Android almost 10M downloads · 4.8 rating iOS soon

Episodes

GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives 13.10.2026

🤗 Upvotes: 107 | cs. CV, cs. AI, cs. LG, cs. RO Authors: Qize Yu, Lianrui Fan, Boyu Chen, Jiaqi Liang, Xini Ding, Yue Chen, Zetian Song, Yuran Wang, Yi Zou, Kaixuan Wang, Tianxing Chen, Wenxuan Song, Bohan Zhou, Mingleyang Li, Siqiao Huang, Yuqi Ye, Caigao Jiang, Wei Wei, Ruihai Wu, Hang Zhang, Yixiao Ge, Shuchang Zhou, Shilong Liu, Xianming Liu, Ping Luo, Shiyu Huang Title: GroundingPI: A Ground...

Scaling Agentic Data for Long-Horizon Terminal Intelligence 13.10.2026

🤗 Upvotes: 85 | cs. CL Authors: Shun Zou, Ziyu Ma, Yi Zou, Yong Wang, Lin Chen, Zehui Chen, Guanhua Chen, Xiangxiang Chu, Feng Zhao Title: Scaling Agentic Data for Long-Horizon Terminal Intelligence Arxiv: http://arxiv.org/abs/2610.13166v1 Abstract: Terminal agents are moving beyond local operations toward completing real-world professional tasks. Short trajectories can demonstrate commands and t...

AgentSWE: Can Coding Agents Build the Agent You Actually Want? 13.10.2026

🤗 Upvotes: 70 | cs. SE, cs. AI, cs. LG Authors: Jiahao Wang, Hongjin Qian, Yuyang Hu, Jiajun Zhang, Zheng Liu Title: AgentSWE: Can Coding Agents Build the Agent You Actually Want? Arxiv: http://arxiv.org/abs/2610.13361v1 Abstract: As the production of software passes into the hands of software itself, coding agents are increasingly commissioned to build agents fitted to their users' own workflows...

Thinking Inertia: LLMs Keep Thinking When Told Not To 13.10.2026

🤗 Upvotes: 43 | cs. CL Authors: Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, Philip Torr, James Zou Title: Thinking Inertia: LLMs Keep Thinking When Told Not To Arxiv: http://arxiv.org/abs/2610.11765v1 Abstract: Large Language Models (LLMs) increasingly ship with explicit "thinking modes", yet their counterpart, "no-thinking", has received far less attention. We study LLMs' no-thinking behavior alon...

Multi-Stream Attention Residuals 13.10.2026

🤗 Upvotes: 32 | cs. CL, cs. CV Authors: Xiaohan Qin, Xiangdong Zhang, Tuo Dai, Sunan Zou, Huaijin Wu, Yebin Yang, Zhuo Xia, Lin Yao, Yuliang Liu, Junchi Yan Title: Multi-Stream Attention Residuals Arxiv: http://arxiv.org/abs/2610.13630v1 Abstract: Attention Residuals (AttnRes) enables content-dependent retrieval over network depth, which can be viewed as single-stream softmax attention along the...

Relevance Does Not Imply Applicability: Experience Activation for Personal GUI Agents 13.10.2026

🤗 Upvotes: 28 | cs. CV Authors: Fuyao Zhang, Xuan Wang, Zherui Li, Jiaming Zhang, Longtao Huang, Wei Yang Bryan Lim Title: Relevance Does Not Imply Applicability: Experience Activation for Personal GUI Agents Arxiv: http://arxiv.org/abs/2609.33304v1 Abstract: Personal Graphical User Interface (GUI) agents rely on interaction history to infer what a user wants from ambiguous instructions and to an...

AgentGarten: Code Worlds for Evolving Agents 09.10.2026

🤗 Upvotes: 96 | cs. CV Authors: Jiawei Chi, Shangchen Miao, Zhiyuan Shi, Kailu Wu, Hanyang Wang, Weiliang Chen, Qiyu Dai, Jinshan Ren, Jun Gao, Mingsheng Long, Yueqi Duan, Jiangran Lyu, Jialong Wu, Fangfu Liu Title: AgentGarten: Code Worlds for Evolving Agents Arxiv: http://arxiv.org/abs/2610.12374v1 Abstract: Interactive virtual worlds allow agents to learn through exploration and interaction. W...

Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments? 09.10.2026

🤗 Upvotes: 95 | cs. AI Authors: Yibo Li, Jinhang Qiu, Zhi Zheng, Qianyun Guo, Jiaying Wu, Shuo Ji, Bryan Hooi Title: Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments? Arxiv: http://arxiv.org/abs/2610.08215v2 Abstract: Learning from experience is essential for LLM agents to adapt to unfamiliar and dynmaic environments. Evaluating this ability is therefore i...

TokenRouter: Efficient Serving System for Token-Level LLM Routing 09.10.2026

🤗 Upvotes: 84 | cs. CL Authors: Tianyu Fu, Tengxuan Liu, Ruoxi Wang, Yixin Dong, Yi Ge, Yichen You, Yu Wang Title: TokenRouter: Efficient Serving System for Token-Level LLM Routing Arxiv: http://arxiv.org/abs/2610.12242v1 Abstract: Large language model (LLM) routing distributes inference work across different models, advancing the cost-quality Pareto frontier of LLM serving. While coarse-grained...

From Traces to Agentic Worlds: Agentic Language World Models for Interactive Environment Simulation 09.10.2026

🤗 Upvotes: 71 | cs. CL Authors: Quanyu Long, Xiao Chen, Jianda Chen, Haozhen Zhang, Qisheng Hu, Jianzhu Bao, Wenya Wang Title: From Traces to Agentic Worlds: Agentic Language World Models for Interactive Environment Simulation Arxiv: http://arxiv.org/abs/2610.06100v1 Abstract: Realistic environment replicas are increasingly valuable for training and evaluating LLM agents, yet the original systems...

SuperNav: An Agentic Navigation System for Any Task in Any Scene 09.10.2026

🤗 Upvotes: 59 | cs. RO, cs. CV Authors: Jinkai Zhang, Jingyi Xu, Yuanhong Yu, Jiarui Guo, Ruizhen Hu, Hujun Bao, Xiaowei Zhou, Sida Peng Title: SuperNav: An Agentic Navigation System for Any Task in Any Scene Arxiv: http://arxiv.org/abs/2610.12126v1 Abstract: General-purpose service robots need navigation systems that can handle diverse human requests in unfamiliar environments, combining task ge...

MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement 09.10.2026

🤗 Upvotes: 43 | cs. CL Authors: Xiaomi LLM-Core Team, Zongming Qiao, Ziyue Hua, Zirui Ou, Zihao Yue, Zihan Jiang, Zhuo Huang, Zhiyang Chen, Zhixian Zheng, Zhipeng Xu, Zhengrui Ma, Yuyang Hu, Yuhang Dong, Yuechen Zhang, Yudong Wang, Yuanxin Liu, Yixin Yang, Yishuo Cai, Yikai Zhao, Yihan Yan, Yifan Zhang, Yifan Song, Xiyu Wei, Xing Zhang, Xin Zhang, Xiaoqian Liu, Xiaodong Ji, Xiangwei Deng, Xueyu G...

In-context Robot Learning Made Simple: A Democratized Recipe for Manipulation Tasks 09.10.2026

🤗 Upvotes: 38 | cs. RO Authors: Minxing Li, Minghao Han, Weizhi Zhao, Hanwen Wang, Xiangshuo Liu, Shuyao Shang, Jingxiang Zhou, Mingchao Sun, Hongyu Pan, Mu Xu, Yu Liu, Lue Fan, Zhaoxiang Zhang Title: In-context Robot Learning Made Simple: A Democratized Recipe for Manipulation Tasks Arxiv: http://arxiv.org/abs/2609.38173v2 Abstract: We study robotic in-context learning (ICL), an emerging paradig...

Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction 09.10.2026

🤗 Upvotes: 36 | cs. CV, cs. AI Authors: Dahyun Chung, Siyoon Jin, Hyunwook Choi, Honggyu An, Junyoung Seo, Hyunsung Kim, Seung Wook Kim, Seungryong Kim Title: Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction Arxiv: http://arxiv.org/abs/2610.12299v1 Abstract: Egocentric world models predict first-person observations conditioned on an agent's actions, but most focus on a si...

DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training 09.10.2026

🤗 Upvotes: 32 | cs. RO, cs. CV Authors: Junyan Li, Ruizhi Li, Yu Liu, Xiangshuo Liu, Mingchao Sun, Hongyu Pan, Mu Xu, Lue Fan, Zhaoxiang Zhang Title: DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training Arxiv: http://arxiv.org/abs/2610.12468v1 Abstract: We present DreamTrue, a multi-view, cross-embodiment robot world model for action-faithful and physically plausible vid...

Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching 09.10.2026

🤗 Upvotes: 24 | cs. CV, cs. LG Authors: Luping Liu, Bingyi Kang, Yifan Wang, Dong Xu Title: Beyond Spatio-Temporal Priors: A Generalizable Approach for Dense Correspondence Matching Arxiv: http://arxiv.org/abs/2610.12421v1 Abstract: Dense correspondence matching has historically been bounded by simplifying spatio-temporal priors, such as smooth motion and rigid geometry. While effective for class...

STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization 08.10.2026

🤗 Upvotes: 84 | cs. CL, cs. AI, cs. LG Authors: Bingchen Yao, Haobo Xu, Haokun Lin, Yichen Wu, Ziyu Guo, Renrui Zhang, Zhichao Lu, Zhenan Sun, Ying Wei Title: STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization Arxiv: http://arxiv.org/abs/2609.38169v1 Abstract: Linear attention replaces growing KV caches with fixed-size recurrent states, yet these persistent states...

Long-WAM: Scaling the Context of World-Action Models 08.10.2026

🤗 Upvotes: 78 | cs. RO, cs. AI, cs. CV Authors: Wei Huang, Bohan Zhang, Chenzhi Liu, Isabella Liu, Shuai Yang, Weian Mao, Luozhou Wang, Yicheng Xiao, Weifeng Lin, Qixin Hu, Bryan Chu, Sifei Liu, Linxi Fan, Xiaojuan Qi, Song Han, Yukang Chen Title: Long-WAM: Scaling the Context of World-Action Models Arxiv: http://arxiv.org/abs/2610.10528v1 Abstract: Real-time robot control demands enough visual h...

nanoMuse: An Open-Source Personal Agent for Every Device You Own 08.10.2026

🤗 Upvotes: 67 | cs. AI Authors: Guangyi Liu, Yong Liu, Jiangning Zhang Title: nanoMuse: An Open-Source Personal Agent for Every Device You Own Arxiv: http://arxiv.org/abs/2610.08699v1 Abstract: Assistants from 2011 answered and waited, and agents from 2023 did a task and stopped. In September 2026 Meta's Muse showed an agent for one person, with accounts, devices, memory and a conversation that l...

Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness 08.10.2026

🤗 Upvotes: 61 | cs. AI, cs. MA, cs. SE Authors: Jiajun Chen, Haoyu Wu, Mingda Jia, Xihui Liu Title: Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness Arxiv: http://arxiv.org/abs/2610.08621v1 Abstract: Recent game design agents have made substantial progress in generating playable games. However, program correctness does not ensure an enjoyable experience for player...

Questioning the Questions: Sustaining Self-Evolution in Reasoning Models 08.10.2026

🤗 Upvotes: 57 | cs. LG, cs. AI, cs. CL Authors: Jinyuan Li, Chengsong Huang, Langlin Huang, Donghong Cai, Shiping Gao, Yuyi Yang, Jiaxin Huang Title: Questioning the Questions: Sustaining Self-Evolution in Reasoning Models Arxiv: http://arxiv.org/abs/2610.04299v2 Abstract: Self-evolving reasoning models learn from their own generated questions, yet repeated self-training can lead to performance c...

DecepEval: A Benchmark for Evaluating Deception in LLM Agents 08.10.2026

🤗 Upvotes: 55 | cs. LG Authors: Yiming Xu, Hongyue Yu, Beihua Yang, Zihan Chen, Yixin Liu, Zhen Peng, Bin Shi, Bo Dong, Chao Shen, Irwin King, Qinghua Zheng Title: DecepEval: A Benchmark for Evaluating Deception in LLM Agents Arxiv: http://arxiv.org/abs/2610.07967v1 Abstract: As large language model (LLM) agents become increasingly autonomous, they may pursue task performance through deception, r...

GRACE: Generation-aware latent compression for efficient video generation 08.10.2026

🤗 Upvotes: 55 | cs. CV Authors: Jiyoung Kim, Paul Hyunbin Cho, Jisu Nam, Donghoon Lee, Hyunsung Go, Yeonkyeong Lee, Hansaem Kim, Seungryong Kim Title: GRACE: Generation-aware latent compression for efficient video generation Arxiv: http://arxiv.org/abs/2610.10524v1 Abstract: Highly compressed video autoencoders offer an effective way to accelerate video diffusion models, as the Diffusion Transfor...

VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction 08.10.2026

🤗 Upvotes: 51 | cs. CV Authors: Qiutong Chen, Yuchan Guo, Zhenlong Yuan, Haobo Yang, Fangfang Lin, Xinyi Long, Yin Wang, Zijian Song, Rui Lan, Shi Qiu, Boyuan Pan, Yang Luo, Yuyin Zhou Title: VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction Arxiv: http://arxiv.org/abs/2610.06293v1 Abstract: Multimodal Large Language Models (MLLMs) have demo...

SGF+: Decoupling Gradient Flows for Autoregressive Video Generation 08.10.2026

🤗 Upvotes: 46 | cs. CV Authors: Zihan Su, Junhao Zhuang, Yaowei Li, Siwen Lu, Haoran Li, Lingen Li, Haoyu Wu, Weiyang Jin, Songchun Zhang, Haoyang Huang, Chun Yuan, Zeyue Xue, Nan Duan Title: SGF+: Decoupling Gradient Flows for Autoregressive Video Generation Arxiv: http://arxiv.org/abs/2610.10429v1 Abstract: Autoregressive video generation requires denoising the current frames while writing thei...

Listen to the Daily Paper Cast podcast in Replaio

Radio and podcasts in one app - free, with no sign-up. Install today and do not miss the launch

Get it on Google Play

Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.